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ORCIDBIBM 2021: Houston, TX, USA
- Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021. IEEE 2021, ISBN 978-1-6654-0126-5 - M. Madan Babu:
Abstract: Variation in GPCR signaling: Implications for drug discovery. 1-2 - Yubraj Gupta
, Carlos Costa, Eduardo Pinho, Luís A. Bastião Silva:
Improving the Visualization and Dicomization process for the Stacked Whole Slide Imaging. 1-8 - Arnaud Delorme, Jeffery A. Martin:
Automated Data Cleaning for the Muse EEG. 1-5 - Hongliu Yang, Matthias Eberlein, Jens Müller, Ronald Tetzlaff:
Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity? 1-6 - James Geller, Navya Martin Kollapally:
Detecting, Reporting And Alleviating Racial Biases In Standardized Medical Terminologies And Ontologies. 1-5 - Li Shen:
Brain imaging genetics: integrated analysis and machine learning. 1 - Sai Mattapalli, Rishi Athavale:
ALLNet: A Hybrid Convolutional Neural Network to Improve Diagnosis of Acute Lymphocytic Leukemia (ALL) in White Blood Cells. 1-7 - Surabhi Mishra, Mahua Bhattacharya:
A combined Feature extraction technique for cancer classification based on deep learning approach. 1-7 - Richard H. Scheuermann:
Abstract: Explainable artificial intelligence and single cell genomics to understand the cellular complexity of human brain. 4 - Yihang Bao, Fei He, Weixi Wang, Han Wang, Minglong Dong:
Discover the Binding Domain of Transmembrane Proteins Based on Structural Universality. 5-11 - Cheng Chen, Yuguo Zha, Daming Zhu, Kang Ning, Xuefeng Cui:
Hydrogen bonds meet self-attention: all you need for protein structure embedding. 12-17 - Cheng Chen, Zongzhao Qiu, Zhenghe Yang, Bin Yu, Xuefeng Cui:
Jointly Learning to Align and Aggregate with Cross Attention Pooling for Peptide-MHC Class I Binding Prediction. 18-23 - Sheng Chen, Sen Zhang, Xiongjun Li, Yubao Liu, Yuedong Yang:
SEGEM: a Fast and Accurate Automated Protein Backbone Structure Modeling Method for Cryo-EM. 24-31 - Tiansu Gong, Fusong Ju, Shiwei Sun, Dongbo Bu:
SASA-Net: A spatial-aware self-attention mechanism for building protein 3D structure directly from inter-residue distances. 32-37 - Chen Jin, Zhuangwei Shi, Han Zhang, Yanbin Yin:
Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training. 38-43 - Hailong Jin, Wei Du, Jiawei Gu, Tianhao Zhang, Xiaohu Shi:
Combining GCN and Bi-LSTM for Protein Secondary Structure Prediction. 44-49 - Matthew Kirchhof, Christopher J. F. Cameron, Stefan C. Kremer:
End-to-end chromosomal compartment prediction from reference genomes. 50-57 - Yawei Li, Qingyun Liu, Zexian Zeng, Yuan Luo:
Unsupervised clustering analysis of SARS-Cov-2 population structure reveals six major subtypes at early stage across the world. 58-63 - Sandun Rajapaksa, Dinithi Sumanaweera, Maria Garcia de la Banda, Peter J. Stuckey, David Abramson, Lloyd Allison, Arthur M. Lesk, Arun Siddharth Konagurthu:
On identifying statistical redundancy at the level of amino acid subsequences. 64-71 - Ali Sekmen, Kamal Al-Nasr, Christopher Jones:
Subspace Modeling for Classification of Protein Secondary Structure Elements from Cα Trace. 72-79 - Mengwei Sun, Yuqing Qian, Yijie Ding, Jijun Tang, Quan Zou:
Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model. 80-85 - Chengcheng Sun, Haitao Jiang:
An approximation algorithm for unifying adjacencies by double cut and joins in unsigned genomes. 86-91 - Yuxiao Wang, Zongzhao Qiu, Qihong Jiao, Cheng Chen, Zhaoxu Meng, Xuefeng Cui:
Structure-Based Protein-Drug Affinity Prediction with Spatial Attention Mechanisms. 92-97 - Min Zeng, Nian Wang, Yifan Wu, Yiming Li, Fang-Xiang Wu, Min Li:
Improving human essential protein prediction using only protein sequences via ensemble learning. 98-103 - Haiping Zhang, Tingting Zhang, Konda Mani Saravanan, Linbu Liao, Hao Wu, Haishan Zhang, Huiling Zhang, Yi Pan, Xuli Wu, Yanjie Wei:
A novel virtual drug screening pipeline with deep-leaning as core component identifies inhibitor of pancreatic alpha-amylase. 104-111 - Shuo Zhang, Changhuo Yang, Hong-Dong Li, Jianxin Wang:
GraphIsoFun: a graph neural network based approach for splice isoform function prediction. 112-117 - Pan Zhang, Shuangjia Zheng, Jianwen Chen, Yaoqi Zhou, Yuedong Yang:
DeepANIS: Predicting antibody paratope from concatenated CDR sequences by integrating bidirectional long-short-term memory and transformer neural networks. 118-124 - Xuecong Fu, Russell Schwartz:
ConTreeDP: A consensus method of tumor trees based on maximum directed partition support problem. 125-130 - He Huang, Chengshi Zeng, Xinqi Gong:
Inter-protein contact map generated only from intra-monomer by image inpainting. 131-136 - Lu Jiang, Jiahao Sun, Yue Wang, Qiao Ning, Na Luo, Minghao Yin:
Heterogeneous Graph Convolutional Network integrates Multi-modal Similarities for Drug-Target Interaction Prediction. 137-140 - Shuai Lu, Yuguang Li, Xiaofei Nan, Shoutao Zhang:
Attention-based Convolutional Neural Networks for Protein-Protein Interaction Site Prediction. 141-144 - Benjamin Soibam:
Deep learning predicts boundaries of topologically associated domains in human cell lines using CTCF, RAD21, and 12 epigenetic signals. 145-150 - Carlos Soto, Audrey Dalgarno, Darshan W. Bryner, Benjamin McLaughlin, Nicola Neretti, Anuj Srivastava:
Representation of Chromosome Conformations Using a Shape Alphabet Across Modeling Methods. 151-156 - Aakriti Upadhyay, Tuan Tran, Chinwe Ekenna:
A topology approach towards modeling activities and properties on a biomolecular surface. 157-162 - Xiangwen Wang, Yonggang Lu:
Heterogeneous Cryo-EM Projection Image Classification Based on Common Lines. 163-166 - Fu Wang, Liangliang Yuan, Yang Yang:
Predicting RNA-RBP Interactions by Using a Pseudo-Siamese Network. 167-170 - Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde Moctard Oloulade, Xiaohua Hu:
Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning. 171-176 - Jiechen Li, Xiangxiang Zeng, Yong Dou, Fei Xia, Shaoliang Peng:
LADstackING: Stacking Ensemble Learning-based Computational Model for Predicting Potential LncRNA-disease Associations. 177-182 - Dayun Liu, Yi Luo, Jingjing Zheng, Hanlin Xu, Jiaxuan Zhang, Lei Deng:
GCNSDA: Predicting snoRNA-disease associations via graph convolutional network. 183-188 - Jiawei Luo, Zihan Lai, Cong Shen, Pei Liu, Heyuan Shi:
Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs. 189-196 - Cole A. Lyman, Matthew C. Morris, Spencer Richman, Hong Bao Cao, Antony Scerri, Chris Cheadle, Gordon Broderick:
High Fidelity Modeling of Pulse Dynamics using Logic Networks. 197-204 - Yurong Qian, Jingjing Zheng, Zhe Zhang, Ying Jiang, Jiaxuan Zhang, Lei Deng:
CMIVGSD: circRNA-miRNA Interaction Prediction Based on Variational Graph Auto-Encoder and Singular Value Decomposition. 205-210 - Haojiang Tan, Sichao Qiu, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo:
Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network. 211-216 - Song Yu, Hanlin Xu, Yizhan Li, Dayun Liu, Lei Deng:
LGCMDS: Predicting miRNA-Drug Sensitivity based on Light Graph Convolution Network. 217-222 - Yanping Zeng, Xuhua Yan, Zhenlan Liang, Ruiqing Zheng, Min Li:
MKG: a mutual information based method to infer single cell gene regulatory network. 223-228 - Lingzhi Zhu, Guihua Duan, Cheng Yan, Jianxin Wang:
Identifying virus-receptor interactions through matrix completion with similarity fusion. 229-234 - Yun Zuo, Xiangrong Liu, Xiangxiang Zeng:
Pm6 A: an Integrated Classification Algorithm for 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Identifying m6 A Sites. 235-240 - Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Juan Liu:
COMNA: Core-attachment based protein complex detection via multiple network alignment. 241-244 - Pujan Joshi, Honglin Wang, Salvatore Jaramillo, Seung-Hyun Hong, Charles Giardina, Dong-Guk Shin:
Identification of Crosstalk between Biological Pathway Routes in Cancer Cohorts. 245-248 - Faning Long, Xiaojun Ding, Xiaoqing Peng, Jianxin Wang, Xiaoshu Zhu:
SCOTCluster: Deep Clustering with Optimal Transport for Large-scale Single-cell RNA-seq Data. 249-252 - Lorenzo Martini, Roberta Bardini, Stefano Di Carlo:
Meta-Analysis of cortical inhibitory interneurons markers landscape and their performances in scRNA-seq studies. 253-258 - Advaith Nila Narayanan, Geervani Koneti:
An Efficient Methodology for PK-PD Data Analysis Based on Novel Bound Selection and Modified Spiral Dynamic Optimization Methods. 259-265 - Xia Sun, Chengcheng Fu, Suoqi Liu, Wenjie Chen, Ran Zhong, Tingting He, Xingpeng Jiang:
Multi-type Microbial Relation Extraction by Transfer Learning. 266-269 - Honglin Wang, Pujan Joshi, Seung-Hyun Hong, Dong-Ju Shin, Dong-Guk Shin:
ctBuilder: A framework for building pathway crosstalks by combining single cell data with bulk cell data. 270-273 - Xin Yu, Wenjun Wu, Pu Feng, Yongkai Tian:
Swarm Inverse Reinforcement Learning for Biological Systems. 274-279 - Junyao Zhang, Xiaogang Liu, Xiaoke Ma:
Temporal Link Prediction for Cancer Networks using Structural Consistency Regularized Non-negative Matrix Factorization. 280-283 - Aixiao Zou, Junzhong Ji:
Learning brain effective connectivity networks via controllable variational autoencoder. 284-287 - Yunfei Hu, V. Mangal Sanidhya, Lu Zhang, Zhou Xin:
An ensemble deep learning framework to refine large deletions in linked-reads. 288-295 - Chenchen Li, Jin Zhao, Haodi Feng, Daming Zhu:
TransCoord: Genome-guided Transcripts Assembly by Coordinating Candidate Paths into Two-phased Linear Programming. 296-301 - Zhenlan Liang, Ruiqing Zheng, Siqi Chen, Xuhua Yan, Min Li:
DeepCI: a deep learning based clustering method for single cell RNA-seq data. 302-307 - Zongzhao Qiu, Qihong Jiao, Yuxiao Wang, Cheng Chen, Daming Zhu, Xuefeng Cui:
rzMLP-DTA: gMLP network with ReZero for sequence-based drug-target affinity prediction. 308-313 - Xin Wang, Jun Wang, Guoxian Yu, Beibei Xin, Maozu Guo:
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. 314-319 - Yao-Zhong Zhang, Kiyoshi Yamaguchi, Sera Hatakeyama, Yoichi Furukawa, Satoru Miyano, Rui Yamaguchi, Seiya Imoto:
On the application of BERT models for nanopore methylation detection. 320-327 - Lan Huang, Hongrui Guan, Yanchun Liang, Renchu Guan, Xiaoyue Feng:
COVID-19 Knowledge Graph for Drug and Vaccine Development. 328-333 - Qihong Jiao, Zongzhao Qiu, Yuxiao Wang, Cheng Chen, Zhenghe Yang, Xuefeng Cui:
Edge-Gated Graph Neural Network for Predicting Protein-Ligand Binding Affinities. 334-339 - Zhirui Liao, Xiaodi Huang, Hiroshi Mamitsuka, Shanfeng Zhu:
Drug3D-DTI: Improved Drug-target Interaction Prediction by Incorporating Spatial Information of Small Molecules. 340-347 - Yu Wang, Hui Wang, Meijie Hou, Yaojun Wang, Dongbo Bu, Chunming Zhang, Chuncui Huang, Shiwei Sun:
Glycan immunogenicity prediction based on Graph neural network. 348-353 - Chunyu Wang, Yan Zhu, Naifeng Wen, Lingling Zhao, Junjie Wang:
SeqGO-CPA: Improving Compound-Protein Binding Affinity Prediction with Sequence Information and Gene Ontology Knowledge. 354-359 - Naveed Ahmed Azam, Jianshen Zhu, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu:
Molecular Design Based on Artificial Neural Networks, Integer Programming and Grid Neighbor Search. 360-363 - Jonghwan Choi, Sangmin Seo, Jinuk Park, Sanghyun Park:
MolBit: De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem. 364-367 - Yuanyuan Deng, Song Yu, Lei Deng, Hui Liu, Xuejun Liu, Yi Luo:
A multi-task graph convolutional network modeling of drug-drug interactions and synergistic efficacy. 368-371 - Yuanqi Du, Yinkai Wang, Fardina Fathmiul Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu:
Deep Latent-Variable Models for Controllable Molecule Generation. 372-375 - Natasha Danielle Sachiko L. De Guzman, Jose Alfonso C. Madroño, Marla A. Endriga, Enrique Jose L. Frio:
In Silico Docking of Traditional Chinese Medicine Compounds and Novel Redesigned Ligands to Pseudomonas aeruginosa Quinolone Signaling Proteins PqsA and PqsD. 376-380 - Zijing Liu, Xianbin Ye, Xiaoming Fang, Fan Wang, Hua Wu, Haifeng Wang:
Docking-based Virtual Screening with Multi-Task Learning. 381-385 - Chao Deng, Cui-Xiang Lin, Hong-Dong Li:
Improving the Prediction of Disease-associated Genes by Integrating Annotated Gene Sets. 386-391 - Mingliang Dou, Jijun Tang, Fei Guo:
Document-level DDI relation extraction with document-entity embedding. 392-397 - Fei He, Joshua Thompson, Ziting Mao, Yijie Ren, Yulia I. Nussbaum, Olha Kholod, Dmitriy Shin, Mark Hannink, Mihail Popescu, Dong Xu:
Identifying Genes and Their Interactions from Pathway Figures and Text in Biomedical Articles. 398-405 - Boya Ji, Jiawei Luo, Liangrui Pan, Xiaolan Xie, Shaoliang Peng:
DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. 406-411 - Yankai Jiang, Lei Zhang, Yiming Li, Xiangyang He, Hanxiao Huang, Keqing Zhu, Yubo Tao, Hai Lin:
DeepNFT: Towards Precise Neurofibrillary Tangle Detection via Improving Multi-scale Feature Fusion and Adversary. 412-417 - Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, Xianzi Yu:
Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy. 418-423 - Xu Jin, MingMing Liu, WenQian He, Lin Wang, Ling Ma, Yalou Huang, Maoqiang Xie:
