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ORCIDBIBM 2020: Virtual Event, South Korea
- Taesung Park, Young-Rae Cho, Xiaohua Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang, Julio C. Facelli, Seungyoon Nam, Mingon Kang:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020. IEEE 2020, ISBN 978-1-7281-6215-7 - Eva K. Lee:
Abstract: Modeling and Evaluating Intervention Options and Strategies for COVID-19 Containment: A Biological-Behavioral-Logistics Computation Decision Framework. 1-2 - Doheon Lee:
Accelerating Drug Discovery with an AI-Based Virtual Human System CODA. 3 - Luonan Chen:
Network biomarker for quantifying regular state of a biological system, and dynamic network biomarker for quantifying critical state of a biological system. 4 - Lei Deng, Jing Yang, Hui Liu
:
Predicting circRNA-disease associations using meta path-based representation learning on heterogenous network. 5-10 - Lei Deng, Jiaojiao Zhao, Jingpu Zhang:
Predict the Protein-protein Interaction between Virus and Host through Hybrid Deep Neural Network. 11-16 - Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction. 17-22 - Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov, Amarda Shehu:
Decoy Selection in Protein Structure Determination via Symmetric Non-negative Matrix Factorization. 23-28 - Junyi Li, Lixin Wang, Xiaoshuai Zhang, Bo Liu, Yadong Wang:
GONET: A Deep Network to Annotate Proteins via Recurrent Convolution Networks. 29-34 - Mohammad Al Sallal, Wei Chen, Kamal Al Nasr:
Machine Learning Approach to Assign Protein Secondary Structure Elements from Cα Trace. 35-41 - Kevin Sutanto, Marcel Turcotte:
Assessing the Use of Secondary Structure Fingerprints and Deep Learning to Classify RNA Sequences. 42-49 - Ahmed Bin Zaman, Toki Tahmid Inan, Amarda Shehu:
Protein Decoy Generation via Adaptive Stochastic Optimization for Protein Structure Determination. 50-55 - Jinhao Zhang, Shuhao Li, Yijie Ding, Jijun Tang, Fei Guo:
An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides. 56-61 - Faizy Ahsan, Alexandre Drouin, François Laviolette, Doina Precup, Mathieu Blanchette:
Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites. 62-66 - Qiguo Dai, Zhaowei Wang, Jinmiao Song, Xiaodong Duan, Maozu Guo, Zhen Tian:
A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction. 67-71 - Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang:
WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. 72-75 - Yuan Liu, Changhui Yan:
A Novel Spatial Feature For Predicting Lysine Malonylation Sites Using Machine Learning. 76-79 - Sinuo Liu, Yan Ma, Xiaojuan Ban, Xiangrui Zeng, Mohan Vamsi Nallapareddy, Ajinkya Chaudhari, Min Xu:
Efficient Cryo-Electron Tomogram Simulation of Macromolecular Crowding with Application to SARS-CoV-2. 80-87 - Aritra Mahapatra, Jayanta Mukherjee:
GenFooT: Genomic Footprint of mitochondrial sequence for Taxonomy classification. 88-91 - Yu Song, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai:
Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. 92-95 - Han Wang, Jiuhong Jiang, Qiufen Chen, Chunhua Zhang, Chang Lu, Zhiqiang Ma:
SeqTMPPI: Sequence-Based Transmembrane Protein Interaction Prediction. 96-99 - Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Rong Peng, Juan Liu:
GPPIAL: A New Global PPI Network Aligner Based on Orthologs. 100-107 - Hongyang Jiang, Zhihang Wang, Chaoyi Yin, Peishuo Sun, Ying Xu, Huiyan Sun:
Identification of Cancer Development Related Pathways Based on Co-Expression Analyses. 108-114 - Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang:
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. 115-120 - Chuan-Yuan Wang, Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, Chunhou Zheng, Xiang-Zhen Kong:
Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis. 121-125 - Zhihui Yang, Juan Liu, Zeyu Wang, Yufan Wang, Jing Feng:
Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method. 126-131 - Yongqing Zhang, Qingyuan Chen, Dongrui Gao, Quan Zou:
GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration. 132-139 - Ruiqing Zheng, Zhenlan Liang, Xiangmao Meng, Yu Tian, Min Li:
A robust single cell clustering method based on subspace learning and partial imputation. 140-145 - Cagatay Dursun, Jennifer R. Smith, G. Thomas Hayman, Anne E. Kwitek, Serdar Bozdag:
NECo: A node embedding algorithm for multiplex heterogeneous networks. 146-149 - Xu Jin, MingMing Liu, Lin Wang, WenQian He, Yalou Huang, Maoqiang Xie:
Multi-Resolutional Collaborative Heterogeneous Graph Convolutional Auto-Encoder for Drug-Target Interaction Prediction. 150-153 - Pujan Joshi, Brent Basso, Honglin Wang, Seung-Hyun Hong, Charles Giardina, Dong-Guk Shin:
Identification of Key Biological Pathway Routes in Cancer Cohorts. 154-157 - Arfeen Khalid:
BioMETA: A multiple specification parameter estimation system for stochastic biochemical models. 158-163 - Honglin Wang, Pujan Joshi, Seung-Hyun Hong, Peter F. Maye, David W. Rowe, Dong-Guk Shin:
cTAP: A Machine Learning Framework for Predicting Target Genes of a Transcription Factor using a Cohort of Gene Expression Data Sets. 164-167 - Hansi Zheng, Xiaoman Li, Haiyan Hu:
Deep Learning to Identify Transcription Start Sites from CAGE Data. 168-172 - Lei Cai, Yufeng Wu, Jingyang Gao:
scSNVIndel. accurate and efficient calling of SNVs and indels from single cell sequencing using integrated Bi-LSTM. 173-179 - Jialong Chen, Lei Deng:
DeepARC: An Attention-based Hybrid Model for Predicting Transcription Factor Binding Sites from Positional Embedded DNA Sequence. 180-185 - Koichi Mori, Haruka Ozaki, Tsukasa Fukunaga:
MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction. 186-193 - Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo:
Epistasis Detection using Heterogeneous Bio-molecular Network. 194-199 - Kyle Ferriter, Frank Mueller, Amir Bahmani, Cuiping Pan:
VCFC: Structural and Semantic Compression and Indexing of Genetic Variant Data. 200-203 - Dominique Lavenier, Remy Cimadomo, Romaric Jodin:
Variant Calling Parallelization on Processor-in-Memory Architecture. 204-207 - Yanbo Li, Hardip Patel, Yu Lin:
Kmer2SNP: reference-free SNP calling from raw reads based on matching. 208-212 - Luís Silva, Carlos Pereira, Joel P. Arrais:
Using a Novel Unbiased Dataset and Deep Learning Architectures to Predict Protein-Protein Interactions. 213-216 - Changlin Wan, Dongya Jia, Yue Zhao, Wennan Chang, Sha Cao, Xiao Wang, Chi Zhang:
A data denoising approach to optimize functional clustering of single cell RNA-sequencing data. 217-222 - Seunghyun Wang, Doheon Lee:
Identifying prognostic subgroups of luminal-A breast cancer using a deep autoencoder. 223-227 - Zhenpeng Wu, Jiantao Zheng, Hong-Dong Li:
Identification of Disease-Associated Genes Based on Differential Intron Retention. 228-231 - Yin Zhang, Fei Wang:
Integration for single-cell RNA sequencing data based on the shared cell type assignment. 232-235 - Xudong Zhao, Weiqi Su, Hangyu Li, Tong Liu, Denan Kong, Guohua Wang:
AFS-DEA: An automatic feature selection platform for differential expression analysis. 236-239 - Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun:
α-MOP: Molecule optimization with α-divergence. 240-244 - Dong Chen, Wenjie Shu, Shaoliang Peng:
Predicting CRISPR-Cas9 Off-target with Self-supervised Neural Networks. 245-250 - Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu, Chao Che, Yiwei Liu:
Exploring Multi-level Mutual Information for Drug-target Interaction Prediction. 251-256 - Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang:
Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. 257-262 - Jianliang Gao, Ling Tian, Yuxin Liu, Jianxin Wang, Zhao Li, Xiaohua Hu:
Multi-task Based Few-Shot Learning for Disease Similarity Measurement. 263-268 - Chengxin He, Lei Duan, Huiru Zheng, Jesse Li-Ling, Longhai Li:
DRAMA: Discovering Disease-related circRNA-miRNA-mRNA Axes from Disease-RNA Information Network. 269-274 - Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin:
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. 275-280 - Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li:
A topological AUC-based biomarker ensemble method for the complex disease analysis. 281-286 - Lishuang Li, Mengzuo Huang, Beibei Zhang:
Hierarchical Distillation Network for Biomedical Event Extraction. 287-292 - Wei Li, Qingqing Zhao, Han Zhang, Xiongwen Quan, Jing Xu, Yanbin Yin:
Bayesian Multi-scale Convolutional Neural Network for Motif Occupancy Identification. 293-298 - Zhuang Li, Jie He, Xiaotong Zhang, Huadong Fu, Jingyan Qin:
Toward high accuracy and visualization: An interpretable feature extraction method based on genetic programming and non-overlap degree. 299-304 - Jiefu Li, Jung-Youn Lee, Li Liao:
A Novel Algorithm for Training Hidden Markov Models with Positive and Negative Examples. 305-310 - Wenqi Li, Dehua Chen, Jiajin Le:
Coronary Heart Disease Prediction Based on Combined Reinforcement Multitask Progressive Networks. 311-318 - Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun:
Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. 319-322 - Ming Liu, Wei Dai, Wei Peng, Yu Fu, Yi Pan:
A multi-view approach for predicting microbedisease associations by fusing the linear and nonlinear features. 323-328 - Wui Wang Lui, Amy Wing-Sze Leung, Henry C. M. Leung, Yan Xin, Jade L. L. Teng, Patrick C. Y. Woo, Tak Wah Lam, Ruibang Luo:
MegaPath-Nano: Accurate Compositional Analysis and Drug-level Antimicrobial Resistance Detection Software for Oxford Nanopore Long-read Metagenomics. 329-336 - Xuan Lv, Zhiguang Chen, Yutong Lu, Yuedong Yang:
An End-to-end Oxford Nanopore Basecaller Using Convolution-augmented Transformer. 337-342 - Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake, Yanqing Zhang, Yi Pan:
Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association. 343-348 - Yang Wen, Leiting Chen, Lifeng Qiao, Yu Deng, Siying Dai, Junjing Chen, Chuan Zhou:
Symptom and Pathology Report Generation for Ophthalmic Diseases in Fundus Images. 349-356 - Yuan Xu, Zhihao Yang, Yawen Song, Zhiheng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Star-BiLSTM-LAN for Document-level Mutation-Disease Relation Extraction from Biomedical Literature. 357-362 - Junjie Xu, Yaojia Zheng, Yifan Mao, Ruixuan Wang, Wei-Shi Zheng:
Anomaly Detection on Electroencephalography with Self-supervised Learning. 363-368 - Wuli Xu, Lei Duan, Huiru Zheng, Jesse Li-Ling, Weipeng Jiang, Menglin Huang, Yidan Zhang:
MISSION: Multimodal-Information-Aided Similar Disease Detection Based on Disease Information Network. 369-374 - Shujuan Yin, Weizhong Zhao, Xingpeng Jiang, Tingting He:
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification. 375-380 - Shugang Zhang, Weigang Lu, Zhen Li, Shuang Wang, Mingjian Jiang, Qing Yuan, Zhiqiang Wei, Henggui Zhang:
Mechanisms Underlying Sulfur Dioxide Pollution Induced Ventricular Arrhythmia: A Simulation Study. 381-386 - Tongxuan Zhang, Hongfei Lin, Bo Xu, Yuqi Ren, Zhihao Yang, Jian Wang, Xiaodong Duan:
Gated iterative capsule network for adverse drug reaction detection from social media. 387-390 - Jinyong Zhang, Weizhong Zhao, Jincai Yang, Xingpeng Jiang, Tingting He:
An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts. 391-396 - Yu-Ying Zhao, Maoli Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong:
Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. 397-401 - Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li:
A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases. 402-407 - Borzou Alipourfard, Jean Gao:
Causal Gene Selection Using Marginal Independencies. 408-411 - Zhe Cui, Bo Liu, Liran Juan, Tianyi Zang, Tao Jiang, Yadong Wang:
Assessment of Machine Learning Methods for Classification in Single Cell ATAC-seq. 412-416 - Saya R. Dennis, Tanya Simuni, Yuan Luo:
A Predictive Model for Parkinson's Disease Reveals Candidate Gene Sets for Progression Subtype. 417-420 - Sanket Rajan Gupte, Dharm Skandh Jain, Ashwin Srinivasan, Raviprasad Aduri:
MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences. 421-425 - Fabián Hernández, Luis Fernando Niño, Fabio Aristizábal:
Predicting therapeutic outcomes in Rheumatoid Arthritis using real-world pharmacogenetic and clinical data. 426-431 - Fan Hu, Dongqi Wang, Yishen Hu, Jiaxin Jiang, Peng Yin:
Generating Novel Compounds Targeting SARS-CoV-2 Main Protease Based on Imbalanced Dataset. 432-436 - Changzhi Jiang, Yousi Fu, Shuting Jin, Xiangrong Liu, Baishan Fang, Xiangxiang Zeng:
A multi-task learning method for analyzing microbiota as cancer immunotherapy signal. 437-441 - Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan:
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules. 442-445 - Zhenliang Li, Liming Yuan, Haixia Xu, Rui Cheng, Xianbin Wen:
Deep Multi-Instance Learning with Induced Self-Attention for Medical Image Classification. 446-450 - Cheng Ling, Yitian Shen, Jingyang Gao:
A novel synonymous processing method based on amino acid substitution matrics for the classification of G-protein-coupled receptors. 451-454 - Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. 455-459 - Kalana Wijegunarathna, Uditha Maduranga, Sadeep Weerasinghe, Indika Perera, Anuradha Wickramarachchi:
MetaG: a comprehensive visualization tool to explore metagenomes. 460-463 - Amiel Meiseles, Ishai Rosenberg, Yair Motro, Lior Rokach, Jacob Moran-Gilad:
Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data. 464-468 - Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li:
CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. 469-472 - Hanlin Mou, Shanshan Zheng, Haifang Wu, Bojing Li, Tingting He, Xingpeng Jiang:
Virus Named Entity Recognition based on Pre-training Model. 473-476 - Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine:
Predicting Early Indicators of Cognitive Decline from Verbal Utterances. 477-480 - Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran:
RSGSA: a Robust and Stable Gene Selection Algorithm. 481-485 - Javier Sastre, Ali Hosseinzadeh Vahid, Caitlin McDonagh, Paul Walsh:
A Text Mining Approach to Discovering COVID-19 Relevant Factors. 486-490 - Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han:
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. 491-494 - Yu Wang, Shaowu Zhang, Yijia Zhang, Jian Wang, Hongfei Lin:
Extracting Protein-Protein Interactions Affected by Mutations via Auxiliary Task and Domain Pre-trained Model. 495-498 - Jael Sanyanda Wekesa, Yushi Luan, Jun Meng:
LPI-DL: A recurrent deep learning model for plant lncRNA-protein interaction and function prediction with feature optimization. 499-502 - Minqi Xu, Xiaolong Zhang, Xiaoli Lin:
Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix. 503-506 - Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-target Interaction Prediction via Multiple Output Deep Learning. 507-510 - Tianyu Yu, Yonghua Zhao, Rongfeng Huang, Shifang Liu, Xinyin Zhang:
Fast Approximate Spectral Clustering via Adaptive Filtering of Random Graph Signals. 511-514 - Qianshi Yuan, Xiaomei Wei, Xiaotian Xiong, Meiyang Li, Yaliang Zhang:
A Hybrid Neural Collaborative Filtering Model for Drug Repositioning. 515-518 - Yuansong Zeng, Xiang Zhou, Jiahua Rao, Yutong Lu, Yuedong Yang:
Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network. 519-522 - Lingling Zhao, Junjie Wang, Liang Cheng, Chunyu Wang:
OntoSem: an Ontology Semantic Representation Methodology for Biomedical Domain. 523-527 - Tingting Cai, Yangming Zhou, Hong Zheng:
Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition. 528-533 - Jintai Chen, Hongyun Yu, Ruiwei Feng, Danny Z. Chen, Jian Wu:
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels. 534-541 - Shiyi Chen, Yaoru Sun, Haoran Wang, Zilong Pang:
Channel Selection based Similarity Measurement for Motor Imagery Classification. 542-548 - Yiqi Chen, Xuanya Li, Kai Hu, Zhineng Chen, Xieping Gao:
Nuclei Segmentation in Histopathology Images Using Rotation Equivariant and Multi-level Feature Aggregation Neural Network. 549-554 - Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Yuyan Jin, Longgeng Li, Chaokai Liang, Hanchun Wen, Hongmin Cai:
Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources. 555-561 - Yang Deng, Dagang Li, Qiang Zhang, Ying Shen:
Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation. 562-569 - Lei Du, Jin Zhang, Fang Liu, Minjianan Zhang, Huiai Wang, Lei Guo, Junwei Han:
Mining High-order Multimodal Brain Image Associations via Sparse Tensor Canonical Correlation Analysis. 570-575 - Xueli Duan, Shaobo Duan, Pei Jiang, Runzhi Li, Ye Zhang, Jingzhe Ma, Hongling Zhao, Honghua Dai:
An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS. 576-582 - Rui Hu, Jia-Ming Cai, Wangjie Zheng, Yang Yang, Hong-Bin Shen:
NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM Image Processing. 583-588 - Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang:
Global Interpretation for Patient Similarity Learning. 589-594 - Xiaoxiang Huang, Guosheng Cui, Dan Wu, Ye Li:
A Semi-supervised Approach for Early Identifying the Abnormal Carotid Arteries Using a Modified Variational Autoencoder. 595-600 - Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu:
Few-shot Radiology Report Generation for Rare Diseases. 601-608 - Daria Kurz, Cristian Axenie:
PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer. 609-614 - Wu Lee, Yuliang Shi, Lin Cheng, Yongqing Zheng, Zhongmin Yan:
Predicting Prescriptions via DSCA-Dual Sequences with Cross Attention Network. 615-622 - Yang Li, Hong Peng, Tingting Dan, Yu Hu, Guihua Tao, Hongmin Cai:
Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering. 623-628 - Yingxue Li, Wenxiao Jia, Yashu Kang, Tiange Chen, Xiang Li, Xin Du, Jianzeng Dong, Changsheng Ma, Fei Wang, Guotong Xie:
DeepComp: Which Competing Event Will Hit the Patient First? 629-636 - Hong-Dong Li, Rui Guo, Junjian Li, Jianxin Wang, Yi Pan, Jin Liu:
Joint Learning of Primary and Secondary Labels based on Multi-scale Representation for Alzheimer's Disease Diagnosis. 637-642 - Mengze Li, Kun Kuang, Qiang Zhu, Xiaohong Chen, Qing Guo, Fei Wu:
IB-M: A Flexible Framework to Align an Interpretable Model and a Black-box Model. 643-649 - Xiaozhe Liang, Yanrong Hao, Zhihao Xu, Na Li, Qinglin Zhao:
Identifying abstinent heroin addicts on the basis of single channel's ERP and behavioral data in the gambling task. 650-656 - Adan Lin, Zhenzhen Li, Xuan Yang:
A Network of Simultaneous Segmentation and Registration for Right Ventricle MRI. 657-662 - Shuyan Liu, Junda Ren, Zhineng Chen, Kai Hu, Fen Xiao, Xuanya Li, Xieping Gao:
EffiDiag: an Efficient Framework for Breast Cancer Diagnosis in Multi-Gigapixel Whole Slide Images. 663-669 - Ning Liu, Liangliang Liu, Jianxin Wang:
Local Adaptive U-net for Medical Image Segmentation. 670-674 - Yiwen Luo, Jingmin Xin, Sijie Liu, Junqin Feng, Litao Ruan, Wei Cui, Nanning Zheng:
Lymph Node Metastasis Classification Based on Semi-Supervised Multi-View Network. 675-680 - Tianxu Lv, Xiang Pan, Lihua Li:
DCE-MRI based Breast Intratumor Heterogeneity Analysis via Dual Attention Deep Clustering Network and its Application in Molecular Typing. 681-686 - Dengjuan Ma, Zhu Wang, Jia Xie, Zhiwen Yu, Bin Guo, Xingshe Zhou:
Modeling Multivariate Time Series via Prototype Learning: a Multi-Level Attention-based Perspective. 687-693 - Jianqiang Peng, Xinlei Li, Dawei Yang, Yingtao Zhang, Wei Zhang, Ye Zhang, Yajie Kong, Fufeng Li, Wenqiang Zhang:
Automatic Tongue Crack Extraction For Real-Time Diagnosis. 694-699 - Tim Prangemeier, Christoph Reich, Heinz Koeppl:
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. 700-707 - Lei Qin, Gaocai Dong, Jing Peng:
Chemical-protein Interaction Extraction via ChemicalBERT and Attention Guided Graph Convolutional Networks in Parallel. 708-715 - Xiaoxuan Qiu, Fuze Tian, Qiuxia Shi, Qinglin Zhao, Bin Hu:
Designing and Application of Wearable Fatigue Detection System Based on Multimodal Physiological Signals. 716-722 - Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane:
Automatic Psoriasis Lesion Segmentation from Raw Color Images using Deep Learning. 723-728 - Jennifer J. Schnur, Ryan Karl, Angélica García-Martínez, Meng Jiang, Nitesh V. Chawla:
Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition Approach. 729-734 - Kanupriya Singh, Shangman Li, Isa Jahnke, Ashish Pandey, Zhen Lyu, Trupti Joshi, Prasad Calyam:
A Formative Usability Study to Improve Prescriptive Systems for Bioinformatics Big Data. 735-742 - Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images. 743-750 - Jie Song, Jiawei Li, Shiqiang Ma, Jijun Tang, Fei Guo:
Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network. 751-756 - Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang:
Using Machine Learning to Automate Mammogram Images Analysis. 757-764 - Juiwen Ting, Kumaradevan Punithakumar, Nilanjan Ray:
Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation. 765-771 - Alejandro I. Trejo-Castro, Ricardo A. Caballero-Luna, José A. Garnica-López, Fernando Vega-Lara, José M. Celaya-Padilla, José G. Tamez-Peña, Antonio Martínez-Torteya:
Texture and signal features from hippocampal T2 maps as biomarkers for MCI to AD progression. 772-777 - Dongsheng Wang, Hongjie Fan, Junfei Liu:
Towards Bootstrapping Biomedical Named Entity Recognition using Reinforcement Learning. 778-784 - Jialin Wang, Shen Liang, Dake He, Ye Wang, Yingpei Wu, Yanchun Zhang:
A Sequential Graph Convolutional Network with Frequency-domain Complex Network of EEG Signals for Epilepsy Detection. 785-792 - Erniu Wang, Fan Wang, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Extracting biomedical relations via a multi-head attention based graph convolutional network. 793-798 - Jinjie Wang, Xiongwen Luo, Linsen Xie, Ying Gao:
A Diversified Supervised based U-shape Colorectal Lesion Segmentor with Meaningful Feature Supplement and Multi-Level Residual Attention Mechanism. 799-806 - Bo Wang, Chengde Lin, Shengwu Xiong:
Wheat Phenotype Extraction via Adaptive Supervoxel Segmentation. 807-814 - Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. 815-820 - Haiyan Wang, Guoqiang Han, Bin Zhang, Yu Hu, Hong Peng, Chu Han, Hongmin Cai:
Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering. 821-826 - Yang Wen, Leiting Chen, Chuan Zhou, Yu Deng, Huiru Zeng, Shuo Xi, Rui Guo:
On the Effective Transfer Learning Strategy for Medical Image Analysis in Deep Learning. 827-834 - Yang Wen, Leiting Chen, Lifeng Qiao, Chuan Zhou, Shuo Xi, Rui Guo, Yu Deng:
An Efficient Weakly-Supervised Learning Method for Optic Disc Segmentation. 835-842 - Mengqi Wu, Paula Branco, Janny Xue Chen Ke, David B. MacDonald:
Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning. 843-850 - Qingyue Xiong, Xinlei Li, Dawei Yang, Wei Zhang, Ye Zhang, Yajie Kong, Fufeng Li, Wenqiang Zhang:
Multi-scale Generative Adversarial Network for Automatic Sublingual Vein Segmentation. 851-856 - Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Chunyang Ruan, Tao Zhang, Weiguo Fan:
Data-Efficient Histopathology Image Analysis with Deformation Representation Learning. 857-864 - Rui Yan, Jintao Li, Xiaosong Rao, Zhilong Lv, Chunhou Zheng, Jinjin Dou, Xiaowen Wang, Fei Ren, Fa Zhang:
NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images. 865-870 - Xiang Ying, Yulin Zhang, Xi Wei, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, Xuewei Li, Ruiguo Yu:
MSDAN: Multi-Scale Self-Attention Unsupervised Domain Adaptation Network for Thyroid Ultrasound Images. 871-876 - Jiawei Zhang, Yanchun Zhang, Shanfeng Zhu, Xiaowei Xu:
Constrained Multi-scale Dense Connections for Accurate Biomedical Image Segmentation. 877-884 - Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes:
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. 885-892 - Xiaowei Zhang, Dawei Lu, Jian Shen, Jin Gao, Xiao Huang, Manxi Wu:
Spatial-temporal Joint optimization Network on Covariance Manifolds of Electroencephalography for Fatigue Detection. 893-900 - Xuan Zhang, Ting Chen:
Attention U-net for Interpretable Classification on Chest X-ray Image. 901-908 - Guokai Zhang, Xiaoang Shen, Ye Luo, Jihao Luo, Zeju Wang, Weigang Wang, Binghui Zhao, Jianwei Lu:
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation. 909-914 - Xuesong Zhao, Yanbo Shao, Juanyun Mai, Airu Yin, Sihan Xu:
Respiratory Sound Classification Based on BiGRU-Attention Network with XGBoost. 915-920 - Haochen Zhao, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang:
A novel approach based on deep residual learning to predict drug's anatomical therapeutic chemical code. 921-926 - Peiyuan Zhou, Andrew K. C. Wong, George Michalopoulos, Robert R. Quinn, Matthew J. Oliver, Yang Yang, Zahid A. Butt, Helen H. Chen:
Revealing Common and Rare Patterns for Peritoneal Dialysis Eligibility Decisions with Association Discovery and Disentanglement. 927-933 - Chuan Zhou, Yuchu Chen, Minghao Fan, Yang Wen, Hang Chen, Leiting Chen:
Enhancing Tiny Tissues Segmentation via Self-Distillation. 934-940 - Huiwei Zhou, Zhe Liu, Chengkun Lang, Yibin Xu, Lei Du:
Two-perspective Biomedical Named Entity Recognition with Weakly Labeled Data Correction. 941-944 - Xiao Zhou, Zhen Cheng, Miao Gu, Fei Chang:
LIRNet: Local Integral Regression Network for Both Strongly and Weakly Supervised Nuclei Detection. 945-951 - Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li:
Multi-scale Strategy Based 3D Dual-Encoder Brain Tumor Segmentation Network with Attention Mechanism. 952-957 - Sophie Adama, Ujwal Chaudhary, Niels Birbaumer, Martin Bogdan:
Longitudinal Analysis of the Connectivity and Complexity of Complete Locked-in Syndrome Patients Electroencephalographic signal. 958-962 - Sarpong Kwadwo Asare, Fei You, Obed Tettey Nartey:
Learning to Classify Skin Lesions via Self-Training and Self-Paced Learning. 963-967 - Wenjun Bai, Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto:
Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information. 968-971 - Bowen Xu, Yankai Wang, Dawei Yang, Wei Zhang, Ye Zhang, Yajie Kong, Wenqiang Zhang:
Maximal Information Complemented Refinement Network for Gland Instance Segmentation. 972-975 - Xiyang Cai, Ziyu Jia, Minfang Tang, Gaoxing Zheng:
BrainSleepNet: Learning Multivariate EEG Representation for Automatic Sleep Staging. 976-979 - Tingting Dan, Zhihao Fan, Yu Hu, Bin Zhang, Guihua Tao, Hongmin Cai:
Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration. 980-984 - Jinlian Du, Wei Mi, Xiaolin Du:
Chinese Word Segmentation in Electronic Medical Record Text via Graph Neural Network-Bidirectional LSTM-CRF Model. 985-989 - Jiansheng Fang, Yanwu Xu, Xiaoqing Zhang, Yan Hu, Jiang Liu:
Attention-based Saliency Hashing for Ophthalmic Image Retrieval. 990-995 - Audrey Ha, John Vorhies, Andrew Campion, Charles X. Fang, Michael Fadell II, Steve Dou, Safwan Halabi, David B. Larson, Emily Wang, YongJin Lee, Joanna Langner, Japsimran Kaur, Bao Do:
Automatic Extraction of Skeletal Maturity from Whole Body Pediatric Scoliosis X-rays Using Regional Proposal and Compound Scaling Convolutional Neural Networks. 996-1000 - Chuanqi Han, Mengyin Gu, Fang Yu, Ruoran Huang, Xi Huang, Li Cui:
Calibration-free Blood Pressure Assessment Using An Integrated Deep Learning Method. 1001-1005 - Xizhi He, Kai Chen, Kai Hu, Zhineng Chen, Xuanya Li, Xieping Gao:
HMOE-Net: Hybrid Multi-scale Object Equalization Network for Intracerebral Hemorrhage Segmentation in CT Images. 1006-1009 - Fan Hu, Yishen Hu, Jianye Zhang, Dongqi Wang, Peng Yin:
Structure Enhanced Protein-Drug Interaction Prediction using Transformer and Graph Embedding. 1010-1014 - Yuelin Hu, Yuejie Zhang, Tao Zhang, Shang Gao, Weiguo Fan:
Label Generation Network based on Self-selected Historical Information for Multiple Disease Classification on Chest Radiography. 1015-1019 - Xin Huang, Biao Zhong, Yuanlong Cao, Yugen Yi, Mengdan Gu:
Chest X-ray Lung Chinese Description Generation based on Semantic Labels and Hierarchical LSTM. 1020-1023 - Feng Jiang, Xiaoli Zhi, Xuehai Ding, Weiqin Tong, Yun Bian:
DLU-Net for Pancreatic Cancer Segmentation. 1024-1028 - Kun Jiang, Shen Liang, Lingxiao Meng, Yanchun Zhang, Peng Wang, Wei Wang:
A Two-level Attention-based Sequence-to-Sequence Model for Accurate Inter-patient Arrhythmia Detection. 1029-1033 - Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker:
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. 1034-1037 - Abhishek Karmakar, Max L. Olender, Farhad Rikhtegar Nezami, David Marlevi, Evan Shlofmitz, Richard A. Shlofmitz, Elazer R. Edelman:
Detailed Investigation of Lumen-Based Tomographic Co-Registration. 1038-1042 - Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen:
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. 1043-1046 - Ah Ra Lee, Min-Gyu Kim, Kyung Jae Won, Il Kon Kim, Eunjoo Lee:
Coded Dynamic Consent framework using blockchain for healthcare information exchange. 1047-1050 - Zhengguang Li, Hongfei Lin, Chen Shen, Wei Zheng, Zhihao Yang, Jian Wang:
Cross2Self-attentive Bidirectional Recurrent Neural Network with BERT for Biomedical Semantic Text Similarity. 1051-1054 - Yan Li, Guitao Cao, Wenming Cao:
A Dynamic Group Equivariant Convolutional Networks for Medical Image Analysis. 1056-1062 - Xin Li, Chengyin Li, Dongxiao Zhu:
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays. 1063-1067 - Zhaohui Liang, Jimmy Xiangji Huang, Jun Li, Stephen Chan:
Enhancing Automated COVID-19 Chest X-ray Diagnosis by Image-to-Image GAN Translation. 1068-1071 - Zhenyu Liu, Yaping Xu, ZhiJie Ding, Qiongqiong Chen:
Time-frequency Analysis Based on Hilbert-Huang Transform for Depression Recognition in Speech. 1072-1076 - Xiao Luo, Haoran Ding, Matthew Tang, Priyanka Gandhi, Zhan Zhang, Zhe He:
Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site. 1077-1081 - Diogo Malafaya, Sara Domingues, Hélder P. Oliveira:
Domain Adaptation for Heart Rate Extraction in the Neonatal Intensive Care Unit. 1082-1086 - Kaushik Mani, Xiang Yue, Bernal Jimenez Gutierrez, Yungui Huang, Simon M. Lin, Huan Sun:
Clinical Phrase Mining with Language Models. 1087-1090 - Dongsheng Pan, Rong Zhang, Yalei Wang, Hui Feng:
Detection of Early Gastric Cancer Based on Single Shot Detector with Feature Enhancement. 1091-1095 - Seongyong Park, Shujaat Khan, Muhammad Moinuddin, Ubaid M. Al-Saggaf:
GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications. 1096-1099 - Zhi Qiao, Zhen Qian, Hui Tang, Guanzhong Gong, Yong Yin, Chao Huang, Wei Fan:
CorGAN: Context aware Recurrent Generative Adversarial Network for Medical Image Generation. 1100-1103 - Aiping Qu, Zhiming Cheng, Xiaofeng He, Yue Li:
An Integration Convolutional Neural Network for Nuclei Instance Segmentation. 1104-1109 - Mustafa S. Salman, Tor D. Wager, Eswar Damaraju, Anees Abrol, Vince D. Calhoun:
Fully automated ordering and labeling of ICA components. 1110-1114 - Hoon Seo, Lodewijk Brand, Hua Wang:
Learning Semi-Supervised Representation Enrichment Using Longitudinal Imaging-Genetic Data. 1115-1118 - Lili Shang, Meiyun Zuo:
What can be improved? Identifying actionable items from patient narratives. 1119-1123 - Jundong Shen, Yi Zhang, Cheng Yu, Chongjun Wang:
Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. 1124-1128 - Chen Shen, Hongfei Lin, Zhiheng Li, Yonghe Chu, Zhengguang Li, Zhihao Yang:
A Graph-boosted Framework for Adverse Drug Event Detection on Twitter. 1129-1131 - Shudong Wang, Zhenzhen Du, Mao Ding, Renteng Zhao, Alfonso Rodríguez-Patón, Tao Song:
LDCNN-DTI: A Novel Light Deep Convolutional Neural Network for Drug-Target Interaction Predictions. 1132-1136 - Haowen Sun, Xiaoqing Lyu, Bei Wang, Yifan Wang, Zhi Tang, Zhenming Liu:
An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding. 1137-1141 - P. Diego Teran, Enrique Domínguez:
Human gait model based on a machine learning and filtering noisy signals with recursive algorithm. 1142-1145 - Dongsheng Wang, Hongjie Fan, Junfei Liu:
Joint Cross-document Information for Named Entity Recognition with Multi-task Learning. 1146-1150 - Lulu Wang, Jinglong Du, Huazheng Zhu, Zhongshi He, Yuanyuan Jia:
Brain MR Image Super-resolution using 3D Feature Attention Network. 1151-1155 - Qingfeng Wang, Ying Zhou, Jun Huang, Zhiqin Liu, Ling Li, Weiyun Xu, Jie-Zhi Cheng:
Hierarchical Attention-Based Multiple Instance Learning Network for Patient-Level Lung Cancer Diagnosis. 1156-1160 - Yang Wen, Leiting Chen, Lifeng Qiao, Yu Deng, Siying Dai, Junjing Chen, Chuan Zhou:
On Automatic Detection of Central Serous Chorioretinopathy and Central Exudative Chorioretinopathy in Fundus Images. 1161-1165 - Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu, Wujie Wen, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang:
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective. 1166-1170 - Yang Wen, Leiting Chen, Lifeng Qiao, Yu Deng, Chuan Zhou:
On the Deep Learning-based Age Prediction of Color Fundus Images and Correlation with Ophthalmic Diseases. 1171-1175 - Zhenhua Wu, Hong Zeng, Yue Zhao, Xiufeng Li, Jiaming Zhang, Motonobu Hattori:
Cross-subject EEG Channel Optimization by Domain Adversarial Sparse Learning Model. 1176-1179 - Yue Wu, Yui Lo, Yujiu Yang:
STCN: A Lightweight Sleep Staging Model with Multiple Channels. 1180-1183 - Haifeng Xu, Hui Yan, Jianfei Pang, Shan Nan, Xi Yang, Dongsheng Zhao:
Evaluating the relative value of care interventions based on clinical pathway variation detection and propensity score. 1184-1187 - Shan Yang, Xiangwei Zheng, Xuanchi Chen, Yi Wei:
Multi-task deep representation learning method for electronic health records. 1188-1192 - Hai Yang, Xiaohui Sun, Yang Sun, Ligang Cui, Bingshan Li:
Ultrasound Image-Based Diagnosis of Cirrhosis with an End-to-End Deep Learning model. 1193-1196 - Zhengwu Yang, Hanning Guo, Shanling Ji, Shan Li, Yu Fu, Man Guo, Zhijun Yao:
Reduced Dynamics in Multivariate Regression-based Dynamic Connectivity of Depressive Disorder. 1197-1201 - Chen-Li Yao, Bao-Liang Lu:
A Robust Approach to Estimating Vigilance from EEG with Neural Processes. 1202-1205 - Yunfei Yin, Hui Cheng, Faliang Huang:
ECG Pattern Discovery Algorithm Based on Local Repeatability. 1206-1209 - Ruiguo Yu, Jiachen Hu, Mei Yu, Xi Wei, Han Jiang, Jialin Zhu, Zhiqiang Liu, Jie Gao, Xuewei Li:
Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image. 1210-1214 - Mei Yu, Minyutong Cheng, Xubin Li, Zhiqiang Liu, Jie Gao, Xuzhou Fu, Xuewei Li, Ruiguo Yu:
Tumor Classification Based on Approximate Symmetry Using Dual-Branch Complementary Fusion Network. 1215 - Min Zhang, Bin Hu, Xiangwei Zheng, Tiantian Li:
A Novel Multidimensional Feature Extraction Method Based on VMD and WPD for Emotion Recognition. 1216-1220 - Chuan Zhou, Tian Zhang, Leiting Chen, Yang Wen, Ting Lei, Junjing Chen:
Attention Based Detection for Central Serious Chorioretinopathy in Fundus Image. 1221-1225 - Jinxian Wang, Yuanyuan Deng, Liang Shu, Lei Deng:
Machine learning-based methods and novel data models to predict adverse drug reaction. 1226-1230 - Lingling Zhao, Peijin Xie, Lingfeng Hao, Tiantian Li, Chunyu Wang:
Gene Ontology aided Compound Protein Binding Affinity Prediction Using BERT Encoding. 1231-1236 - Zijun Zhu, Xudong Han, Liang Cheng:
Identification of gene signature associated with type 2 diabetes mellitus by integrating mutation and expression data. 1237-1244 - Brittany R. Hoard:
Biological Rule-Based Modeling of Experimental Cell Secretion Data. 1245-1252 - Xin Lin, Jiahui Zhong, Minjie Lyu, Sen Lin, Derin B. Keskin, Guanglan Zhang, Vladimir Brusic, Lou Chitkushev:
Artificial Neural Network System for Cell Classification using Single Cell RNA Expression. 1253-1257 - Minjie Lyu, Milena Radenkovic, Derin B. Keskin, Vladimir Brusic:
Classification of Single Cell Types During Leukemia Therapy using Artificial Neural Networks. 1258-1261 - Giuseppe Alessandro Parasiliti Palumbo, Giulia Russo, Giuseppe Sgroi, Marco Viceconti, Marzio Pennisi, Cristina Curreli, Francesco Pappalardo:
Verify: a toolbox for deterministic verification of computational models. 1262-1267 - Valentina Di Salvatore, Daniela Formica, Giulia Russo, Viviana Giannino, Francesco Pappalardo:
Modeling, simulation and prediction of protein structures for the design of oncolytic viruses. 1268-1274 - Giuseppe Sgroi, Marzio Pennisi, Giulia Russo, Francesco Pappalardo, Giuseppe Alessandro Parasiliti Palumbo:
Evaluation of the predictive capability of PETAL tool: a retrospective study on potential tyrosine kinases drug resistance targets. 1275-1280 - Larissa de L. e Silva, Maicom Peters Xavier, Rodrigo Weber dos Santos, Marcelo Lobosco, Ruy Freitas Reis:
Uncertain Quantification of Immunological Memory to Yellow Fever Virus. 1281-1288 - Paola Stolfi, Filippo Castiglione:
Emulation of dynamic multi-output simulator of risk of type-2 diabetes. 1289-1294 - Lisa Tomasiak, Rudolf Karch, Wolfgang Schreiner:
Long-Term Molecular Dynamics Simulations Reveal Flexibility Properties of a Free and TCR-Bound pMHC-I System. 1295-1302 - Michael Ventoso, Kerri-Ann Norton:
Simulating an Immune Response with a Combined Agent-Based Model of a Triple-Negative Breast Cancer Tumor and Vascular Network. 1303-1310 - Maicom Peters Xavier, Ruy Freitas Reis, Rodrigo Weber dos Santos, Marcelo Lobosco:
A simplified model of the Human Immune System response to the COVID-19. 1311-1317 - Luning Yang, Yihan Zhang, Nenad Mitic, Derin B. Keskin, Guanglan Zhang, Lou Chitkushev, Vladimir Brusic:
Single-cell mRNA Profiles in PBMC. 1318-1323 - Luning Yang, Yihan Zhang, Nenad Mitic, Derin B. Keskin, Guanglan Zhang, Lou Chitkushev, Vladimir Brusic:
Prediction of PBMC Cell Types Using scRNAseq Reference Profiles. 1324-1328 - Yihan Zhang, Luning Yang, Vladimir Brusic:
Automation of Gene Expression Profile Analysis in Single Cell Data. 1329-1334 - Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang:
Similarity Computation based on Formal Concept Analysis for Colorectal Cancer Patients. 1335-1339 - Guang Zheng, Yajie Gao, Junnan Chen, Hongtao Guo:
Immunoenhancement Powered by Astragali Radix with the Tonifying Qi Effect Identified in Chinese Medicine. 1340-1345 - Bangrui Zheng, Minjie Lyu, Sen Lin, Vladimir Brusic:
Tissue of origin classification from single cell mRNA expression by Artificial Neural Networks. 1346-1350 - Jiahui Zhong, Razin Abdulrauf Shaikh, Haoguo Wu, Xin Lin, Zhiwei Cao, Lou Chitkushev, Guanglan Zhang, Derin B. Keskin, Vladimir Brusic:
Classification of PBMC cell types using scRNAseq, ANN, and incremental learning. 1351-1355 - Timothy James Becker, Dong-Guk Shin:
TensorSV: structural variation inference using tensors and variable topology neural networks. 1356-1360 - Gabrielle Dagasso, Yan Yan, Lipu Wang, Longhai Li, Randy Kutcher, Wentao Zhang, Lingling Jin:
Comprehensive-GWAS: a pipeline for genome-wide association studies utilizing cross-validation to assess the predictivity of genetic variations. 1361-1367 - Mosaab Daoud:
Statistical Learning: the impact of combining feature-information structures on total genetic characterization of composite data points. 1368-1371 - Ruiquan Ge, Guanwen Feng, Pu Wang, Qiguang Miao:
ProFPred: a two-step protein function prediction model based on sequence and evolutionary information. 1372-1376 - Yulong Kan, Xu Wang, Chen Yang, Xuan Yang, Liguang Wang, Jianxiao Liu:
A Kind of Epistasis Mining Method Based on K-tree and Bayesian Network. 1377-1382 - Cory Kromer-Edwards, Mariana Castanheira, Suely Oliveira:
Year, Location, and Species Information In Predicting MIC Values with Beta-Lactamase Genes. 1383-1390 - Junghyun Namkung:
Detection of Fetal Single Gene Mutations through Targeted Sequencing of Maternal cell-free DNA. 1391-1394 - Junmeng Yang, Susan Huang, Eric Li, Yongsheng Bai:
Investigating Genetic Signatures for Sex-Biased miRNA targeted Genes related to Intellectual Disability. 1395-1402 - Kuan-Hung Yeh, Ching-Heng Lin, Tzu-Hung Hsiao, Tzu-Pin Lu:
Genome-Wide Association Study (GWAS) on Metabolic Syndrome in Subjects with Abdominal Obesity in a Taiwanese Population. 1403-1407 - Shuai Zeng, Mária Skrabisová, Zhen Lyu, Yen On Chan, Kristin Bilyeu, Trupti Joshi:
SNPViz v2.0: A web-based tool for enhanced haplotype analysis using large scale resequencing datasets and discovery of phenotypes causative gene using allelic variations. 1408-1415 - Xiangyun Bai, Kuanquan Wang, Qince Li, Cunjin Luo, Henggui Zhang:
Modeling and simulation study on the treatment of sinus node ischemia by Chinese medicine Yiqi Tongyang. 1416-1423 - Xiangyun Bai, Kuanquan Wang, Qince Li, Cunjin Luo, Henggui Zhang:
Modeling and simulation study on the treatment of sinus node ischemia by Chinese medicine Yiqi Tongyang. 1424-1431 - Alberto Casagrande, Francesco Fabris, Rossano Girometti:
Extending Information Agreement by Continuity. 1432-1439 - Gionata Fragomeni, Maria Vittoria Caruso, Michele Rossi:
Flow Analysis in VA ECMO Support: A CFD Study. 1440-1441 - Pietro Hiram Guzzi, Tiziana Larussa, Rosarina Vallelunga, Ludovico Abenavoli, Giuseppe Tradigo, Francesco Luzza, Pierangelo Veltri:
A Framework for Patient Data Management and Analysis in Randomised Clinical Trials. 1442-1446 - Isabella He, Tianli Jiang, Aryan Thakur, Yongsheng Bai, Zhaohui Qin:
Systematic and Comprehensive Survey of Genomic Loci Associated with Complex Diseases and Traits. 1447-1452 - Yacong Li, Kuanquan Wang, Qince Li, Yizhou Liu, Henggui Zhang:
Effects of Spatial Distributions of Biological Pacemaker Cells on the Pacemaking Ability of Cardiac Tissue. 1453-1460 - Yacong Li, Yizhou Liu, Kuanquan Wang, Henggui Zhang, Qince Li:
Effects of Spatial Distributions of Biological Pacemaker Cells on the Pacemaking Ability of Cardiac Tissue. 1461-1468 - Arrigo Palumbo, Barbara Calabrese, Nicola Ielpo, Andrea Demeco, Antonio Ammendolia, Domenico Corchiola:
Cloud-based biomedical system for remote monitoring of ALS patients. 1469-1476 - Mattia Prosperi, Jiang Bian, Mo Wang:
Multivariate Independence Set Search via Progressive Addition for Conditional Markov Acyclic Networks. 1477-1481 - Jason Qin, Lindsay Puckett, Xin Qian:
Image Based Fractal Analysis for Detection of Cancer Cells. 1482-1486 - Giuseppe Tradigo, Patrizia Vizza, Pietro Hiram Guzzi, Gionata Fragomeni, Antonio Ammendolia, Pierangelo Veltri:
A programmable device to guide rehabilitation patients: design, testing and data collection. 1487-1491 - Antonio Vilasi, Vincenzo Panuccio, Salvatore Morante, Antonino Villa, Maria Carmela Versace, Sergio Mercuri, Maurizio Li Vigni, Giovanni Tripepi, Claudia Torino:
Smit-Ckd: A Mobile App To Improve Adherence To Therapy In Ckd Patients. A Pilot Study. 1492-1497 - Eugenio Vocaturo, Ester Zumpano:
Machine Learning Opportunities for Automatic Tongue Diagnosis Systems. 1498-1502 - Shasha Yuan, Jin-Xing Liu, Junliang Shang, Fangzhou Xu, Lingyun Dai, Xiangzhen Kong:
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. 1503-1509 - Hongtao Guo, Guang Zheng, Junnan Chen, Yajie Gao:
Menstrual Regulation Delivered by Angelicae Sinensis Radix. 1510-1515 - Eugenio Vocaturo, Ester Zumpano:
The contribution of AI in the detection of the Diabetic Retinopathy. 1516-1519 - Zhikui Chen, Xu Zhang, Wei Huang:
The Similar Sparse Domain Adaptation Illustrated by the case of TCM Tongue Inspection. 1520-1525 - Hongyan Cheng, Zhiwei Liang, Zhongquan Huang, Xipeng Yu:
A Support Vector Machine Learning for the Upward and Downward Tendency Theory of Traditional Chinese Medicine. 1526-1533 - Zengzhen Du, Xiaohui Zhang, Dan Xie:
Research on Medical Intelligent Consultation Based on Question Generation Technology. 1534-1540 - Qing Gao, Yuxin Sun, Ningjing Wei, Jialin Liu, Zhongyi Wang, Zhenying Zhao, Guo-Zheng Li, Yating Yin:
Analysis of Professor Lei Zhang's Medical Records of Banxia XieXin Decoction Analogous Prescriptions Based on Principle of attribute partial ordering. 1541-1545 - Hongjie Gao, Sihong Liu, Lei Zhang, Guangkun Chen, Huamin Zhang, Leilei Gong:
Investigation on the treatment of myocardial ischemia-reperfusion injury(MIRI) with Tanyu Recipe based on integrated pharmacology platform V2.0 Molecular Mechanism Research. 1546-1549 - Houwu Gong, Hanxue Zhang, Liang Zhou, Yu Liu, Lin Zhang:
An Interpretable Artificial Intelligence Model of Chinese Medicine Treatment Based on XGBoost Algorithm. 1550-1554 - Ji-Li Hu, Yong-Kang Wang, Zeng-Yang Che, Qian-Qian Li, Hong-Kun Jiang, Ling-Jie Liu:
Image Recognition of Chinese herbal pieces Based on Multi-task Learning Model. 1555-1559 - Chanjuan Li, Dayiheng Liu, Kexin Yang, Xiaoming Huang, Jiancheng Lv:
Herb-Know: Knowledge Enhanced Prescription Generation for Traditional Chinese Medicine. 1560-1567 - Li Lin, Yan Xie:
Analysis and Research on Resource Allocation of Chinese Medicine Hospitals. 1568-1572 - Luo Jie, Li Zhimin, Zhu Binger, Wang Wei, Xie Shuming:
An Analyzing Algorithm Based On Learning And Searching In Chinese Medical Big Data. 1573-1579 - Yuhui Sang, Shuang-Gui Tian, Shao-Wu Shen, Yong Xiao:
Research on Equity of Resource Allocation in Traditional Chinese Medicine hospitals. 1580-1585 - Shuang-Gui Tian, Yong Xiao, Shao-Wu Shen:
Distribution analysis of Pulmonary diseases in Traditional Chinese medicine based on FP-Growth algorithm. 1586-1589 - Shuang-Gui Tian, Yong Xiao, Shao-Wu Shen:
Distribution analysis of Pulmonary diseases in Traditional Chinese medicine based on FP-Growth algorithm. 1586-1589 - Lin Tong, Hongtao Li, Hongjie Gao, Sihong Liu, Lei Zhang, Guangkun Chen, Huamin Zhang:
Analysis of Medication Rule of Treatment for Spring Warm Disease in Case Records of Qing Dynasty Based on Data Mining. 1590-1597 - Jiao-Zhi Wang, Yong Xiao, Shao-Wu Shen, Yue Gui, Xue-Jiao Lin, Xiao-Qiong Wang:
Study on the Medication Law of Traditional Chinese medicine treating Lumbago based on TCM electronic medical record. 1598-1601 - Yifei Wang, Ying Xing, Min Pi, Runshun Zhang, Xiong He, Xuezhong Zhou, Motan Qiu, Tiancai Wen:
Analysis of diabetic comorbidities and their interrelationships in 5227 Chinese patients with type 2 diabetes. 1602-1607 - Zhongyi Wang, Jialin Liu, Ningjing Wei, Zhenying Zhao, Guo-Zheng Li, Qing Gao, Yuxin Sun, Yating Yin:
Summarizing Professor Lei Zhang's Therapeutic Experience of Dyspnea Disease Based on Machine Learning. 1608-1612 - Jiadong Xie, Jiayi He, Weiming He, Chenjun Hu, Kongfa Hu, Rongrong Jiang:
Research on Structured Information Extraction Method of Electronic Medical Records of Traditional Chinese Medicine. 1613-1616 - Ying Xing, Yifei Wang, Min Pi, Runshun Zhang, Jie Yang, Tiancai Wen:
Syndrome Evolution and Chinese Herb Formula Regularity of TCM Heat Syndrome in Type 2 Diabetes Mellitus: Complex Network Community Discovery Algorithm and Sankey Diagram Visualization. 1617-1621 - Qing Ye, Jun Hu, Ying Yu:
Feasibility study of pluses information acquisition system for traditional Chinese medicine pulse diagnosis. 1622-1625 - Ye Hui, Lin Du, Shuyuan Lin, YiQian Qu, Dong Cao:
Extraction and Classification of TCM Medical Records Based on BERT and Bi-LSTM With Attention Mechanism. 1626-1631 - Yating Yin, Zhongyi Wang, Zhenying Zhao, Jialin Liu, Ningjing Wei, Guo-Zheng Li, Qing Gao, Yuxin Sun, Lei Zhang:
Research on the synergy law of Pinellia tuber and Golden thread by improved association rule algorithm. 1632-1636 - Guang Zheng, Junnan Chen, Yajie Gao, Hongtao Guo:
Biological Processes underlying the Reinforcing Primary Qi Delivered by Ginseng. 1637-1640 - Zhikang Wang, Hua Guan:
Research on Named Entity Recognition of Doctor-Patient Question Answering Community Based on BiLSTM-CRF Model. 1641-1644 - Qizheng Gu, Cong Nie, Ruixiang Zou, Wei Chen, Chaojun Zheng, Dongqing Zhu, Xiaojun Mao, Zhongyu Wei, Dong Tian:
Automatic Generation of Electromyogram Diagnosis Report. 1645-1650 - Zijie Li, Xiaoke Ma:
Discovering Cell Types by Integrating Single-cell RNA-sequencing and Protein Interaction Network. 1651-1655 - Shiyin Tan, Xiaoke Ma:
SeHNE: Semi-supervised Heterogeneous Network Embedding for Drug Combination. 1656-1661 - Maryna Popova, Oleksandr Stryzhak, Ozar Mintser, Rina Novogrudska:
Medical Transdisciplinary Cluster Development for Multivariable COVID-19 Epidemiological Situation Modeling. 1662-1667 - Xifang Sun, Jiaqiang Zhu, Shiquan Sun:
A Nonparametric Method for Detecting Differential DNA Methylation Regions. 1668-1671 - Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu:
SWE: a novel method with semantic-weighted edge for measuring gene functional similarity. 1672-1678 - Ying Wang, Qinke Peng, Xu Mou, Tian Han, Zhao Sun, Xiao Wang:
An Effective Hybrid Deep Learning Model for Eukaryotic Promoter Identification. 1679-1686 - Shunfang Wang, Yuan Fang, Xu Wang:
Multi-feature fusion and dimensional reduction based on the two-step deep ontology and the conjoint triad for the identification of cancerlectins. 1687-1692 - Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma:
Large Scale Deep Reinforcement Learning in War-games. 1693-1699 - Ningyi Zhang, Liran Juan, Tianyi Zang:
NCRR: A novel method for measuring disease similarity based on non-coding RNA regulation. 1700-1707 - Chengcheng Zhang, Tianyi Zang:
CNN-DDI: A novel deep learning method for predicting drug-drug interactions. 1708-1713 - Muhammad Amith, Jing Wang, Grace Xiong, Kirk Roberts, Cui Tao:
A health consumer ontology of fast food information. 1714-1719 - Özge Gürbüz, Miao Sun, Nathan Lawless:
A Methodology to Develop Knowledge Graphs for Indication Expansion: An Exploratory Study. 1720-1727 - Vipina Kuttichi Keloth, Shuxin Zhou, Andrew J. Einstein, Gai Elhanan, Yan Chen, James Geller, Yehoshua Perl:
Generating Training Data for Concept-Mining for an 'Interface Terminology' Annotating Cardiology EHRs. 1728-1735 - Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn:
Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes. 1736-1739 - Tao Li, Weihua Peng, Qingcai Chen, Xiaolong Wang, Buzhou Tang:
KEoG: A knowledge-aware edge-oriented graph neural network for document-level relation extraction. 1740-1747 - Jingqi Wang, William Christopher Mathews, Huy Anh Pham, Hua Xu, Yaoyun Zhang:
Opioid2FHIR: A system for extracting FHIR-compatible opioid prescriptions from clinical text. 1748-1751 - Yaoyun Zhang, Jing Li, Mui Van Zandt:
NCCD-RxNorm: Linking Chinese Clinical Drugs to International Drug Vocabulary. 1752-1756 - Fengbo Zheng, Licong Cui:
A Lexical-based Formal Concept Analysis Method to Identify Missing Concepts in the NCI Thesaurus. 1757-1760 - Abdulyekeen T. Adebisi, Venkateswarlu Gonuguntla, Ho-Won Lee, Kalyana C. Veluvolu:
Identification of Dementia Related Brain Functional Networks with Minimum Spanning Trees. 1761-1768 - Yizong Cheng, Jaswanth K. Yella, Anil G. Jegga:
Triangle-Based Tripartite Graph Clustering. 1769-1776 - Yongheng Fan, Ruilan Yu, Jianxiu Li, Jing Zhu, Xiaowei Li:
EEG-based mild depression recognition using multi-kernel convolutional and spatial-temporal Feature. 1777-1784 - Concettina Guerra, Pietro Hiram Guzzi:
Evaluation of the Topological Agreement of Network Alignments. 1785-1792 - Lee Soo Jung, Young-Rae Cho:
Survey of network-based approaches of drug-target interaction prediction. 1793-1796 - Paola Lecca, Angela Re:
Stiffness estimate of information propagation in biological systems modelled as spring networks. 1797-1804 - Xiao-Rui Su, Zhuhong You, Hai-Cheng Yi:
Prediction of LncRNA-Disease Associations Based on Network Representation Learning. 1805-1812 - Raihanul Bari Tanvir, Ananda Mohan Mondal:
Stage-Specific Co-expression Network Analysis for Cancer Biomarker Discovery. 1813-1819 - Trinh Van Giang, Kunihiko Hiraishi:
An efficient method for approximating attractors in large-scale asynchronous Boolean models. 1820-1826 - Yun Zhang, Tao Gong, Shuting Sun, Jianxiu Li, Jing Zhu, Xiaowei Li:
A functional network study of patients with mild depression based on source location. 1827-1834 - Thi Ngan Dong, Megha Khosla:
Towards a consistent evaluation of miRNA-disease association prediction models. 1835-1842 - Renata Fu, Yongsheng Bai, Qi-En Wang:
Computational identification of key pathways and differentially-expressed gene signatures in ovarian cancer stem cells. 1843-1848 - Yaoxin Nie, Linlin Zhu, Zhendong Niu:
An Auxiliary System for Calculating Effective Connectivity from Co-Activation Network Data. 1849-1855 - Sidharth Sen, Tyler McCubbin, Shannon K. King, Laura A. Greeley, Shuai Zeng, Cheyenne Baker, Rachel Mertz, Nicole D. Niehues, Jonathon T. Stemmle, Felix B. Fristchi, David Braun, Scott C. Peck, Melvin J. Oliver, Robert E. Sharp, Trupti Joshi:
A multiomics discriminatory analysis approach to identify drought-related signatures in maize nodal roots. 1856-1861 - Zhenying Tang, Ming Xiao, Senyi Deng, Le Zhang:
Using bioinformatics methods to explore the connections between expression and subcellular localization of proteins and gastric cancer progression. 1862-1869 - Jianghang Xie, Le Zhang, Ming Xiao:
A Review of Artificial Intelligence Applications in Bacterial Genomics. 1870-1876 - Guang Zheng, Yarong Shi, Junnan Chen, Xiaohu Lu, Hongtao Guo:
Immunoregulation Delivered by the Bioactive Compounds of Dioscoreae Rhizoma. 1877-1881 - Ana Almeida, Francisco Oliveira, Rui Lebre, Carlos Costa:
NoSQL distributed database for DICOM objects. 1882-1885 - Danielle Santos Alves, Valéria Cesário Times, Amadeu Sá de Campos Filho, Fred Revoredo Rabelo Ferreira, Érika Maria Alves da Silva, Magdala de Araújo Novaes:
Analysis an Electronic Health Record based on Hedonic and Pragmatic Aspect of the User Experience. 1886-1892 - Ifeoma Anunoby, Vovanti Jones, Alexander Brown, Carmen M. Cirstea:
Cortical tonic GABAergic inhibition - preliminary insights from MR Spectroscopy of subacute stroke. 1893-1896 - Frederick G. Booth, Maurice D. Mulvenna, Raymond R. Bond, Kieran McGlade, Debbie Rankin:
Examining the Effect of Deprivation on Prescribing Behaviours in Northern Ireland. 1897-1900 - Jewel Mae S. Cadiz, Christine Joy U. Susana, Marla A. Endriga, Enrique Jose L. Frio:
Molecular Docking of Traditional Chinese Medicinal Compounds Against Dengue Virus NS3 Protease and NS3 Helicase. 1901-1908 - Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction. 1909-1913 - Hang Chen, Leiting Chen, Yuchu Chen, Minghao Fan, Chuan Zhou:
SEAUNet: Domain Adaptation for Biomedical Image Segmentation. 1914-1919 - Rui Cheng, Liming Yuan, Haixia Xu, Zhenliang Li, Xianbin Wen:
Learnable Bag Similarity Based Deep Multi-Instance Network for Breast Cancer Diagnosis. 1920-1925 - Sasa Cukovic, Radu Emanuil Petruse, Gerrit Meixner, Lea Buchweitz:
Supporting Diagnosis and Treatment of Scoliosis: Using Augmented Reality to Calculate 3D Spine Models in Real-Time - ARScoliosis. 1926-1931 - Nasibeh Zanjirani Farahani, Divaakar Siva Baala Sundaram, Moein Enayati, Shivaram Poigai Arunachalam, Kalyan S. Pasupathy, Adelaide M. Arruda-Olson:
Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes. 1932-1937 - Yue Fei, Xiaoqian Huang, Qinqun Chen, Jiamin Chen, Li Li, Jiaming Hong, Zhifeng Hao, Hang Wei:
Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System. 1938-1942 - Alex S. Felmeister, Angela J. Waanders, Jennifer L. Mason, Jeff Stevens, L. Charles Bailey, Shiva Ganesan, Ingo Helbig:
A Framework for Analysis, Ontological Evaluation, and Visualization in Preparation to Predictive Analytics in Pediatric Brain Tumor Research. 1943-1950 - Tavakoli H. Maryam, Tianyi Xie, Jingyi Shi, Mirsad Hadzikadic, Yaorong Ge:
Predicting Neural Deterioration in Patients with Alzheimer's Disease Using a Convolutional Neural Network. 1951-1958 - Nahom B. Kidane, Mohammad F. Obeid, Frederic D. McKenzie, Robert J. Obermeyer, Robert E. Kelly:
Statistical Chest Shape Modeling: Application to the Evaluation of Pectus Excavatum Treatment Outcomes. 1959-1963 - Junsol Kim:
Academic journal recommendation for human neuroimaging studies via brain activation-based filtering. 1964-1967 - Ioannis Konstantoulas, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas:
An approach for continuous sleep quality monitoring integrated in the SmartWork