Prioritizing Disease Genes via Multi-View Nonnegative Matrix Factorization with Layer-Wise Explicit Hierarchical Constraint. 424-429 - Lanju Kong, Xiaolin Song, Qingqing Yin, Qingzhong Li:
OO-LSTM: A trusted medical transfers prediction model with on-chain and off-chain data fusion. 430-437 - Lishuang Li, Ruiyuan Lian, Hongbin Lu:
Document-Level Biomedical Relation Extraction with Generative Adversarial Network and Dual-Attention Multi-Instance Learning. 438-443 - Wei Li, Han Zhang, Qingqing Zhao, Jian Liu, Yanbin Yin:
Adversarial Dual-Channel Variational Graph Autoencoder for Synthetic Lethality Prediction in Human Cancers. 444-449 - Shuchen Li, Wei Wang, Jieyue He:
KGAPG: Knowledge-Aware Neural Group Representation Learning for Attentive Prescription Generation of Traditional Chinese Medicine. 450-455 - Bojing Li, Duo Zhong, Xingpeng Jiang, Tingting He:
TopoPhy-CNN: Integrating Topological Information of Phylogenetic Tree for Host Phenotype Prediction From Metagenomic Data. 456-461 - Pengyue Lin, Wen Yang, Siyuan Xia, Yu Jiang, Xiaoning Liu, Guohua Geng:
CFR-GAN: A Generative Model for Craniofacial Reconstruction. 462-469 - Wodan Ling, Youran Qi, Xing Hua, Michael C. Wu:
Deep ensemble learning over the microbial phylogenetic tree (DeepEn-Phy). 470-477 - Jian Liu, Zhi Qu, Yue Li, Jialiang Sun, Yongzhuang Liu:
Ontology-based annotation and retrieval for large-scale VCF data. 478-483 - Haoran Liu, Mingchao Shang, Huaxiang Zhang, Cheng Liang:
Cancer Subtype Identification based on Multi-view Subspace Clustering with Adaptive Local Structure Learning. 484-490 - Zhilong Lv, Yuexiao Lin, Rui Yan, Zhenghe Yang, Ying Wang, Fa Zhang:
PG-TFNet: Transformer-based Fusion Network Integrating Pathological Images and Genomic Data for Cancer Survival Analysis. 491-496 - Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, Junzhou Huang:
Gradient-Norm Based Attentive Loss for Molecular Property Prediction. 497-502 - Swati Padhee, Kimberly Swygert, Ian Micir:
Exploring Language Patterns in a Medical Licensure Exam Item Bank. 503-508 - Qian Qiao, Ying-Lian Gao, Shasha Yuan, Jin-Xing Liu:
Robust Tensor Method Based on Correntropy and Tensor Singular Value Decomposition for Cancer Genomics Data. 509-514 - Bin Quan, Manli Yang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Li Li, Hang Wei:
Research on the Design of Active Learning Algorithm based on Query-by-Committee for Intelligent Fetal Monitoring. 515-521 - Siyuan Shen, Yurong Qian, Jingjing Zheng, Junyi Liu, Lei Deng:
Accurately Predicting circRNA-disease Associations Using Variational Graph Auto-encoders and LightGBM. 522-527 - Syed Fahad Sultan, Lilianne R. Mujica-Parodi, Steven Skiena:
NeuroPredictome: A Data-Driven Predictome Linking Neuroimaging to Phenotype. 528-535 - Xiaowei Wang, Jungang Han, Ben Li, Xiaoying Pan, Hui Xu:
Automatic ICD-10 Coding Based on Multi-Head Attention Mechanism and Gated Residual Network. 536-543 - Xuehong Wu, Junwen Duan, Jianhua Li, Min Li:
nPTAS: A Novel Platform for Text Annotation and Service. 544-549 - Weiming Xiang, Dong Chen, Yingbo Cui, Shaoliang Peng:
H-VAE: A Hybrid Variational AutoEncoder with Data Augmentation in Predicting CRISPR/Cas9 Off-target. 550-555 - Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao:
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. 556-561 - Yingze Xu, Yan Wang, Xuping Xie, Feilong Wang, Qiong Chen, Huiyan Sun:
An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data. 562-567 - Sisi Yang, Junzhong Ji, Xiaodan Zhang, Ying Liu, Zheng Wang:
Weakly Guided Hierarchical Encoder-Decoder Network for Brain CT Report Generation. 568-573 - Yaning Yang, Xiaoqi Wang, Ying Xu, Chao Yang, Bin Jiang, Shaoliang Peng:
ParaPindel: a scalable coordinated parallel detection framework for human genome-wide structural variation. 574-579 - Xiang Yue, Xinliang Frederick Zhang, Ziyu Yao, Simon M. Lin, Huan Sun:
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering. 580-587 - Shuo Zhang, Xiaoli Lin, Xiaolong Zhang:
Discovering DTI and DDI by Knowledge Graph with MHRW and Improved Neural Network. 588-593 - Yongqing Zhang, Zixuan Wang, Yuhang Liu, Libo Lu, Xiaoyao Tan, Quan Zou:
By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics. 594-599 - Shilong Zhang, Yue Tang, Jing Yan, Linye Li, Tong Li, Jixiang Li, Peilin Xie, Yuanshuai Gu, Jiakang Xu, Zaiwen Feng, Wen Zhang, Jingbo Xia, Wolfgang Mayer, Hong-Yu Zhang, Guang-Cun He, Keqing He:
A Graph-based Approach for Integrating Biological Heterogeneous Data Based on Connecting Ontology. 600-607 - Yu Zhao, Yidan Zhang, Zhi-An Huang, Fan Yang, Lei Duan, Jianhua Yao:
Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics. 608-613 - Yiqing Zhao, Michael G. Ison, Yuan Luo:
COVID Vaccine and Cardiovascular Risks: A Natural Language Analysis of Vaccine Adverse Event Reports. 614-618 - Yao Zhao, Weizhong Zhao, Xingpeng Jiang, Tingting He, Bianping Su:
An improved RL-based framework for multiple biomedical event extraction via self-supervised learning. 619-624 - Qingqing Zhu, Pengfei Wu, Zhouxing Tan, Jiaxin Duan, Dongyan Zhao, Junfei Liu:
Knowledge Distillation with Metric Learning for Medical Dialogue Generation. 625-632 - Qingqing Zhu, Zhouxing Tan, Jiaxin Duan, Pengfei Wu, Dongyan Zhao, Junfei Liu:
Dynamic Curriculum Learning with Co-training for Medical Dialogue Generation. 633-640 - Peizhen Bai, Filip Miljkovic, Yan Ge, Nigel Greene, Bino John, Haiping Lu:
Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction. 641-644 - Chuxue Cao, Yiming He, Yuzhen Chen, Chunli Song, Hao Ling, Renchu Guan, Xiaoyue Feng:
Medical Scene Graphs and Reasoning. 645-648 - Peng Chen, Jian Wang, Hongfei Lin, Yijia Zhang, Zhihao Yang, Di Zhao, Hui Ma:
Co-Attentive Span Network with Multi-task learning for Biomedical Named Entity Recognition. 649-652 - Sandeep Chenna, Jochen H. M. Prehn, Niamh M. C. Connolly:
Phenomenological equations for electron transport chain-mediated reactive oxygen species metabolism. 653-658 - Yongping Du, Jingya Yan, Yiliang Zhao, Yuxuan Lu, Xingnan Jin:
Dual Model Weighting Strategy and Data Augmentation in Biomedical Question Answering. 659-662 - Jinjie Guo, Yiping Wang, Yanfeng Yang, Guixia Kang:
IEEG-TCN: A Concise and Robust Temporal Convolutional Network for Intracranial Electroencephalogram Signal Identification. 668-673 - Xiaosong Han, Xiaoran Li, Yanchun Liang, Xinghao Wang, Dong Xu, Renchu Guan:
Acupuncture and Tuina Knowledge Graph for Ancient Literature of Traditional Chinese Medicine. 674-677 - Bing Hu, Feng Xia, Ruolan Chen, Shuting Jin, Xiangrong Liu:
A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms. 678-681 - Ge Lan, Ye Li, Mengting Hu, Yufei Sun, Yuzhi Zhang:
Knowledge Graph Integrated Graph Neural Networks for Chinese Medical Text Classification. 682-687 - Dylan Lebatteux, Abdoulaye Baniré Diallo:
Combining a genetic algorithm and ensemble method to improve the classification of viruses. 688-693 - Lishuang Li, Fuxiao Zhang:
BGGF: A Gated Information Fusion Model For Biomedical Entity Recognition. 694-697 - Qiming Liu, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jinzhong Ning:
SGAT: a Self-supervised Graph Attention Network for Biomedical Relation Extraction. 698-701 - Xiaoshuang Liu, Xian Xu, Xiao Xu, Xiang Li, Guotong Xie:
Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network. 702-705 - Madhumita, Archit Dwivedi, Sushmita Paul:
Recursive Multi-view Integration for Subtypes Identification of Cervical Cancer. 706-709 - Qiaozhen Meng, Jijun Tang, Fei Guo:
Multi-AMP: detecting the antimicrobial peptides and their activities using the multi-task learning. 710-713 - Shi Peng, Yong Zhang, Zhengyun Wang, Dingkang Gao, Feng Xiong, Haoyang Zuo:
Named Entity Recognition using Negative Sampling and Reinforcement Learning. 714-719 - Bastian Pfeifer, Andrei Voicu-Spineanu, Michael G. Schimek, Nikolaos Alachiotis:
Integrative hierarchical ensemble clustering for improved disease subtype discovery. 720-725 - Raphael Poulain, Mehak Gupta, Randi E. Foraker, Rahmatollah Beheshti:
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease. 726-731 - Hoon Seo, Hua Wang:
Learning Deeply Enriched Representations of Longitudinal Imaging-Genetic Data to Predict Alzheimer's Disease Progression. 732-735 - Chongming Song, Yanrui Xu, Xiaokun Wang, Jiamin Wang, Houbin Huang, Zhihong Zhu, Xiaojuan Ban:
Silicone Oil-Water Interaction and Emulsification Visual Simulation for Intraocular Silicone Oil Tamponade. 736-741 - Oleg Sysoev, Danuta R. Gawel, Sandra Lilja, Samuel Schäfer, Mikael Benson:
Cell type identification for single cell RNA data by bulk data reference projection. 742-746 - Yu Tang, Gang Yang, Dayong Ding, Gangwei Cheng:
Multi-level Amplified Iterative Training of Semi-Supervision Deep Learning For Glaucoma Diagnosis. 747-750 - Evan S. Walsh, H. Troy Ghashghaei, Xinxia Peng:
Feature selection using co-occurrence correlation improves cell clustering and embedding in single cell RNAseq data. 751-756 - Ruoqi Wang, Ziwang Huang, Haitao Wang, Hejun Wu:
AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data. 757-760 - Ruilong Xiang, Lingling Fu, Yue Wang, Han Sun, Xianjun Shen:
A Simplex Hypergraph Clustering Method for Detecting Higher-order Modules in Microbial Network. 761-764 - Akito Yamamoto, Tetsuo Shibuya:
Differentially Private Linkage Analysis with TDT - the case of two affected children per family. 765-770 - Na Yu, Zhi-Ping Liu, Rui Gao:
A Semi-Supervised Learning Algorithm for Predicting MiRNA-Disease Association. 771-774 - Dai-Jun Zhang, Jing-Xiu Zhao, Jin-Xing Liu, Ying-Lian Gao:
Adaptive total-variation joint learning model for analyzing single cell RNA seq data. 775-778 - Honglu Zhang, Yonghui Xu, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui, Chunyan Miao:
Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. 779-784 - Peng Zhang, Shikui Tu:
DeepBSI: a multimodal deep learning framework for predicting the transcription factor binding site and intensity. 785-788 - Bin Zhang, Hongmin Cai:
Multi-Omics Data Clustering via the Guidance of Highly Correlated Features. 789-792 - Haoyang Zhang, Junkang Wei, Zifeng Liu, Xun Liu, Yutian Chong, Yutong Lu, Huiying Zhao, Yuedong Yang:
DGAT-onco: A differential analysis method to detect oncogenes by integrating functional information of mutations. 793-796 - Zhehuan Zhao, Yuying Zou, Yang Tian, Bo Xu, Zhihao Yang, Jian Wang, Hongfei Lin, Shimin Shan, Yu Liu:
TL-BERT: A Novel Biomedical Relation Extraction Approach. 797-800 - Guozhen Hu, Qinjian Zhang, Zhi Yang, Baobin Li:
Accurate Brain Age Prediction Model for Healthy Children and Adolescents using 3D-CNN and Dimensional Attention. 800-806 - Justin Amadeus Albert, Arne Herdick, Clemens Markus Brahms, Urs Granacher, Bert Arnrich:
Using Machine Learning to Predict Perceived Exertion During Resistance Training With Wearable Heart Rate and Movement Sensors. 801-808 - Ying An, Haojia Zhang, Yu Sheng, Jianxin Wang, Xianlai Chen:
MAIN: Multimodal Attention-based Fusion Networks for Diagnosis Prediction. 809-816 - Tian Bai, Shenyao Liu, Yuzhao Wang, Yu Wang, Dong Dong:
Self-Ensembling Semi-Supervised Model for Bone X-ray Images Landmark Detection. 817-822 - Sajida Raz Bhutto, Yifan Wu, Ying Yu, Akhtar Hussain Jalbani, Min Li:
A Hybrid Pooling Based Deep Learning Framework For Automated ICD Coding. 823-828 - Boheng Cao, Shikui Tu, Lei Xu:
Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation. 829-835 - Yu-Jen Chen, Yen-Jung Chang, Shao-Cheng Wen, Xiaowei Xu, Meiping Huang, Haiyun Yuan, Jian Zhuang, Yiyu Shi, Tsung-Yi Ho:
"One-Shot" Reduction of Additive Artifacts in Medical Images. 836-841 - Hua Chen, Juan Liu, Chunbing Hua, Zhiqun Zuo, Jing Feng, Baochuan Pang, Di Xiao:
TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data. 842-847 - Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks. 848-853 - Fucheng Deng, Shikui Tu, Lei Xu:
Multi-source unsupervised domain adaptation for ECG classification. 854-859 - Wenbo Ge, Deborah Apthorp, Christian Lück, Hanna Suominen:
Which Features of Postural Sway are Effective in Distinguishing Parkinson's Disease Patients from Controls? An Experimental Investigation. 860-867 - Yang Guo, Yuanbo He, Shuai Li, Ting Shu, Luying Gao:
Global Correlation and Local Geometric Information Coupled Channel Contrast Learning for Thyroid Nodule Risk Stratification. 868-875 - Yu Han, Honggang Qi, Yan Liu, Zhijun Guo, Qian Xu, Qiang Lin, Haitao Liu, Junying Lu, Fei Liang, Wenqiu Feng, Haiyan Li:
Efficient False Positive Reduction Method for Early Pulmonary Nodules Detection in Physical Examination. 876-881 - Fuchang Han, Shenghui Liao, Chao Xiong, Haitao Wei, Renzhong Wu, Yingqi Zhang:
Explainable Prediction of Whether The Acetabular Cup Is Placed in The "Safe Zone" from X-ray Images. 882-889 - Yonghao Huang, Chuan Zhou, Leiting Chen, Junjing Chen, Shanlin Lan:
Medical Frequency Domain Learning: Consider Inter-class and Intra-class Frequency for Medical Image Segmentation and Classification. 897-904 - Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn:
Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering. 905-912 - Deeptanshu Jha, Samantha R. La Marca, Rahul Singh:
Identifying and Characterizing Opioid Addiction States Using Social Media Posts. 913-918 - Xuecong Jiang, Lulu Wang, Zhongshi He, Jinglong Du:
Learning a Frequency Separation Network with Hybrid Convolution and Adaptive Aggregation for Low-dose CT Denoising. 919-925 - Muhammad Zubair Khan, Yugyung Lee, Arslan Munir, Muazzam Ali Khan:
Multi-Feature Extraction with Ensemble Network for Tracing Chronic Retinal Disorders. 926-932 - Kushal Kodnad, Azade Tabaie, Joshua M. Rosenblum, Rishikesan Kamaleswaran:
Predicting Same Hospital Readmission following Fontan Cavopulmonary Anastomosis using Machine Learning. 933-938 - Hulin Kuang, Yixiong Liang, Ning Liu, Jin Liu, Jianxin Wang:
BEA-SegNet: Body and Edge Aware Network for Medical Image Segmentation. 939-944 - Shanlin Lan, Chuan Zhou, Leiting Chen, Huqiu Fan, Ning Yan, Yonghao Huang:
Automatic Report Generation based on Multi-modal and Multi-view Model for Fundus Images. 945-951 - Chen Li, Xin Luo, Wei Chen, Yulin He, Mingfei Wu, Yusong Tan:
AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization. 952-959 - Zhuang Li, Jingyan Qin, Haiyan Gong, Xiaotong Zhang, Yadong Wan:
Enhancing the generalization of feature construction using genetic programming for imbalanced data with augmented non-overlap degree. 960-965 - Qiang Li, Hong Song, Weiwei Zhang, Jingfan Fan, Danni Ai, Yucong Lin, Jian Yang:
CC-DenseUNet: Densely Connected U-Net with Criss-Cross Attention for Liver and Tumor Segmentation in CT Volumes. 966-971 - Yan Li, Shasha Liu, Chunwei Wu, Xidong Xi, Guitao Cao, Wenming Cao:
DCFG: Discovering Directional CounterFactual Generation for Chest X-rays. 972-979 - Xijie Lin, Yuan Li, Yonghui Xu, Wei Guo, Wei He, Honglu Zhang, Lizhen Cui, Chunyan Miao:
Personalized Clinical Pathway Recommendation via Attention Based Pre-training. 980-987 - Senlin Lin, Xuekun Song, Ziheng Xu, Xinyue Zhang, Yingqing Lin, Rui Zhang, Yulong Chen, Fa Zhang, Dehui Qiu, Yuling Zheng, Xiaohua Wan:
Moment Invariants with Data Augmentation for Tongue Image Segmentation. 988-993 - Keling Liu, Wenting Wu, Qiaozhen Zhang, Kun Cai, Le Zhang:
Developing a Visual Analysis Platform of Human Rabies for Hubei Province of China (VAP-HRHB). 994-1001 - Jin Liu, Xu Tian, Jianxin Wang, Rui Guo, Hulin Kuang:
MTFIL-Net: automated Alzheimer's disease detection and MMSE score prediction based on feature interactive learning. 1002-1007 - Jiatong Liu, Changbin Pan, Dongdong Chen, Weiping Lin, Shangyuan Feng, Sufang Qiu, Beizhan Wang, KunHong Liu:
FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening. 1008-1013 - Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo:
MIASNet: A medical image segmentation method predicting future based on past and current cases. 1014-1019 - Shiqiang Ma, Xuejian Li, Zehua Zhang, Jijun Tang, Fei Guo:
GEU-Net: Rethinking the information transmission in the skip connection of U-Net architecture. 1020-1025 - Rui Ma, Shikui Tu, Peiying Li, Jiafeng Zhou, Bing Zhao, Jieqing Wan, Lei Xu:
Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation. 1026-1031 - Liangrui Pan, Peng Zhang, Fei Xia, Boya Ji, Wenjuan Liu, Hetian Wang, Yuan Jin, Mitchai Chongcheawchamnan, Shaoliang Peng:
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. 1032-1036 - Tao Peng, Jing Zhao, Jing Wang:
Interpretable Mathematical Model-guided Ultrasound Prostate Contour Extraction Using Data Mining Techniques. 1037-1044 - Yurong Qian, Qihua He, Lei Deng:
iPiDA-GBNN: Identification of Piwi-interacting RNA-disease associations based on gradient boosting neural network. 1045-1050 - Hongyan Quan, Jiashun Dong, Xiaoxiao Qian:
Med-3D: 3D Reconstruction of Medical Images based on Structure-from-Motion via Transfer Learning. 1051-1056 - Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen:
CT Image Harmonization for Enhancing Radiomics Studies. 1057-1062 - Guihua Tao, Haojiang Li, Lizhi Liu, Hongmin Cai:
Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images. 1063-1068 - Juan Trelles Trabucco, Pengyuan Li, Cecilia N. Arighi, Daniela Raciti, Hagit Shatkay, G. Elisabeta Marai:
ANIMO: Annotation of Biomed Image Modalities. 1069-1076 - Vedant Vajre, Mitchell Naylor, Uday Kamath, Amarda Shehu:
PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis. 1077-1082 - Haorui Wang, Shahanavaj Khan, Shichao Liu, Fang Zheng, Wen Zhang:
Predicting Drug-miRNA Resistance with Layer Attention Graph Convolution Network and Multi Channel Feature Extraction. 1083-1089 - Nana Wang, Chunjie Luo, Yunyou Huang, Jianfeng Zhan:
Ensemble Clustering-based Cervical Spondylosis Fine-classification. 1090-1097 - Xuyun Wen, Daoqiang Zhang:
A Multi-Layer Random Walk Method for Local Dynamic Community Detection in Brain Functional Network. 1098-1103 - Yingpei Wu, Zecheng Yin, Kaiyuan Zhou, Ruofei Wang, Yun Yang, Zepeng Yin, Chunyang Ruan, Yanchun Zhang:
A Hybrid-scales Graph Contrastive learning Framework for Discovering Regularities in Traditional Chinese Medicine Formula. 1104-1111 - Feng Xiao, Cong Shen, Yu Chen, Tian Yang, Shengyong Chen, Zhijun Liao, Jijun Tang:
RCGA-Net: An Improved Multi-hybrid Attention Mechanism Network in Biomedical Image Segmentation. 1112-1118 - Fei Xu, Lingli Lin, Dihan Li, Qingqi Hong, KunHong Liu, Qingqiang Wu, Qingde Li, Yinhuan Zheng, Jie Tian:
A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation. 1119-1124 - Lei Xu, Jianhong Cheng, Jin Liu, Hulin Kuang, Fan Wu, Jianxin Wang:
ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention. 1125-1130 - Wutao Yin, Longhai Li, Fang-Xiang Wu:
A Graph Attention Neural Network for Diagnosing ASD with fMRI Data. 1131-1136 - Shuaiying Yuan, Ziyang He, Jianhui Zhao, Zhiyong Yuan:
Low-Dimensional Depth Local Dual-View Features Embedded Transformer for Electrocardiogram Signal Quality Assessment. 1137-1144 - Xinlu Zhang, Shiyang Liy, Zhuowei Cheng, Rachael Callcut, Linda R. Petzold:
Domain Adaptation for Trauma Mortality Prediction in EHRs with Feature Disparity. 1145-1152 - Shilin Zhang, Bin Hu, Ji Bian, Mingzhe Zhang, Xiangwei Zheng:
A Novel Emotion Recognition Method Incorporating MST-based Brain Network and FVMD-GAMPE. 1153-1158 - Xin Zhang, Yipeng Hao, Jin Zhang, Shihong Zou, Songyun Xie, Lei Du:
Improved Multi-task SCCA for Brain Imaging Genetics via Joint Consideration of the Diagnosis, Parameter Decomposition and Network Constraints. 1159-1164 - Wenjing Zhang, Yuting Tan, Fang-Xiang Wu:
Single Cell Clustering with Sparse Similarity Matrix Learning. 1165-1170 - Nan Zhang, Junlin Hou, Rui-Wei Zhao, Rui Feng, Yuejie Zhang:
Semi-supervised Medical Image Segmentation with Distribution Calibration and Non-local Semantic Constraint. 1171-1178 - Chi Zhang, Hongjia Li, Xiaohua Wan, Xuemei Chen, Zhenghe Yang, Jieqing Feng, Fa Zhang:
TransPicker: a Transformer-based Framework for Particle Picking in cryoEM Micrographs. 1179-1184 - Xiongjun Zhao, Yingjie Cheng, Weiming Xiang, Xiang Wang, Lin Han, Jiandong Shang, Shaoliang Peng:
A Knowledge-aware Machine Reading Comprehension Framework for Dialogue Symptom Diagnosis. 1185-1190 - Cecheng Zhao, Ziyang Huang, Hui Wang, Haitao Fu, Dong Wang, Yingjie Gao, Haotian Zhu, Xiaohui Niu, Wen Zhang:
A robust drug representation learning model for eliminating cell specificity in gene expression profile and its application. 1191-1196 - Weizhong Zhao, Huyen Le, James J. Chen, Hesha J. Duggirala, Richard Forshee, Taxiarchis Botsis, Henry Francis, Huixiao Hong, Weida Tong, Yi-Ting Hwang, Wen Zou:
Discovering Drug-Drug Associations in the FDA Adverse Event Reporting System Database with Data Mining Approaches. 1197-1204 - Yuan Zhou, Hemant D. Tagare:
Self-normalized Classification of Parkinson's Disease DaTscan Images. 1205-1212 - Fu Zhou, Fei Luo, Kafui Efio-Akolly, Ronald Bbosa, Wen Cai Huang, Jia Ni Zou, Yi-Ping Phoebe Chen, Feng Liu:
HAUNet-3D: a Novel Hierarchical Attention 3D UNet for Lung Nodule Segmentation. 1213-1220 - Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen:
Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. 1221-1226 - Wenxuan Zou, Xingqun Qi, Zhuojie Wu, Zijian Wang, Muyi Sun, Caifeng Shan:
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation. 1227-1234 - Ying Zou, Shannan Chen, Qiule Sun, Bin Liu, Jianxin Zhang:
DCET-Net: Dual-Stream Convolution Expanded Transformer for Breast Cancer Histopathological Image Classification. 1235-1240 - Zohair Ahmed, Junwen Duan, Fang-Xiang Wu, Jianxin Wang:
EFCA: An Extended Formal Concept Analysis Method for Aspect Extraction in Healthcare Informatics. 1241-1244 - Amal N. Almansour, Jacob Furst, Daniela Raicu, Enid Montague:
Approaches to Evaluating Eye Gaze Patterns between Physician-Patient Interaction in Primary Care Clinic. 1245-1250 - Carlos Arias-Alcaide, Cristina Soguero-Ruíz, Paloma Santos-Alvarez, Adrián García-Romero, Inmaculada Mora-Jiménez:
Mapping Health Trajectories on Self Organizing Maps using COVID-19 Patient's Blood Tests. 1251-1256 - Kristina Belikova, Aleksandra Zailer, Svetlana V. Tekucheva, Sergey N. Ermoljev, Dmitry V. Dylov:
Deep Learning for Spatio-Temporal Localization of Temporomandibular Joint in Ultrasound Videos. 1257-1261 - Xiyang Cai, Ziyu Jia, Zehui Jiao:
Two-Stream Squeeze-and-Excitation Network for Multi-modal Sleep Staging. 1262-1265 - Zihan Cao, Xinwu Sun, Shasha Liu, Gangyuan Chen, Yan Liu, Xinggang Liu, Dongxiang Zheng, Ling Wang:
Analysis on Teeth Occlusion Distribution Based on Segmentation and Registration Algorithm. 1266-1269 - Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane:
Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. 1270-1275 - Xianhui Chen, Ying Chen, Wenjun Ma, Xiaomao Fan, Ye Li:
SE-MSCNN: A Lightweight Multi-scaled Fusion Network for Sleep Apnea Detection Using Single-Lead ECG Signals. 1276-1280 - Hisham G. Daoud, Magdy A. Bayoumi:
Generative Adversarial Network Based Semi-supervised Learning for Epileptic Focus Localization. 1281-1285 - Chufu Deng, Zhiguang Chen, Ruixuan Wang, Wanqi Su, Yili Qu:
Modality-shared MRI Image Translation Based on Conditional GAN. 1286-1290 - Biao Duan, Lei Qin, Jing Peng:
Using Center Vector and Drug Molecular Information for Drug Drug Interaction Extraction. 1291-1294 - Ruiwei Feng, Yufeng Xie, Minshan Lai, Danny Z. Chen, Ji Cao, Jian Wu:
AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks. 1295-1298 - Xianbing Feng, Jingwei Qu, Tianle Wang, Bei Wang, Xiaoqing Lyu, Zhi Tang:
Attention-enhanced Graph Cross-convolution for Protein-Ligand Binding Affinity Prediction. 1299-1302 - Yue Gao, Xiangling Fu, Xien Liu, Kaiyin Zhou, Ji Wu:
SMP-Graph: Structure-Enhanced Unsupervised Semantic Graph Representation for Precise Medical Procedure Coding on EMRs. 1303-1308 - Sachin Gavali, Chuming Chen, Julie Cowart, Xi Peng, Shanshan Ding, Cathy H. Wu, Tammy Anderson:
Understanding the factors related to the opioid epidemic using machine learning. 1309-1314 - Sean Grimes, Mark D. Zarella, Fernando U. Garcia, David E. Breen:
An agent-based approach to predicting lymph node metastasis status in breast cancer. 1315-1319 - Yu Gu, Xiang Zhang, Huan Yan, Zhi Liu, Yusheng Ji:
Real-time Vital Signs Monitoring Based on COTS WiFi Devices. 1320-1324 - Ping Gu, Song Yang, Qiang Li, Jiangxing Wang:
Disease Correlation Enhanced Attention Network for ICD Coding. 1325-1330 - Jiabo He, Wei Liu, Yu Wang, Xingjun Ma, Xian-Sheng Hua:
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae. 1331-1334 - Zhuobin Huang, Tingting Dan, Yi Lin, Jiazhou Chen, Hongmin Cai, Guorong Wu:
Detecting Brain State Changes via Manifold Mean Shifting. 1335-1338 - Hajin Jeon, Jeongmin Bae, Min-Soo Kim:
A Web-based Method for Designing and Validating Primer-probe Sets for SARS-CoV-2. 1339-1342 - Wei Ji, Weiwei Tian, Wenbin Pan, Siqi Sun, Hui Jiang, Rui Feng, Yuejie Zhang, Rui-Wei Zhao, Gang Jin:
CellDet: Dual-Task Cell Detection Network for IHC-Stained Image Analysis. 1343-1346 - Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Suzanne V. Blackley, Yangyong Zhu, Chunlei Tang:
Radiology Report Generation for Rare Diseases via Few-shot Transformer. 1347-1352 - Wei-Bang Jiang, Li-Ming Zhao, Ping Guo, Bao-Liang Lu:
Discriminating Surprise and Anger from EEG and Eye Movements with a Graph Network. 1353-1357 - Xuehan Jiang, Rui Tang, Xingzhi Sun, Gang Hu, Guotong Xie:
Inpatinets' FWA Detection: Mismatch between the Clinical Path and Medical Condition. 1358-1363 - Prabhakara Subramanya Jois, Aniketh Manjunath, Thomas Fevens:
Boosting Segmentation Performance across Datasets using Histogram Specification with Application to Pelvic Bone Segmentation. 1364-1369 - Tanjida Kabir, Chun-Teh Lee, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Luyao Chen, Muhammad F. Walji, Xioaqian Jiang, Shayan Shams:
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images. 1370-1375 - Muhammad Zubair Khan, Yugyung Lee, Arslan Munir, Muazzam Ali Khan:
Detecting Chronic Vascular Damage with Attention-Guided Neural System. 1376-1380 - Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen:
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. 1381-1384 - Qiran Kong, Yirui Wu, Chi Yuan, Yongli Wang:
CT-CAD: Context-Aware Transformers for End-to-End Chest Abnormality Detection on X-Rays. 1385-1388 - Jonathan Koss, Christine DeLorenzo, Hemant D. Tagare:
Hierarchical MAP Denoising of Longitudinal Hamilton Depression Rating Scores. 1389-1394 - Nguyen Duy Thong Tran, Carson K. Leung, Daryl L. X. Fung, Thanh Huy Daniel Mai:
Health Analytics on Big COVID-19 Data. 1395 - Hansheng Li, Yuxin Kang, Lingyu Hu, Qian Ma, Lei Cui, Jun Feng, Lin Yang, Wentao Yang:
Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues. 1396-1401 - Shaojie Li, Yifan Zhang, Xuan Yang:
Semi-supervised Cardiac MRI Segmentation Based on Generative Adversarial Network and Variational Auto-Encoder. 1402-1405 - Chen Li, Wei Chen, Mingfei Wu, Xin Luo, Yulin He, Yusong Tan:
Tri-Directional Tasks Complementary Learning for Unsupervised Domain Adaptation of Cross-modality Medical Image Semantic Segmentation. 1406-1411 - Haifeng Liu, Hongfei Lin, Chen Shen, Zhihao Yang, Jian Wang, Liang Yang:
Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation. 1412-1417 - Shasha Liu, Yan Li, Xiaohu Li, Guitao Cao:
Shape-aware Multi-task Learning for Semi-supervised 3D Medical Image Segmentation. 1418-1423 - Yun Luo, Bao-Liang Lu:
Wasserstein-Distance-Based Multi-Source Adversarial Domain Adaptation for Emotion Recognition and Vigilance Estimation. 1424-1428 - Tao Luo, Tong Xu, Jian Yu, Xuewei Li, Xi Wei, Mei Yu, Ruixuan Zhang, Jie Gao, Ruiguo Yu:
Border Sensitive Network in Weakly Supervised Thyroid Nodule Detection for Ultrasound Image. 1429-1432 - Shujie Luo, Haifang Wu, Weizhong Zhao, Xingpeng Jiang, Tingting He:
Triple-view Learning for Predicting Antibiotic Resistance Genes. 1433-1436 - Giulia Maria Mattia, Edouard Villain, Federico Nemmi, Olivier Rascol, Wassilios G. Meissner, Xavier Franceries, Patrice Péran:
Neurodegenerative Traits Detected via 3D CNNs Trained with Simulated Brain MRI: Prediction Supported by Visualization of Discriminant Voxels. 1437-1442 - Georgios Mavroudeas, Nafis Neehal, Xiao Shou, Malik Magdon-Ismail, Jason Nicholas Kuruzovich, Kristin P. Bennett:
Predictive Modeling for Complex Care Management. 1443-1448 - Jamie McQuire, Paul Watson, Nick Wright, Hugo Hiden, Michael Catt:
Uneven and Irregular Surface Condition Prediction from Human Walking Data using both Centralized and Decentralized Machine Learning Approaches. 1449-1452 - Sally Mostafa, Isabel Hyo Jung Song, Ahmed A. Metwally, Nicolas Strauli, Nehemiah Sewde, Michel Friesenhahn, Maxime Usdin, Xiaoming Jia:
Predicting upper limb disability progression in primary progressive multiple sclerosis using machine learning and statistical methods. 1453-1457 - Haodong Nie, Shikui Tu, Lei Xu:
RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction. 1458-1461 - Yang Ning, Shouyi Zhang, Xiaoming Xi, Jie Guo, Peide Liu, Caiming Zhang:
CAC-EMVT: Efficient Coronary Artery Calcium Segmentation with Multi-scale Vision Transformers. 1462-1467 - Run Ning, C. L. Philip Chen, Tong Zhang:
Cross-Subject EEG Emotion Recognition Using Domain Adaptive Few-Shot Learning Networks. 1468-1472 - Shuai Niu, Yunya Song, Qing Yin, Yike Guo, Xian Yang:
Label-dependent and event-guided interpretable disease risk prediction using EHRs. 1473-1476 - Baolian Qi, Gangming Zhao, Xin Wei, Chaowei Fang, Zhiqiang Chen, Jinpeng Li:
Weakly Supervised Disease Localization in Chest X-rays via Looking into Image Relations. 1477-1480 - Zhongfei Qing, Yan Liu, Ji He, Chenxu Hao, Shenghua Teng, Shuo Zhang, Dongsheng Fan:
Wavelet-based Multi-branch Convolutional Neural Network for Cross-individual ALS Disease Identification with EMG Signal. 1481-1484 - Nuerzati Resuli, Marjorie Skubic, Jung Myungki:
Noninvasive Respiration Monitoring of Different Sleeping Postures Using an RF Sensor. 1485-1490 - Sofia Romagnoli, Agnese Sbrollini, Alessio Scalese, Ilaria Marcantoni, Micaela Morettini, Laura Burattini:
Signal Processing for Athletic Cardiovascular Monitoring with Wearable Sensors: Fully Automatic Detection of Training Phases from Heart Rate Data. 1491-1494 - Satyaki Roy, Pratyay Dutta, Preetam Ghosh:
Generalizable multi-vaccine distribution strategy based on demographic and behavioral heterogeneity. 1495-1498 - Payton Schubel, Zhiyuan Chen, Adina Crainiceanu, Karuna P. Joshi, Don Needham:
A Semantic Framework for Secure and Efficient Contact Tracing of Infectious Diseases. 1499-1502 - Yongxue Shan, Zhaoqian Zhong, Chao Che, Bo Jin, Xiaopeng Wei:
Aspect-Level Sentiment Classification of Chinese Patient Comments Based on Pre-trained Sentiment Embedding. 1503-1508 - Yiqing Shen, Yizhou Lu, Yulin Luo, Jing Ke:
Cluster Image Patches with Multiple Mutual Information in Unlabelled Whole-Slide Image. 1509-1512 - Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Jianwei Lu, Ye Luo:
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning. 1513-1518 - Vishal Shenoy, Suleman I. Khan, Edmund Lee, Oliver O. Aalami:
Vascular1: Development and Evaluation of a Virtual Reality Ultrasound Guided Vascular Access Training Module. 1519-1523 - Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Henry J. Iwinski, Coleman Hilton, J. Michael Wattenbarger, May D. Wang:
A FHIR-compliant Application for Multi-Site and Multi-Modality Pediatric Scoliosis Patient Rehabilitation. 1524-1527 - Jun Shi, Huite Yi, Shulan Ruan, Zhaohui Wang, Xiaoyu Hao, Hong An, Wei Wei:
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images. 1528-1533 - Xian Tan, Minghang Zou, Di Wu, Jingbo Zhang, Pingping Sun, Zhiqiang Ma:
A Novel Approach for LncRNA Function Prediction Based on Deep Learning. 1534-1537 - Ximan Tang, Chuan Zhou, Leiting Chen, Yang Wen:
Enhancing Medical Image Classification via Augmentation-based Pre-training. 1538-1541 - Luyao Wang, Xiaoyan Wang, Bangze Zhang, Xiaojie Huang, Cong Bai, Ming Xia, Peiliang Sun:
Multi-scale Hierarchical Transformer structure for 3D medical image segmentation. 1542-1545 - Hairui Wang, Helin Huang, Xiaomei Wu:
Improved classification and grading of interferents in serum specimens using machine learning. 1546-1551 - Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao:
InterHG: an Interpretable and Accurate Model for Hypothesis Generation. 1552-1557 - Yingheng Wang, Yaosen Min, Erzhuo Shao, Ji Wu:
Molecular Graph Contrastive Learning with Parameterized Explainable Augmentations. 1558-1563 - Yi Wang, Zhongyue Zhang, Hua Chai, Yuedong Yang:
Multi-omics Cancer Prognosis Analysis Based on Graph Convolution Network. 1564-1568 - Xiaosu Wang, Yun Xiong, Hao Niu, Yao Zhang, Yangyong Zhu:
C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation. 1569-1574 - Yiting Wang, Wei-Bang Jiang, Rui Li, Bao-Liang Lu:
Emotion Transformer Fusion: Complementary Representation Properties of EEG and Eye Movements on Recognizing Anger and Surprise. 1575-1578 - Zhuojie Wu, Zijian Wang, Wenxuan Zou, Fan Ji, Hao Dang, Wanting Zhou, Muyi Sun:
PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation. 1579-1584 - Tong Wu, Yue Wang, Yunlong Wang, Emily Zhao, Gao Wang:
OA-MedSQL: Order-Aware Medical Sequence Learning for Clinical Outcome Prediction. 1585-1589 - Xiang Liu, Xiuli Pu, Yunyu Shi, Jialin Song:
A Novel Method to Denoise CEUS Image Combining Bidirectional ConvLSTM with 3D DnCNN. 1590-1594 - Weijin Xu, Huihua Yang, Mingying Zhang, Xipeng Pan, Wentao Liu, Songlin Yan:
DECNet: A Dual-stream Edge Complementary Network for Retinal Vessel Segmentation. 1595-1600 - Shuying Xu, Hongyan Quan:
ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation. 1601-1604 - Melissa Y. Yan, Lise Husby Høvik, André Pedersen, Lise Tuset Gustad, Øystein Nytrø:
Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events. 1605-1610 - Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Xiang Lin, Qi Zhang:
Variational Synthesis Network for Generating Micro Computed Tomography from Cone Beam Computed Tomography. 1611-1614 - Mei Yu, Ming Han, Xuewei Li, Xi Wei, Jialin Zhu, Han Jiang, Zhiqiang Liu, Ruixuan Zhang, Ruiguo Yu:
SSE: Scale-adaptive Soft Erase Weakly Supervised Segmentation Network for Thyroid Ultrasound Images. 1615-1618 - Xiang Zhang, Xuanya Li, Kai Hu, Xieping Gao:
BGRA-Net: Boundary-Guided and Region-Aware Convolutional Neural Network for the Segmentation of Breast Ultrasound Images. 1619-1622 - Xinyi Zhang, Shuang Qiu, Minghao Geng, Huiguang He:
Enhancing Detection of SSVEPs for High-Speed Brain-Computer Interface with a Siamese Architecture. 1623-1627 - Fa Zheng, Bin Hu, Shilin Zhang, Yalin Li, Xiangwei Zheng:
EEG Emotion Recognition based on Hierarchy Graph Convolution Network. 1628-1632 - Qianwei Zhou, Yibo Liu, Haigen Hu, Qiu Guan, Yuan Guo, Fan Zhang:
Unsupervised Multimodal MR Images Synthesizer Using Knowledge From Higher Dimension. 1633-1636 - Bochao Zou, Yingxue Wang, Rui Liu, Xiang-wen Lyu, Lei Feng, Huimin Ma:
Effect of Depression Severity on Emotion Context Insensitivity Revealed by Facial Activities Analysis. 1637-1640 - Zahraa Alsafwani, Kathryn Cooper:
An Brief Examination of Case Studies in Reproducibility for Bioinformatics Training. 1641-1642 - Riley Brenner, Kurtis Bertauche, Alexander Choi, So Young Ryu:
VA-PRT: A Visualization Tool for Analyzing Post-translational Modification Retention Times. 1643-1645 - Eun-A. Choi, Jiwon Kim, Guemkyung Nah, Woojin Kim, Kwangha Yoo, Young-Youl Kim, Dankyu Yoon:
Prediction of COPD severity based on clinical data using Machine Learning. 1646-1648 - Voula C. Georgopoulos:
Fuzzy Cognitive Map Decision Support for Aging in Place for the Elderly. 1649-1651 - Ye-Eun Han, Nak-Hyeon Choi, Mi Jin Cho, Min Gu Kang, Young-Youl Kim:
Long-term PM2.5 Exposure, Genome-wide DNA Methylation and Lung Function in Korean Adults. 1652-1654 - Taekgeun Jung, Hong Seo Ryoo:
Analysis of Brain fMRI Data via Topological Data Clustering Method IoPS. 1655-1657 - Dongwoo Kang, Sunyoung Kim, Yoonsik Jung, Hong Seo Ryoo:
Generating Interpretable Patterns for Biomedical Image Classification. 1658-1660 - Sunung Kim, Sangkyun Noh, Hong Seo Ryoo:
Identifying Combinatorial Significance for Classification of Alzheimer's Disease Proteomics Expression with Logical Analysis of Data. 1661-1663 - Sachi Lele, Kathryn Cooper:
Pilot Research on Improving Consumer Health Literacy in Food Labels by Measuring the Prevalence & Occurrence of Similar Ingredients. 1664-1666 - Dayan Liu, Xun Wang, Zhenzhen Du, Jiali Liu, Yue Zhong, Qingyu Tian:
The binding affinity prediction of PI3K / Akt / mTOR signaling pathway proteins with drugs based on deep learning method. 1667-1672 - Geumkyung Nah, Eun-A. Choi, Jiwon Kim, Woojin Kim, Kwangha Yoo, Young-Youl Kim, Dankyu Yoon:
Gene expression analysis of known COPD loci revealed its varied levels by disease severity. 1673-1675 - Sara A. Nasrat, Uichin Lee, M. Sami Zitouni, Ahsan H. Khandoker, Soowon Kang, Herbert F. Jelinek:
Emotion Recognition in the Wild from Long-term Heart Rate Recording using Wearable Sensor and Deep Learning Ensemble Classification. 1676-1678 - Thomas Olson, Irena Vodenska, Guanglan Zhang, Marislei Nishijima, Lou Chitkushev:
Examining Mental Illness Trends in the United States From 2006 to 2019. 1679-1681 - Nisha Puthiyedth, Nuoyi Zhang, Ziqing Wang, Yan Yan:
Performance Comparison of LASSO Variants with Genome-Wide Association Studies (GWAS). 1682-1684 - Jingwei Qu, Bei Wang, Zhixun Li, Xiaoqing Lyu, Zhi Tang:
Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph. 1685-1687 - Wen-Tse Yang, Dong-Chi Wu, Jen-Feng Liu, Jin-Bon Hong, June-Tai Wu, Pei-Lung Chen, Chien-Yu Chen:
Evaluation of using WGS/WES to characterize ACMG actionable genes in genetic testing reports. 1691-1693 - Junping Zhan, Mengyang Ma, Huilian Wang, Xiyun Miao, Qingliang Meng, Guang Zheng:
BuYang-HuanWu-Tang Alleviates Rheumatoid Arthritis' Hypoxia via BNIP3 and PI3K/ATK. 1694-1696 - Xinpeng Zhang, Liangcai Gao, Li Li, Zuoyu Yan, Lu Yu:
An Infantile Hemangioma Dataset IH-2021 and a Deep Learning based Recognition Method on it. 1697-1699 - Guang Zheng, Xiaohu Lu, Yarong Shi, Junnan Chen, Yajie Gao, Hongtao Guo:
Protein Sequence Similarities between the Homo Sapiens and Mammal Specie. 1700-1702 - Khandaker Mamun Ahmed, Taban Eslami, Fahad Saeed, M. Hadi Amini:
DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images. 1703-1710 - Akhil Ambekar, Carolin Poschen, Chih Lai, Stefan Scholz, Elisabet Teixidó:
Analyzing Morphological Changes in Zebrafish Embryos Exposed to Toxic Chemicals. 1711-1718 - Sauman Das:
Automated Bias Reduction in Deep Learning Based Melanoma Diagnosis using a Semi-Supervised Algorithm. 1719-1726 - João Ferreira, Carlos Costa:
Web Platform for Medical Deep Learning Services. 1727-1732 - Eloy Geenjaar, Tonya White, Vince D. Calhoun:
Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures. 1733-1740 - Yueyao Huang, Shuo Huang, Han Wang, Mingtian Wei, Jingling Wang, Haixian Zhang, Ziqiang Wang, Zhang Yi:
A prior-based method for colorectal lymph node region classification via deep neural network. 1741-1748 - Yuxin Kang, Hansheng Li, Zhuoyue Wu, Feihong Liu, Dongqing Hu, Lei Cui, Jun Feng, Lin Yang:
Boosting Boundary Representation for Gland Instance Segmentation. 1749-1756 - Linpeng Lv, Futong He, Jiahui Zhang, Liling Mao, Jingchuan Fan, Guoqiang Xiao, Xiaoqin Tang:
Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images. 1757-1764 - Mohammad Hamed Mozaffari, Won-Sook Lee:
Dilated Convolutional Neural Network for Tongue Segmentation in Real-time Ultrasound Video Data. 1765-1772 - Zhen Pan, Shuo Huang, Han Wang, Mingtian Wei, Junjie Cui, Ziqiang Wang, Haixian Zhang:
Multi-context 3D Resnet for Small-size False Positive Reduction in Pelvic Lymph Node Detection. 1773-1780 - Yao Song, Jun Liu, Zikang Zhao, Junji Wang:
Predict the Caenorhabditis elegans Life Stage through Hybrid Deep Neural Network. 1781-1785 - Isabella Medeiros de Sousa, Marcela de Oliveira, Paulo Noronha Lisboa-Filho, Jaime dos Santos Cardoso:
Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI. 1786-1790 - Martim Quintas E. Sousa, João Pedrosa, Joana Rocha, Sofia Cardoso Pereira, Ana Maria Mendonça, Aurélio Campilho:
Chest Radiography Few-Shot Image Synthesis for Automated Pathology Screening Applications. 1791-1798 - Davidson Lucas De Souza, Alessandra Martins Coelho, Joaquim Cezar Felipe, Matheus de Freitas Oliveira Baffa:
Brain Tumor Classification on Multi-Modality MRI Using Radiomic Features. 1799-1804 - Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Licong Cui:
Leveraging non-lattice subgraphs for suggestion of new concepts for SNOMED CT. 1805-1812 - Rebecca Z. Lin, Muhammad Tuan Amith, Xinyuan Zhang, Cynthia Wang, Jeremy Light, John Strickley, Cui Tao:
Developing Ontologies to Standardize Descriptions of Visual and Dermoscopic Elements. 1813-1817 - Patricia Ngantcha, Muhammad Tuan Amith, Kirk Roberts, John A. Valenza, Muhammad F. Walji, Cui Tao:
Dental EHR-infused Persona Ontologies to Enrich Dental Dialogue Interaction of Agents. 1818-1825 - Luke T. Slater, John A. Williams, Paul N. Schofield, Georgios V. Gkoutos:
Exploring Sentiment as a Potential Indicator of Bias in Disease Ontologies. 1826-1834 - Xiaowei Gao, Xiaogang Liu, Xiaoke Ma:
Multi-view Clustering for the Integration Analysis of Gene Expression and Methylation Data. 1835-1840 - Sahiti Labhishetty, Ismini Lourentzou, Michael Jeffrey Volk, Shekhar Mishra, Huimin Zhao, Chengxiang Zhai:
TriGORank: A Gene Ontology Enriched Learning-to-Rank Framework for Trigenic Fitness Prediction. 1841-1848 - Zepeng Li, Yufeng Zhang, Rikui Huang, Zhenwen Zhang, Jianghong Zhu, Zhihua Guo, Bin Hu:
Construction of Depression Knowledge Graph Based on Biomedical Literature. 1849-1855 - Yue Liu, Shizheng Qiu, Yang Hu, Yadong Wang:
Differentially Expressed Mutant Genes Reveal Potential Prognostic Markers For Lung Adenocarcinoma. 1856-1864 - Shuhui Liu, Yupei Zhang, Jiajie Peng, Xuequn Shang:
DCAE: Selecting Discriminative Genes on Single-cell RNA-seq Data for Cell-type Quantification. 1865-1872 - Yunjie Liu, Yaozhong Zhang, Seiya Imoto:
Discovering microbe functionality in human disease with a gene-ontology-aware model. 1873-1880 - Jingjie Qian, Weiyue Ding, Yue Jiang, Li Xu:
Meta-Analysis of irAEs between Dose of CTLA-4 and PD-1 Inhibitors. 1881-1885 - Fei Song, Xiaogang Liu, Xiaoke Ma:
Transfer Learning for Gene Ranking across Cancers. 1886-1891 - Tao Wang, Zhiyuan Shao, Yifu Xiao, Xuchao Zhang, Yitian Chen, Binze Shi, Siyu Chen, Yuxian Wang, Jiajie Peng, Xuequn Shang:
Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations. 1892-1898 - Yining Xu, Liyuan Zhang, Xinran Cui, Tianyi Zhao, Yadong Wang:
Novel Multikernel Trick for Predicting Pan-CancerDistant Metastatic Sites Using a Feature Extraction Strategy. 1899-1905 - Melissa Y. Yan, Lise Husby Høvik, Lise Tuset Gustad, Øystein Nytrø:
Understanding and Reasoning About Early Signs of Sepsis: From Annotation Guideline to Ontology. 1906-1911 - Zhendong Zhang, Yongzhuang Liu, Gaoyang Li, Yadong Wang:
PocaCNV: A Tool to Detect Copy Number Variants from Population-Scale Genome Sequencing Data. 1912-1918 - Ningyi Zhang, Tianyi Zang:
prePathCluster: An novel deep-learning based method for endocrine disease pathway analysis. 1919-1926 - Limin Zhao, Xiang Li, Hao Pan, Zhongyu Wei:
Automatic detection of infectious diarrhea based on electronic medical records. 1927-1932 - Yibo Feng, Jing Liu, Huan Zhang, Dawei Qiu:
Automated grading of knee osteoarthritis X-ray images based on attention mechanism. 1927-1932 - Elvismary Molina de Armas, Nicole de Miranda Scherer, Sérgio Lifschitz, Mariana Boroni:
Genome variant calling workflow implementation and deployment in HPC infrastructure. 1933-1940 - Vojtech Barton, Markéta Nykrýnová, Helena Skutková:
MANASIG: Python Package to Manipulate Nanopore Signals From Sequencing Files. 1941-1947 - William Gasper, Kathryn M. Cooper, Nathan Cornelius, Hesham Ali:
Parallel Planar Approximation for Large Networks. 1948-1955 - Yu Liu, Mingxuan Gao, Lixuan Tan, Hongjin Liu, Yating Lin, Wenxian Yang, Rongshan Yu:
scSparkXMBD: High-Performance scRNA-seq Data Processing with Spark. 1956-1962 - Mohammad Mahbubur Rahman Khan Mamun:
Assessment of Potential Primary and Recurrent Ischemic Stroke by Detecting Atrial Fibrillation using 1D-CNN and CHA2DS2-VA Score. 1963-1968 - Marketa Nykrynova, Vojtech Barton, Martin Vítek, Matej Bezdicek, Martina Lengerova, Helena Skutkova:
Raw nanopore squiggle alignment for bacterial typing distinction enhancement. 1969-1974 - Matheus Sobrinho, Michel J. F. Rosa, Waldeyr M. C. Silva, Aletéia Patrícia Favacho de Araújo:
Resource Prediction Service for Efficient Execution of Bioinformatics Workflows in Federated Cloud with Machine Learning. 1975-1983 - Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji:
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. 1984-1991 - Mathialakan Thavappiragasam, Vivek Kale, Oscar R. Hernandez, Ada Sedova:
Addressing Load Imbalance in Bioinformatics and Biomedical Applications: Efficient Scheduling across Multiple GPUs. 1992-1999 - Marianna Milano:
CCTV: a new network-based methodology for the analysis and visualization of COVID-19 data. 2000-2001 - Scott P. Morton, Joshua L. Phillips:
Computational Electrostatics Predict Variations in SARS-CoV-2 Spike and Human ACE2 Interactions. 2002-2009 - Rahul Krishnan Pathinarupothi, Dipu T. Sathyapalan, Merlin Moni, K. A. Unnikrishna Menon, Maneesha Vinodini Ramesh:
REWOC: Remote Early Warning of Out-of-ICU Crashes in COVID Care Areas using IoT Device. 2010-2013 - Spencer C. Richmanz, Cole A. Lyman, Matthew C. Morris, Hongbao Cao, Anastasia Nesterovay, Anton Yuryevy, Chris Cheadle, Gordon Broderick:
Leveraging Drug-Target Interaction Data for the Translation of Computational Models into Clinically Actionable Interventions. 2014-2021 - Ileana Scarpino, Chiara Zucco, Mario Cannataro:
Characterization of Long COVID using text mining on narrative medicine texts. 2022-2027 - Meidan Ding, Aiping Qu, Haiqin Zhong, Hao Liang:
A Transformer-based Network for Pathology Image Classification. 2028-2034 - Yang Liu, Jialun Wu, Yuhua Wei, Bing Mao, Chen Li, Tieliang Gong:
AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. 2043-2050 - Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li:
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. 2051-2058 - Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li:
Meta Mask Correction for Nuclei Segmentation in Histopathological Image. 2059-2063 - Wenhan Tan, David E. Breen, Fernando U. Garcia, Mark D. Zarella:
Automated Classification Map Generation of Prostate Cancer using Deep Learning. 2064-2071 - Yuxuan Wang, Xuechen Li, Jingxin Liu, Linlin Shen, Kunming Sun, Suying Wang:
A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation. 2072-2079 - Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li:
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. 2080-2087 - Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li:
PIMIP: An Open Source Platform for Pathology Information Management and Integration. 2088-2095 - Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li:
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. 2096-2103 - Jialun Wu, Ruonan Zhang, Tieliang Gong, Xinrui Bao, Zeyu Gao, Haichuan Zhang, Chunbao Wang, Chen Li:
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. 2104-2111 - Haiqin Zhong, Aiping Qu, Hao Liang, Meidan Ding:
A Modified Convolutional Neural Network for Nuclei Classification in Histopathology Image. 2112-2119 - Forough Hakiminia, Firooz Jannat Alipoor, Malek Hossein Asadi:
LncRNA PNKY is upregulated in breast cancer and promotes cell proliferation and EMT in breast cancer cells. 2120-2127 - Weijun Yi, Donald A. Adjeroh:
A Deep Learning Approach to LncRNA Subcellular Localization Using Inexact q-mers. 2128-2133 - Yasuhito Asano, Tatsuro Ogawa, Shigeyuki Shichino, Satoshi Ueha, Koji Matsushima, Atsushi Ogura:
Time-Series Analysis of Gene Correlation Networks based on Single-Cell Transcriptome Data. 2134-2141 - Wenlong He, Peng Xia, Xinan Zhang, Tianhai Tian:
A Bayesian framework for inferring heterogeneity of cellular processes using single-cell data. 2142-2146 - Cuiping Liang, Jun Liu, Qince Li, Kuanquan Wang:
The effect of the infarct regions on vulnerability to reentry in two different stages of myocardial infarction. 2147-2154 - Simone G. Riva, Paolo Cazzaniga, Andrea Tangherloni:
Integration of Multiple scRNA-Seq Datasets on the Autoencoder Latent Space. 2155-2162 - Tianyu Wang, Bingjun Li, Sheida Nabavi:
Single-cell RNA sequencing data clustering using graph convolutional networks. 2163-2170 - Sarah Hannah Alves, Cristovão Antunes de Lanna, Karla Tereza Figueiredo Leite, Mariana Boroni, Marley Maria Bernardes Rebuzzi Vellasco:
Multi-omic data integration applied to molecular tumor classification. 2171-2178 - Rubén Armañanzas, Adrián Díaz, Mario Martínez-García, Santiago Mazuelas:
Derivation of a Cost-Sensitive COVID-19 Mortality Risk Indicator Using a Multistart Framework. 2179-2186 - Ashley Babjac, Jun Li, Scott J. Emrich:
Fine-Grained Synonymous Codon Usage Patterns and their Potential Role in Functional Protein Production. 2187-2193 - Mattias Cross, Valentin Radu:
An Immune Inspired Algorithm for Fault Tolerant Enhanced Multimodal Machine Learning. 2194-2200 - Cornelia Fuetterer, Thomas Augustin:
Internal Validation of Unsupervised Clustering following an Association Accuracy Heuristic. 2201-2210 - Pei Gao, Zheng Chen, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota. 2211-2216 - Xiaocao Hu, Yuxin Liu:
Predicting lncRNA-disease associations with network based message passing. 2217-2222 - Jing Hu, Zonghao Li, Xiaolong Zhang, Nansheng Chen:
Prediction of hot spots in protein-protein interaction by Nine-Pipeline & Ensemble Learning strategy. 2223-2230 - Lang Hu, Li Zhu, Hui Huang, Guang Lin, Bin Ren, Jianhai Zhang:
Speaker recognition with voice evoked EEG. 2231-2236 - Riza Isik, Mehmet Tan:
Automated Molecule Generation using Deep Q-Learning and Graph Neural Networks. 2237-2244 - Subash Khanal, Jin Chen, Nathan Jacobs, Ai-Ling Lin:
Alzheimer's Disease Classification Using Genetic Data. 2245-2252 - Thomas Krause, Elena Jolkver, Sebastian Bruchhaus, Michael Kramer, Matthias L. Hemmje:
GenDAI - AI-Assisted Laboratory Diagnostics for Genomic Applications. 2253-2258 - Chang Lei, Dixin Wang, Jinlong Chao, Xuan Zhang, Shuzhen Zheng, Hongtong Wu, Hong Peng:
Seizure Onset Detection Using Common Spatial Pattern and Discriminative Log-Euclidean Kernel-Based Gaussian Process. 2259-2265 - Sokratis Makrogiannis, Nagasoujanya Annasamudram, Yibing Wang, Hector Miranda, Keni Zheng:
A System for Spatio-Temporal Cell Detection and Segmentation in Time-Lapse Microscopy. 2266-2273 - Ahmed A. Metwally, Ariel K. Leong, Aman Desai, Anvith Nagarjuna, Dalia Perelman, Michael Snyder:
Learning Personal Food Preferences via Food Logs Embedding. 2281-2286 - Salman Mohamadi, Donald A. Adjeroh:
An Information-Theoretic Framework for Identifying Age-Related Genes Using Human Dermal Fibroblast Transcriptome Data. 2294-2300 - Owen Queen, Scott J. Emrich:
LASSO-based feature selection for improved microbial and microbiome classification. 2301-2308 - Amber Habib Qureshi, Xiaoyong Zhang, Kei Ichiji, Yusuke Kawasumi, Akihito Usui, Masato Funayama, Noriyasu Homma:
Deep CNN-Based Computer-Aided Diagnosis for Drowning Detection using Post-mortem Lungs CT Images. 2309-2313 - Aadil Rasheed, Florian Borchert, Lasse Kohlmeyer, Richard Henkenjohann, Matthieu-P. Schapranow:
A Comparison of Concept Embeddings for German Clinical Corpora. 2314-2321 - Kenneth Smith, Jamie Lea, Sharlee Climer:
Finding Single and Multi-Gene Expression Patterns for Psoriasis Using Sub-Pattern Frequency Pruning. 2322-2329 - Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu:
Environmental and genome-wide association study on children anxiety and depression. 2330-2337 - Dixin Wang, Chang Lei, Xuan Zhang, Hongtong Wu, Shuzhen Zheng, Jinlong Chao, Hong Peng:
Identification of Depression with a Semi-supervised GCN based on EEG Data. 2338-2345 - Weidong Xie, Yuhuan Chi, Linjie Wang, Kun Yu, Wei Li:
MMBDE: A Two-stage Hybrid Feature Selection Method From Microarray Data. 2346-2351 - Yihua Ye, Yuxin Chen, Zhongnan Zhang, Yuqi Wen, Song He, Xiaochen Bo:
Drug-target interaction prediction based on nonnegative and self-representative matrix factorization. 2352-2359 - Xiaohan Yuan, Shuyu Chen, Chuan Sun, Yuwen Lu:
A Novel Class Imbalance-oriented Polynomial Neural Network Algorithm for Disease Diagnosis. 2360-2367 - Qingyuan Zeng, Wu Zhou:
An Attention Based Deep Learning Model for Direct Estimation of Pharmacokinetic Maps from DCE-MRI Images. 2368-2375 - Wei Zhong, Wei Du:
TR-index: Semantic Characterization for Non-invasive Fetal ECG Signal Quality Assessment. 2376-2383 - Po-Yu Kao, Shu-Min Kao, Nan-Lan Huang, Yen-Chu Lin:
Toward Drug-Target Interaction Prediction via Ensemble Modeling and Transfer Learning. 2384-2391 - Xiang Li, Yazhou Zhang, Jing Li:
Supercomputer Supported Online Deep Learning Techniques for High Throughput EEG Prediction. 2392-2398 - Aoxing Li, Xiaoli Lin, Haiping Yu:
Inferring DTIs Based on Similarity Clustering and CaGCN-DTI Model from Heterogeneous Network. 2399-2406 - Yi Lin, Yi Guan, Zhaoyang Ma, Haiyan You, Xue Cheng, Jingchi Jiang:
An Acne Grading Framework on Face Images via Skin Attention and SFNet. 2407-2414 - Shurui Cai, Renata Fu, Kevin Wang, Na Li, Haowen Chen, Ellie Xi, Daniel Lin, Yongsheng Bai, Qi-En Wang:
Bioinformatics analysis of miRNAs identifies enrichment of axon guidance pathway genes in ovarian cancer stem cells. 2415-2422 - Aman Chandra Kaushik, Aamir Mehmood, Ajay Kumar, Ankit Babu, Dong-Qing Wei, Zhongming Zhao:
Mining Cancer Cell Line-Based Drugs to Benefit KRAS(G12D) Pancreatic Adenocarcinoma Patients. 2423-2428 - Paola Lecca, Bruno Carpentieri, Paolo Sylos Labini, Flavio Vella, Emidio Troiani, Attilio Cavezzi:
Analysis of SARS-CoV-2 protein interactome map. 2429-2436 - Daniel Lin, Renata Fu, Ellie Xi, Yongsheng Bai:
Computational Prediction of Biological Signatures for Candidate Driver Genes Associated with Ovarian Cancer. 2437-2442 - Saurav Mallik, Souvik Rakshit, Ujjwal Maulik, Zhongming Zhao:
Negatively-Associated Maximal Frequent Geneset Mining on DNA Methylation Profile. 2443-2450 - Michael Okwori, Ali Eslami:
CGN-MPred: Cofunctional Gene Network-based Mutation Prediction from Exposure Conditions. 2451-2455 - Xiangwen Zheng, Yu Xiao, Wei Song, Fan Tong, Sheng Liu, Dongsheng Zhao:
COVID19-OBKG: An Ontology-Based Knowledge Graph and Web Service for COVID-19. 2456-2462 - Fardina Fathmiul Alam, Amarda Shehu:
Generating Physically-Realistic Tertiary Protein Structures with Deep Latent Variable Models Learning Over Experimentally-available Structures. 2463-2470 - Abdullah N. Arslan, Mutlu Mete, Anjali Kumari:
RNA Secondary Structure Database, Analysis Tool-Set, and Case-Study Results on SARS-CoV-2. 2471-2478 - Chesphongphach Buranasilp, Brian Y. Chen:
A Conical Representation of Hydrogen Bond Geometry for Quantifying Bond Interactions. 2479-2486 - Sahar Cain, Ali Risheh, Negin Forouzesh:
Calculation of Protein-Ligand Binding Free Energy Using a Physics-Guided Neural Network. 2487-2493 - Kwabena Owusu Dankwah, Jonathon E. Mohl, Khodeza Begum, Ming-Ying Leung:
Understanding the binding of the same ligand to GPCRs of different families. 2494-2501 - Simon B. Hengeveld, Therese E. Malliavin, J. H. Lin, Leo Liberti, Antonio Mucherino:
A study on the impact of the distance types involved in protein structure determination by NMR. 2502-2510 - Muneeba Jilani, Alistair Turcan, Nurit Haspel, Filip Jagodzinski:
Assessing the Effects of Amino Acid Insertion and Deletion Mutations. 2511-2518 - Kazi Lutful Kabir, Ruth Nussinov, Buyong Ma, Amarda Shehu:
Antigen Binding Reshapes Antibody Energy Landscape and Conformation Dynamics. 2519-2526 - Matthew Lee, Bodi Van Roy, Filip Jagodzinski:
Characterizing the Behavior of Mutated Proteins with EMCAP: the Energy Minimization Curve Analysis Pipeline. 2527-2532 - Scott P. Morton, Joshua L. Phillips:
pH Dependent Binding Energies of Broadly Neutralizing Antibodies. 2533-2540 - Kamal Al-Nasr, Ali Sekmen:
Assignment of Protein Secondary Structure Elements from Cα Backbone Trace: An Ensemble of Machine Learning Approaches. 2541-2545 - Kamal Al-Nasr, Ali Sekmen, Bahadir Bilgin, Christopher Jones, Ahmet Bugra Koku:
Deep Learning for Assignment of Protein Secondary Structure Elements from Cɑ Coordinates. 2546-2552 - Salim Sazzed, Peter Scheible, Jing He, Willy Wriggers:
Tracing Filaments in Simulated 3D Cryo-Electron Tomography Maps Using a Fast Dynamic Programming Algorithm. 2553-2559 - Peter Scheible, Salim Sazzed, Jing He, Willy Wriggers:
TomoSim: Simulation of Filamentous Cryo-Electron Tomograms. 2560-2565 - Weitao Sun:
Discovering SARS-CoV-2 genes and mutations adapted for humans in 2594 genomes. 2566-2573 - Justin Z. Tam, Talulla Palumbo, Julie M. Miwa, Brian Y. Chen:
DiffBond: A Method for Predicting Intermolecular Bond Formation. 2574-2586 - Duen-Shian Wang, Hamed S. Hayatshahi, Vindi M. Jayasinghe-Arachchige, Jin Liu:
Allosteric Modulation of Small Molecule Drugs on ACE2 Conformational Change upon Binding to SARS-CoV-2 Spike Protein. 2587-2594 - Alexander Brown, Bradley Ferguson, Bruce Green, Justin Pearre, Ifeoma Anunoby, Carmen M. Cirstea:
Autonomic Dysfunction in Amyotrophic Lateral Sclerosis: Preliminary Insights from Insula Imaging and Heart Rate Variability Studies. 2595-2597 - Xiaochen Jia, Wenjing Meng, Shufen Li, Zhongsheng Tong, Yongsheng Jia:
A rare case of intracystic Her-2 positive young breast cancer. 2598-2602 - Dac-Trung Nguyen, Eric Sid:
Leveraging Integrative Knowledge Graphs to Improve Health Information Access for Rare Diseases. 2603-2605 - Lynn M. Schriml, J. Allen Baron:
Etiology context of rare diseases in the Human Disease Ontology. 2606-2608 - Charlie Tang, Yanji Xu, Qian Zhu:
Data Normalization Improves Semantic Annotation - a Case Study of Rare Disease Name Annotation. 2609-2611 - Zhuozhi Wang, Yongzi Chen:
Systematically analysis of USF3 expression in different types of cancer. 2612-2613 - Qian Zhu, Ruizheng Liu, Gunjan Vatas, Andrew Clough, Yanji Xu, Dac-Trung Nguyen, Ewy A. Mathé, Eric Sid:
Scientific Evidence Based Knowledge Graph in Rare Diseases. 2614-2617 - Qian Zhu, Eric Sundstrom, Yanji Xu:
Better Understand Rare Disease Patients' Needs by Analyzing Social Media Data - a Case Study of Cystic Fibrosis. 2618-2621 - Akshi, Madhav Rao:
Decoding Imagined Speech Using Wearable EEG Headset For a Single Subject. 2622-2627 - Reza Bagherian Azhiri, Mohammad Esmaeili, Mehrdad Nourani:
Real-Time EMG Signal Classification via Recurrent Neural Networks. 2628-2635 - Marianne Frances C. Cacacho, Hina Jasmin C. Ghori, Marla A. Endriga, Enrique Jose L. Frio:
Targeting Neuraminidase A of Multidrug-Resistant Streptococcus pneumoniae: Molecular Docking and Redesign of Traditional Chinese Medicine Compounds. 2636-2642 - Peng Cao, Wei Liang, Kai Zhang, Shanshan Tang, Jinzhu Yang:
Joint feature and task aware multi-task feature learning for Alzheimer's disease diagnosis. 2643-2650 - Rini Chandra, Mohammed Javed, Bulla Rajesh, B. S. Sanjeev, Shahnawaz Khijmatgar:
Target-less Drug Discovery Pipeline using Feature Driven Development (FDD) model. 2651-2658 - Claudia Cruz Martinez, Carlos A. Reyes-García:
Event-related fMRI over-segmentation by Rough Simple Linear Iterative Clustering applied in schizophrenia diagnosis. 2659-2666 - Junyuan Feng, Jincheng Liang, Zihan Qiang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Hang Wei:
Effective techniques for intelligent cardiotocography interpretation using XGB-RF feature selection and stacking fusion. 2667-2673 - Yu Fu, Le Xue, Yi Liao, Lin Chen, Meng Niu, Hong Zhang, Mei Tian, Cheng Zhuo:
Cross-Modality Generation of Amyloid PET from FDG PET for Alzheimer's Disease Diagnosis. 2674-2681 - Michael A. Grasso, Zachary Kim, Alexandra Rogalski, Benjamin Nosrati, Naveed Farrukh:
Physician Prescribing Changes Impacted by Patient-Initiated Online Health Searches. 2682-2685 - Yaowen Gu, Si Zheng, Jiao Li:
CurrMG: A Curriculum Learning Approach for Graph Based Molecular Property Prediction. 2686-2693 - Alessandro Guazzo, Alessandro Battaggia, Enrico Longato, Bruno Franco-Novelletto, Angelo Avogaro, Gian Paolo Fadini, Maurizio Cancian, Barbara Di Camillo, Giovanni Sparacino, Massimo Fusello:
Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings. 2694-2699 - Chenxu Hao, Yali Qu, Xujian Wang, Shenghua Teng, Yan Liu, Ji He, Dongsheng Fan, Shuo Zhang:
Omics feature learning for cross individual ALS disease identification with EMG signal. 2700-2705 - Xinwei Hu, Ziqi Wang, Ge Jin, Weilong Huang, Lingxiang Zheng, Ao Peng, Huiru Zheng, Haiying Wang:
A PDRVIO Loosely coupled Indoor Positioning System via Robust Particle Filter. 2706-2713 - Yan Huang, Jing Qian, Zhiwei Lv, Qiong Wang, Dengxuan Bai, Wei Yan, Jun Wang:
Analysis of Depression Magnetoencephalogram Based on Multiscale Mutual Mode Entropy. 2714-2719 - Mohan Vamsi Kasukurthi, Dominika Houserova, Yulong Huang, Shengyu Li, Dongqi Li, Jingwei Lin, Guanhuan Yang, Shaobo Tan, David Bourrie, Bin Ma, Glen M. Borchert, Jingshan Huang:
SURFR: A Real-Time Platform for Non-Coding RNA Fragmentation Analysis Using Wavelets. 2720-2727 - Nahom Kidane, Yuzhong Shen, Robert E. Kelly:
Optical Imaging for Monitoring Pectus Excavatum Therapy. 2728-2732 - Inyoung Kim, Sangseon Lee, Youngkuk Kim, Hugh Namkoong, Sun Kim:
A probabilistic model for pathway-guided gene set selection. 2733-2740 - Huyen Le, Junxiu Zhou, Weizhong Zhao, Roger Perkins, Weigong Ge, Beverly Lyn-Cook, Henry Francis, Huixiao Hong, Weida Tong, Wen Zou:
Text Fingerprinting and Topic Mining in the Prescription Opioid Use Literature. 2741-2748 - Rui Lebre, Luís A. Bastião Silva, Carlos Costa:
Decentralizing the storage of a DICOM compliant PACS. 2749-2756 - Eva K. Lee, Kyungduck Cha:
Dynamic Restricted Column Generation in MIQP for Cancer Radiation Therapy. 2757-2765 - Eva K. Lee, Zhunan Li, Yuanbo Wang, Matthew S. Hagen, Robert A. Davis, Brent M. Egan:
Multi-Site Best Practice Discovery: From Free Text to Standardized Concepts to Clinical Decisions. 2766-2773 - Yujia Li, Yunxiang Ge, Weibei Dou, Guangzhu Zhang:
Modified Linear Fascicle Evaluation (mLiFE) for Improving the Fiber Tractography of Stroke Patients using Diffusion MRI. 2774-2779 - Yalin Li, Bin Hu, Fa Zheng, Xiangwei Zheng:
A Mild Depression Recognition with Classifier Combination Method Based on Differential Evolution. 2780-2787 - Shengyu Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jiajie Yang, Dongqi Li, Guanhuan Yang, Jingwei Lin, Shaobo Tan, David Bourrie, Bin Ma, Glen M. Borchert, Jingshan Huang:
A New Classification Algorithm and a New Oversampling Method of Mapping Common Data Elements to the BRIDG Model. 2788-2795 - Yiming Li, Sanjiv J. Shah, Donna Arnett, Ryan Irvin, Yuan Luo:
SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes. 2796-2802 - Cuiping Liang, Jun Liu, Kuanquan Wang, Qince Li:
A simulation study: electrical alternances during ischemia 1a, 1b and myocardial infarction. 2803-2810 - Xiang Liu, Ju Zhang, Xiaoguang Lin, AnLong Sun, Da Zhang, Wei Huang:
The Design and Implementation of Perioperative Adverse Events Advisory and Command System. 2811-2816 - Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
Textual Data Augmentation for Patient Outcomes Prediction. 2817-2821 - Serhii Mamilov, Igor Bekh, Elizabeth Bekh:
The Model Of The Multilayer Blood-Filled Biological Tissue. 2822-2825 - Lidia Pascual-Sánchez, Inmaculada Mora-Jiménez, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz:
Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods. 2826-2833 - Po-Cheng Peng, Hsu-Chun Chien, Prasenjit Mitra, Tun-Wen Pai, Chao-Hung Wang, Min-Hui Liu:
Using machine learning approach to predict short-term mortality risk of acute myocardial infarction after emergency admission. 2834-2839 - Vatsala Pokhrel, Bhusan K. Kuntal, Divyanshu Srivastava, Sharmila S. Mande, Krishanu Das Baksi:
Utilizing domain-based features to improve classification accuracy of biomedical text having bacterial associations. 2840-2847 - Kashifuddin Qazi, Ankur Agrawal:
A Context-based Crowd Sourcing Tool for Quality Assurance of SNOMED CT. 2848-2854 - Maxim Ryzhii, Elena Ryzhii:
Comparison of Responses of Ion-Channel and Simplified Pacemaker Cell Models on External Stimulation. 2855-2861 - Henrique D. P. dos Santos, Ana Helena D. P. S. Ulbrich, Renata Vieira:
Evaluation of a Prescription Outlier Detection System in Hospital's Pharmacy Services. 2862-2868 - Morteza Pourreza Shahri, Katrina Lyon, Julia Schearer, Indika Kahanda:
DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification. 2869-2876 - Hyunseok Shin, Simon Shim, Chang Charles Choo, Doosung Hwang, Yunmook Nah, Sejong Oh:
Robust Metabolic Syndrome Risk Index Based on Triangular Areal Similarity. 2877-2884 - Jiyoung Shin, Yikuan Li, Yuan Luo:
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. 2885-2890 - Tianhua Tang, Shan Nan, Ling Lin, Xinhao Jin, Weichao Liao, Xudong Lv:
Why Is a Rule-based Shock Early Warning System Not Accurate: a Case Study. 2891-2895 - Yingheng Wang, Xin Chen, Yaosen Min, Ji Wu:
MolCloze: A Unified Cloze-style Self-supervised Molecular Structure Learning Model for Chemical Property Prediction. 2896-2903 - Femi William, Feng Zhu, Ramazan Aygun, Mattie Ponter:
Spectra-based Classification of Audiovisual and Visuospatial Face-name Associative Memories using EEG. 2904-2911 - Songchun Yang, Xiangwen Zheng, Yu Xiao, Yu Yang, Dongsheng Zhao:
Combining Query Reformulation and Re-ranking to Improve Query Expansion in Chinese EMR Retrieval. 2912-2919 - Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer. 2920-2923 - Thanaboon Yongthasaneekul, Sotarat Thammaboosadee:
Emotion and Worry Measurement Comparison of United Kingdom and Thailand During The First COVID-19 Lockdown Situation. 2924-2930 - Zhenhua Yu, Fang Du:
Enhanced Bayesian detection for copy number alterations from next-generation sequencing data. 2931-2936 - Peng Zhao, Illhoi Yoo, David Moxley:
The Change of Orthopedic Patient Satisfaction Is Associated with the Change of Provider Sex - A Personal Level Data Mining Analysis. 2937-2942 - Peng Zhao, Illhoi Yoo, David Moxley:
Factors Associated with Orthopedic Patient Satisfaction - A Statistical and Decision Tree Analysis. 2943-2948 - Yiqing Zhao, Yuan Luo:
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records. 2949-2961 - Hanyu Zhao, Sha Yuan, Niantao Xie, Jiahong Leng, Guoqiang Wang:
A Federated Adversarial Learning Method for Biomedical Named Entity Recognition. 2962-2969 - Chuan Zhou, Junjing Chen, Tian Zhang, Ximan Tang, Siying Dai, Leiting Chen:
Automatic Medical Lesion Annotation via Feature Fusion Correlation Network. 2970-2976 - Qiang Zhu, Qinghui Dai, Bangchao Wang, Jinxing Liang, Junping Liu, Li Li, Xinrong Hu:
VHINFGM: Virus-Host Interaction prediction via Network Fusion and Graph Mining. 2977-2984 - Amtul Haq Ayesha, Donghao Qiao, Farhana H. Zulkernine:
Heart Rate Monitoring Using PPG With Smartphone Camera. 2985-2991 - Raina Ghanshyam Bangani, Vineetha Menon, Emil Jovanov:
Personalized Stress Monitoring AI System For Healthcare Workers. 2992-2997 - William de Souza Barbosa, Guilherme P. Temporão, Marco A. Meggiolaro:
Control Techniques for Neuromuscular Electrical Stimulation: A Brief Survey. 2998-3005 - Ranlei Cao, Xinyu Liu, Ju Zhou, Dong Chen, Dairong Peng, Tong Chen:
Outlier Detection for Spotting Micro-expressions. 3006-3011 - Yunzhi Cui, Fuze Tian, Qinglin Zhao, Bin Hu:
Design and Application of a Portable Sleep Inertia Detection System Based on EEG Signals. 3012-3017 - Raffaele Giancotti, Patrizia Vizza, Giuseppe Tradigo, Pierangelo Veltri:
A framework for clinical data integration and annotation for decision support. 3018-3020 - Wei Huang, Yuwen Chen, Peng Wang, Xiang Liu, Shuguang Liu:
An Interpretable Temporal Convolutional Network Model for Acute Kidney Injury Prediction in the Intensive Care Unit. 3021-3028 - Yu Jiang, Christian Poellabauer:
A Sequence-to-sequence Based Error Correction Model for Medical Automatic Speech Recognition. 3029-3035 - John Langham, Daniel Stamate, Charlotte A. Wu, Fionn Murtagh, Catharine Morgan, David Reeves, Darren Ashcroft, Evangelos Kontopantelis, Brian McMillan:
Predicting risk of dementia with machine learning and survival models using routine primary care records. 3036-3042 - Mohammad Hamed Mozaffari, Won-Sook Lee:
Second Language Pronunciation Training by Ultrasound-enhanced Visual Augmented Reality. 3043-3050 - Pankaj Pandey, Krishna Prasad Miyapuram:
Nonlinear EEG analysis of mindfulness training using interpretable machine learning. 3051-3057 - Pankaj Pandey, Nashra Ahmad, Krishna Prasad Miyapuram, Derek J. Lomas:
Predicting Dominant Beat Frequency from Brain Responses While Listening to Music. 3058-3064 - Valentina Roquemen-Echeverri, Peter G. Jacobs, Stephen Heitner, Peter M. Schulman, Bethany Wilson, Jorge Mahecha, Clara Mosquera-Lopez:
An AI-Powered Tool for Automatic Heart Sound Quality Assessment and Segmentation. 3065-3074 - Jana Schwarzerova, Adam Bajger, Iro Pierdou, Lubos Popelínský, Karel Sedlár, Wolfram Weckwerth:
An Innovative Perspective on Metabolomics Data Analysis in Biomedical Research Using Concept Drift Detection. 3075-3082 - Mohammad Soleymanpour, Sofia Saderholm, Ramakanth Kavuluru:
Therapeutic Claims in Cannabidiol (CBD) Marketing Messages on Twitter. 3083-3088 - Hwapyeong Song, Sanghoon Lee:
Implementation of Diabetes Incidence Prediction Using a Multilayer Perceptron Neural Network. 3089-3091 - Tao Song, Rui Zhang, Yukun Dong, Fubin Liu, Yu Zhang, Rongrong Peng:
MMDA: Disease Analysis Model Based on Anthropometric Measurement. 3092-3098 - Alexandra Ventura, Tânia Pereira, Francisco Silva, Cláudia Freitas, António Cunha, Hélder P. Oliveira:
Stacking Approach for Lung Cancer EGFR Mutation Status Prediction from CT Scans. 3099-3105 - Eugenio Vocaturo, Ester Zumpano:
ECG Analysis via Machine Learning Techniques: News and Perspectives. 3106-3112 - Eugenio Vocaturo, Ester Zumpano, Luciano Caroprese:
Convolutional Neural Network Techniques on X-ray Images for Covid-19 Classification. 3113-3115 - Eugenio Vocaturo, Ester Zumpano:
Artificial Intelligence approaches on Ultrasound for Breast Cancer Diagnosis. 3116-3121 - Jinting Wu, Yujia Zhang, Xiaoguang Zhao:
Stress Detection Using Wearable Devices based on Transfer Learning. 3122-3128 - Qi Ye, Tomohiro Kuroda, Tong Ruan, Wenlong Zhang, Xiaoling Ge:
An Integrated Resampling Methods for Imbalanced Sporadic Temporal Data in EHRs. 3129-3136 - Haben Yhdego, Jiang Li, Christopher Paolini, Michel A. Audette:
Wearable Sensor Gait Analysis of Fall Detection using Attention Network. 3137-3141 - Yazhou Zhang, Xiang Li, Lu Rong, Prayag Tiwari:
Multi-Task Learning for Jointly Detecting Depression and Emotion. 3142-3149 - Zhiwei Fu, Xinran Gu, Jia Fu, Mojtaba Moattari, Farhana H. Zulkernine:
Predicting the Length of Stay of Patients in Hospitals. 3150-3156 - Tuomo Kalliokoski:
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data. 3157-3164 - Ruchika Malhotra, Sarthak Aggarwal, Ridhima Bansal:
COVID'19 in India: Emotion of the Nation A novel Spatio-Temporal Unsupervised Sentiment Analysis. 3165-3170 - Areeba Umair, Elio Masciari:
Artificial Intelligence Based Analysis of Positive and Negative Tweets Towards COVID-19 Vaccines. 3171-3177 - Yuqing Yang:
COVID-19 Fake News Detection via Graph Neural Networks in Social Media. 3178-3180 - Yazhou Zhang, Lu Rong, Xiang Li, Prayag Tiwari, Qian Zheng, Hui Liang:
MedSeq2Seq: A Medical Knowledge Enriched Sequence to Sequence Learning Model for COVID-19 Diagnosis. 3181-3184 - Qingqing Zhu, Pengfei Wu, Xiwei Wang, Dongyan Zhao, Junfei Liu:
Bidirectional Distillation for Multi-Guidance Medical Dialogue Generation. 3185-3192 - Tibério Baptista, Luís A. Bastião Silva, Carlos Costa:
Highly scalable medical imaging repository based on Kubernetes. 3193-3200 - Franco Milicchio, Mattia Prosperi:
Experimental Survey on Power Dissipation of k-mer-Handling Data Structures for Mobile Bioinformatics. 3201-3206 - Huiling Shao, Lawrence Chan, Fiona Chen, Qilin Ma, Zhiyu Shao, Heng Du:
A Fast-Processing Pipeline for Three-dimensional Visualization of Acute Ischemic Stroke lesion topography. 3207-3214 - Weihao Sun, Yiqiang Chen, Xiaodong Yang, Jiangbei Cao, Yuxiang Song:
FedIO: Bridge Inner- and Outer-hospital Information for Perioperative Complications Prognostic Prediction via Federated Learning. 3215-3221 - Holly Tibble, Aziz Sheikh, Athanasios Tsanas:
Estimation of Asthma Severity from Electronic Prescription Records using British Thoracic Society and Scottish Intercollegiate Guidelines Network Treatment Steps. 3222-3223 - Patrizia Vizza, Giuseppe Tradigo, Ivan Brunelli, Pierangelo Veltri:
A Tool for clinical data annotation of parotid neoplasia. 3224-3229 - Patrizia Vizza, Giuseppe Tradigo, Elvis Kallaverja, Mariagiulia Cristofaro, Giuseppe Lucio Cascini, Pierangelo Veltri:
Annotations for clinical data enrichment. 3230-3231 - Nikhil Vyas, Kelly Ryoo, Hosanna Tesfaye, Ruhan Yi, Marjorie Skubic:
Sleep Stage Classification Using Non-Invasive Bed Sensing and Deep Learning. 3232-3238 - Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman:
Prioritization of Multi-level Risk Factors, and Predicting Changes in Depression Ratings after Treatment Using Multi-Task Learning. 3239-3244 - Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman:
Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters. 3245-3250 - Tahera Ahmed, Ping Zhang, Kuldeep Kumar:
Socio-demographic, Lifestyle and Neuropsychological Risk Factors on Alzheimer's Disease. 3251-3258 - Elvio Gilberto Amparore, Marco Beccuti, Paolo Castagno, Giuliana Franceschinis, Marzio Pennisi, Simone Pernice:
Multiformalism modeling and simulation of immune system mechanisms. 3259-3266 - Henning Fischel, Tina Giorgadze, Ansel Tessier, Kerri-Ann Norton:
Computational Modeling of Chimeric Antigen Receptor (CAR) T-Cell Therapy of a Binary Model of Antigen Receptors in Breast Cancer. 3267-3274 - Kuldeep Kumar, Gulasekaran Rajaguru, Ping Zhang:
Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation. 3275-3279 - Xin Lin, Minjie Lyu, Yihan Zhang, Derin B. Keskin, Lubomir T. Chitkushev, Guanglan Zhang, Vladimir Brusic:
Correctness of Cell Labels in Public Single Cell Transcriptomics Datasets. 3280-3284 - Minjie Lyu, Yihan Zhang, Luning Yang, Xin Lin, Yilin Li, Huan Jin, Anthony Graham Bellotti, Nenad S. Mitic, Vladimir Brusic:
PBMC Cell Classification from Single Cell mRNA Expression by Artificial Neural Networks, Profiles, Gene Markers, and Protein Markers. 3285-3290 - Enrico Mastrostefano, Paola Stolfi, Filippo Castiglione:
A data-driven model for the generation of Virtual Cohorts. 3291-3298 - Giuseppe Alessandro Parasiliti Palumbo, Avisa Maleki, Serena Anna Italia, Giulia Russo, Francesco Pappalardo:
Uncertainty quantification and sensitivity analysis for in silico trial platform: a preliminary application on UISS-MS. 3299-3302 - Valentina Di Salvatore, Avisa Maleki, Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo:
A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant. 3303-3307 - Paola Stolfi, Filippo Castiglione:
A functional data analysis approach to assess the prognostic value of SARS-CoV-2 infections surrogate data. 3308-3314 - Lisa Tomasiak, Rudolf Karch, Wolfgang Schreiner:
The Monoclonal Antibody Pembrolizumab Alters Dynamics of the Human Programmed Cell Death Receptor 1 (PD-1). 3315-3321 - Aleksandar Veljkovic, Mirjana M. Maljkovic, Nenad S. Mitic, Sasa N. Malkov, Minjie Lyu, Xin Lin, Marek T. Michalewicz, Guanglan Zhang, Vladimir Brusic:
Classification of Single Cell Types using Small Sets of Expressed Genes: Comparative Analysis of Supervised Machine Learning Methods. 3322-3326 - Maicom Peters Xavier, Lara Turetta Pompei, Ana Carolina G. de O. Vieira, Matheus Avila Moreira de Paula, Carla Rezende Barbosa Bonin, Ruy Freitas Reis, Alexandre Bittencourt Pigozzo, Bárbara de Melo Quintela, Rodrigo Weber dos Santos, Marcelo Lobosco:
Modelling the Human Immune System Response to the ChAdOx1 nCoV-19 Vaccine. 3327-3333 - Luning Yang, Yihan Zhang, Nenad S. Mitic, Derin B. Keskin, Guanglan Zhang, Lubomir T. Chitkushev, Richard Rankin, Vladimir Brusic:
Applications of single cell profiles of PBMC: Improvements of cell type classification. 3334-3340 - Dehua Chen, Hongjin Zhao, Jianrong He, Qiao Pan, Weiliang Zhao:
An Causal XAI Diagnostic Model for Breast Cancer Based on Mammography Reports. 3341-3349 - Yibo Dong, Andrew Gao, Ian Hou, Kevin Ma, Ruoxian Huang, Yongsheng Bai, Xiaoming Liu:
A Deep Learning Model for Ancestry Estimation with Craniometric Measurements. 3350-3357 - Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun:
A Novel Activation Maximization-based Approach for Insight into Electrophysiology Classifiers. 3358-3365 - Weidong Fang, Chunsheng Zhu, Tian Min Ma, Wuxiong Zhang, Baoqing Li, Li Yi, Fangchen Xu, Tianchen Zhang, Bo Wang:
Dynamic Aging Weight Scheme for Trust Model in Internet of Medical Things. 3366-3369 - Xinrong Hu, Junyu Zhang, Tao Peng, Mingfu Xiong, Feng Yu, Li Li, Min Li:
Cascaded Cross-Domain Fusion of Virtual Try-On. 3370-3377 - Xinrong Hu, Tao Wang, Junjie Huang, Tao Peng, Junping Liu, Ruhan He:
Subway Driver Behavior Detection Method Based On Multi-features Fusion. 3378-3385 - Michael Ito, Yannik Glaser, Peter J. Sadowski:
Evolution-Informed Neural Networks for Microbiome Data Analysis. 3386-3391 - Jie Li, Zhuoyang Li, Xiu Xu, Guoliang Jing:
A method on Face Recognition of Contaminated Small Sample. 3392-3399 - Xiaojuan Liu, Shiyu Zhu, Wensong Yang, Shangbo Zhou:
Few-Shot Learning For Auromatic Intracranial Hematoma Segmentation. 3400-3407 - Xiaojuan Liu, Ruiqi Feng, Shangbo Zhou, Ye Yang:
A Novel PSO-SGD with Momentum Algorithm for Medical Image Classification. 3408-3413 - Elena Spirina Menand, Nisrine Jrad, Jean-Marie Marion, Alain Morel, Pierre Chauvet:
Gene expression RNA-sequencing survival analysis of high-grade serous ovarian carcinoma: a comparative study. 3414-3419 - Yuxin Wan, Rong Fei, Yu Tang, Xueru Bai, Guo Xie, Aimin Li:
Motion compensation and object detection for neuromorphic camera. 3420-3427 - Wei Wang, Bin Sun, Dong Liu, Xianfang Wang, Hongjun Zhang:
DPLA: prediction of protein-ligand binding affinity by integrating multi-level information. 3428-3434 - Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Yong Wang, Shaojie Tang:
DK-Consistency: A Domain Knowledge Guided Consistency Regularization Method for Semi-supervised Breast Cancer Diagnosis. 3435-3442 - Guoping Xu, Xinglong Wu:
FAM: Fully Attention Module for Medical Image Segmentation. 3443-3447 - Ye Yang, Shanxiong Chen, Duo Tan, Rui Yao, Shiyu Zhu, Yuanyuan Jia, Wensong Yang, Yiqing Shen:
Fusion Branch Network with Class Learning Difficulty Loss Function for Recongnizition of Haematoma Expansion Signs in Intracerebral Haemorrhage. 3448-3455 - Qing Ye, Xiaolong Zhang, Xiaoli Lin:
De Novo Drug Design via Multi-Label Learning and Adversarial Autoencoder. 3456-3463 - Junxiang Chen, Li Sun, Ke Yu, Kayhan Batmanghelich:
Extracting Disease-Relevant Features with Adversarial Regularization. 3464-3471 - Saminur Islam, Ahmed Abbasi, Nitin Agarwal, Wanhong Zheng, Gianfranco Doretto, Donald A. Adjeroh:
Detecting Drug-Drug Interactions using Protein Sequence-Structure Similarity Networks. 3472-3477 - Yue Jiang, Lin Shen, Don Adjeroh, Jie Lin:
A Deep Learning Model for 16S rRNA Classification with Taxonomic Tree Embedding. 3478-3483 - Chih Lai, Dalma Martinovic-Weigelt, Aline Serrao De Filippo, Stefan Krämer, Carolin Poschen:
Extracting Semantics of Predicates From Millions of Bio-Medical Abstracts for Inferencing New Biological Key Events and Relationships. 3484-3491 - Salman Mohamadi, Nasser M. Nasrabadi, Gianfranco Doretto, Donald A. Adjeroh:
Human Age Estimation from Gene Expression Data using Artificial Neural Networks. 3492-3497 - Mustafain Rehman, Qiao Pan, Dehua Chen, Arslan Manzoor:
Classification of Chest X-Ray Images to Detect Pneumonia using CNN and Transfer Learning. 3498-3504 - Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes:
Evaluating the pre-processing impact on the generalization of deep learning networks for left ventricle segmentation. 3505-3512 - Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Bruno Belloni:
A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5. 3513-3520 - Pedro Vilares, João Ferreira, Luís A. Bastião Silva, Augusto Silva:
A high specificity deep learning approach with focus on breast cancer screening. 3521-3525 - Oswaldo Artiles, Fahad Saeed:
A Multi-Factorial Assessment of Functional Human Autistic Spectrum Brain Network Analysis. 3526-3531 - Isabela A. Chiorean, Beatrice Amico, Carlo Combi, John H. Holmes:
A Reproducible ETL Approach for Window-based Prediction of Acute Kidney Injury in Critical Care Unit and Some Preliminary Results with Support Vector Machines. 3532-3539 - Britny Farahdel, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu:
Confirmatory Factor Analysis on Mental Health Status using ABCD Cohort. 3540-3547 - Dilanga Abeyrathna, Terrance Life, Shailabh Rauniyar, Shankarachary Ragi, Rajesh Kumar Sani, Parvathi Chundi:
Segmentation of Bacterial Cells in Biofilms Using an Overlapped Ellipse Fitting Technique. 3548-3554 - Vidya Bommanapally, Md Ashaduzzman, Milind Malshe, Parvathi Chundi, Mahadevan Subramaniam:
Self-supervised Learning Approach to Detect Corrosion Products in Biofilm images. 3555-3561 - Ernest Basile Fotseu Fotseu, Thierry Kongne Nembot, Rajesh Kumar Sani, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba, Alain Bertrand Bomgni:
GenNER - A highly scalable and optimal NER method for text-based gene and protein recognition. 3562-3569 - William Gasper, Jiahao Ma, Dario Ghersi, Etienne Z. Gnimpieba, Venkataramana Gadhamshetty, Parvathi Chundi:
Automatic Extension of Medical Subject Headings (MeSH) Thesaurus to Emerging Research. 3570-3577 - Thierry Kongne Nembot, Ernest Basile Fotseu Fotseu, Rajesh Kumar Sani, Etienne Z. Gnimpieba, Carol Lushbough, Alain Bertrand Bomgni:
Prediction of essential genes in G20 using machine learning model. 3578-3582 - Priya Saxena, Abhilash Kumar Tripathi, Payal Thakur, Shailabh Rauniyar, Vinoj Gopalakrishnan, Ram Nageena Singh, Mathew A. Olakunle, Etienne Z. Gnimpieba, Rajesh Kumar Sani:
Integration of text mining and biological network analysis to access essential genes in Desulfovibrio alaskensis G20. 3583-3585 - Payal Thakur, Shailabh Rauniyar, Abhilash Kumar Tripathi, Priya Saxena, Vinoj Gopalakrishnan, Ram Nageena Singh, Mathew A. Olakunle, Etienne Z. Gnimpieba, Rajesh Kumar Sani:
Identifying genes involved in biocorrosion from the literature using text-mining. 3586-3588 - Abhilash Kumar Tripathi, Priya Saxena, Payal Thakur, Shailabh Rauniyar, Vinoj Gopalakrishnan, Ram Nageena Singh, Mathew A. Olakunle, Etienne Z. Gnimpieba, Rajesh Kumar Sani:
Discovery of genes associated with sulfate-reducing bacteria biofilm using text mining and biological network analysis. 3589-3591 - Ishita Arun, Pankaj Pandey, Goldy Yadav, Krishna Prasad Miyapuram:
Predicting learning stages during the serial reaction time task using event-related potentials. 3592-3598 - Tal Pal Attia, Pedro F. Viana, Mona Nasseri, Mark P. Richardson, Benjamin H. Brinkmann:
Seizure Forecasting from Subcutaneous EEG Using Long Short Term Memory Neural Networks: Algorithm Development and Optimization. 3599-3602 - Cédric Cannard, Helané Wahbeh, Arnaud Delorme:
Validating the wearable MUSE headset for EEG spectral analysis and Frontal Alpha Asymmetry. 3603-3610 - Abdelhadi Hireche, Yasmine Zennaia, Redouane Ayad, Abdelkader Nasreddine Belkacem:
A Decoding algorithm for Non-invasive SSVEP-based Drone Flight Control. 3616-3623 - Václav Honzík, Roman Moucek:
Spiking Neural Networks for Classification of Brain-Computer Interface and Image Data. 3624-3629 - Feng Kuang, Lin Shu, Haoqiang Hua, Shibin Wu, Lulu Zhang, Xiangmin Xu, Yunhe Liu, Man Jiang:
Cross-subject And Cross-device Wearable EEG Emotion Recognition Using Frontal EEG Under Virtual Reality Scenes. 3630-3637 - Velu Prabhakar Kumaravel, Marco Buiatti, Elisabetta Farella:
Hyperparameter selection for reliable EEG denoising using ASR: a benchmarking study. 3638-3641 - Xiang Li, Jing Li, Yazhou Zhang, Prayag Tiwari:
Emotion Recognition from Multi-channel EEG Data through A Dual-pipeline Graph Attention Network. 3642-3647 - Tianwen Ma, Jane E. Huggins, Jian Kang:
Adaptive Sequence-Based Stimulus Selection in an ERP-Based Brain-Computer Interface by Thompson Sampling in a Multi-Armed Bandit Problem. 3648-3655 - Emanuele Maiorana:
Transfer Learning for EEG-based Biometric Verification. 3656-3661 - Kyle Oda, Narges Norouzi:
EEG Data Analysis for Intellectual Developmental Disorder. 3662-3666 - Dung Truong, Scott Makeig, Arnaud Delorme:
Assessing learned features of Deep Learning applied to EEG. 3667-3674 - Liying Yang, Qing Chen, Qingyang Zhang, Si Chao:
Intelligent Feature Selection for EEG Emotion Classification. 3681-3688 - Liying Yang, Si Chao, Qingyang Zhang, Pei Ni, Dunhui Liu:
A Grouped Dynamic EEG Channel Selection Method for Emotion Recognition. 3689-3696 - Hanin Abdulrahman, Jason Steggles:
Developing Attractor Analysis Techniques for a Compositional Boolean Network Framework. 3697-3704 - Abdulyekeen T. Adebisi, Venkateswarlu Gonuguntla, Ho-Won Lee, Kalyana C. Veluvolu:
Differential Identification of Prodromal Stages of Alzheimer's Disease Using Tissue Probability Map (TPM) based Network. 3705-3712 - Bolin Chen, Manting Yang, Xuequn Shang:
Identifying functional evolution processes of cancer according to regression residuals network. 3713-3719 - Yunxiang Ge, Zhe Yang, Yutong Feng, Yu Pan, Weibei Dou:
Extended Network-Based Statistics for Measuring Altered Directed Connectivity Components in the Human Brain. 3720-3727 - Alexandra-Ioana Herghelegiu, Haiping Lu:
Improving Negative Sampling in Graph Neural Networks for Predicting Drug-Drug Interactions. 3728-3735 - Sabah Mohammed, Jinan Fiaidhi, Darien Sawyer:
Problem Oriented Diagnostic Service for Describing Clinical Cases based on the GraphQL POMR Approach. 3736-3741 - Muhammad Usman Tariq, Dennys Leyvay, Francisco Alberto Fernandez Limaz, Fahad Saeed:
Graph Theoretic Approach for the Analysis of Comprehensive Mass-Spectrometry (MS/MS) Data of Dissolved Organic Matter. 3742-3746 - Shuai Xu, Xiaoli Lin, Haiping Yu:
Prediction of Drug-Target Interactions Using Molecular Graph and GDNet-DTI Model. 3747-3754 - Guang Zheng, Junmei Zhao, Jiaqi Ru, Hongtao Guo:
The Anti-atherosclerosis Protein Regulation Network Delivered by Onion Quercetin. 3755-3762 - Caiyan Dai, Youwei Ding, Kongfa Hu:
Network pharmacological mechanism of Prunella vulgaris on thyroid tumors. 3763-3766 - Zhong Di, Qin Guo, Shuo Jiang:
Effect of moxibustion preconditioning on JNK expression and apoptosis in cerebral ischemia-reperfusion-injured rats. 3767-3771 - Xinglu Dong, Huanhuan Fan, Xinxing Lai, Kegang Cao:
Critical Thinking and Strategy for Hospital Information Construction: what can we learn from Human Nervous System? 3772-3775 - Xin Dong, Yi Zheng, Zixin Shu, Kai Chang, Dengying Yan, Jianan Xia, Qiang Zhu, Kunyu Zhong, Xinyan Wang, Kuo Yang, Xuezhong Zhou:
TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning. 3776-3783 - Zengzhen Du, Dongxin Tang, Dan Xie:
Automatic Extraction of Clinical Symptoms in Traditional Chinese Medicine for Electronic Medical Records. 3784-3790 - Zhiming Gao, Guifang Hu, Xiaolan Zou, Lingzhi Kong, Yuanjun Zou:
Medication Rule and Mechanism of Action for the Treatment of Polycystic Ovary Syndrome Based on Data Mining and Network Pharmacology. 3797-3804 - Houwu Gong, Min Jin, Liang Zhou, Heng Chen, Lin Zhang, Yu Liu:
An Automatic Clinical Model for Chinese Medicine Based on Interpretable Machine Learning Algorithms. 3805-3811 - Hongtao Guo, Hejun Wang, Guang Zheng:
Ternate Chinese Medicines Alleviate Joint Pain via Inhibiting Rheumatoid Arthritis Pathway. 3812-3817 - Mingxuan Jia, Jieyi Li, Jialin Liu, Yating Yin, Yong Wang, Liaoyu Xu:
Study on application of knowledge graph in TCM pediatric treatment of Disease. 3818-3821 - Shuo Jiang, Zui Shen, Zhong Di:
Effect of Electroacupuncture on LTP in depression like rat's hippocampus. 3822-3826 - Chih-Hung Lin, I-Shiang Tzeng, Ya-Hsuan Lin, Chan-Yen Kuo:
An Association Rule Analysis of Acupressure Effect on Sleep Quality. 3827-3831 - Weijie Lin, Zhengrong Liu, Ling Li, Zhiling Zhou, Shiyu Ma, Fazhong He:
Effects of Shugan Quzhi Capsule in treating different metabolic diseases based on network pharmacology and molecular docking. 3832-3839 - Lihong Liu, Lirong Jia, Keyu Yao, Yan Zhu, Chao Chen:
Demonstration Study on Automatic Discovery of Interaction between Chinese Medicines and Chemical Medicine Based on Ontology Reasoning. 3840-3844 - Qian Liu, Jingbin Niu, Weixi Mao, Yixin Zheng, Guoping Liu, Jin Zhao:
Chronic Gastritis Syndrome Diagnosis and Symptom Selection with Ensemble Learning. 3845-3852 - Li Liu, Xuebo Li:
Research and Construction of Marine Chinese Medicine Formulas Knowledge Graph. 3853-3855 - Lulu Zhang, Zhe Huang, Lixin Yang, Shujuan Du, Ran Duan, Jinghua Yang, Bingwen Hu:
The Network Pharmacological Mechanism of Yizhiningshen Oral Liquid in the Treatment of Tic Disorders. 3856-3863 - Jiajian Lv, Qian Hao, Lu Jiang, Liangqing Guo, Shuang Zhang, Xiaochun Han:
Study on Property Mechanism of Cold and Heat Drugs Based on Gene Ontology. 3864-3869 - Weidong Pan, Jiadong Xie, Yufeng Zhao, Baoyan Liu, Kongfa Hu:
Research On the Data Quality Control Model of the Traditional Chinese Medicine Inpatient Medical Record Home Page Based on XGBoost. 3870-3874 - Xuanqi Wang, Bin Cao, Dejian Wei, Jing Liu, Hui Cao:
Diagnosis of Thyroid Nodules Based on Lightweight Residual Network. 3875-3881 - Song Wang, Yue Li, Kongfa Hu, Fang Ye, Liu Li:
Data Mining-Based and Network Pharmacology-Based Analysis of Medication Rules and Action Mechanism of Professor Zhou Zhongying in Lung Cancer Treatment. 3882-3887 - Dejian Wei, Zhenzhen Zhao, Yanyan Feng, Hui Cao, Jing Liu, Junzhong Zhang:
A quantitative device for elbow joint function rehabilitation based on the concept of traditional Chinese fracture rehabilitation. 3888-3892 - Jie Xiong, Lei Lei, Haiyan Li, Manting Huang, Li Kang, Ce Yang:
AcuEBase v1.0: an online database for analysis of acupuncture effect. 3893-3897 - Yang Yang, Fangyuan Dai, Xin Ma, Xue Yu, Xuezhong Zhou, Ping Li:
COX-2 as the key target of LianXia NingXin Formula for treating Sympathetic Remodeling after Myocardial Infarction: pharmacological network prediction with experimental validation. 3898-3905 - Yating Yin, Guo-Zheng Li, Yi-guo Wang, Qiming Zhang, Mingqiang Wang, Lei Zhang:
Study on construction and application of knowledge graph of TCM diagnosis and treatment of viral hepatitis B. 3906-3911 - Yating Yin, Guo-Zheng Li, Yi-guo Wang, Qiming Zhang, Mingqiang Wang, Lei Zhang:
Analysis of the characteristics of hepatitis B in various regions of China from 2009 to 2011 and the analysis of TCM diagnosis and treatment plans. 3912-3918 - Lei Zhang, Xinfeng Guo, Shuo Yang, Sihong Liu, Hongtao Li, Guangkun Chen, Hongjie Gao, Huamin Zhang, Lin Tong:
Study on Traditional Chinese Medicine in the Treatment of Knee Osteoarthritis Based on Data Mining of Ancient Medical Classics. 3919-3926 - Yu Zhang, Lin Tong, Guangkun Chen, Jingpeng Deng, Hongtao Li:
Analysis of medication rule of Professor Yan Xiaocheng on the treatment of primary epilepsy. 3927-3933 - Pan Zhang, Shusong Mao, Shaowu Shen, Yan Wang:
Research on TCM clinical coding database construction based on Knowledge engineering. 3934-3938 - Junzhong Zhang, Zhiwei Li, Shixing Yan, Hui Cao, Jing Liu, Dejian Wei:
An automatic rib fracture recognition model based on nnU-Net and Densenet. 3939-3944 - Mei Zhao, Li Mi:
Analysis on Medication Rules of Guide to Clinical Medical Records from the Prescriptions Containing Poria Cocos Based on Data Mining. 3945-3948 - Wenhui Zhao, Hao Wu, Jieyue He:
HGNA-HTI: Heterogeneous graph neural network with attention mechanism for prediction of herb-target interactions. 3949-3956 - Yue Zhong, Xun Wang, Qingyu Tian, Dayan Liu, Ying Zhang, Huanhuan Dai, Gan Wang, Xudong Zhang:
Repositioning Traditional Chinese Medicine to PI3K Pathway Proteins Based on Deep Learning Method. 3957-3962 - Qunsheng Zou, Kuo Yang, Kai Chang, Xiaoping Zhang, Xiaodong Li, Xuezhong Zhou:
Phenonizer: A fine-grained phenotypic named entity recognizer for Chinese clinical texts. 3963-3970
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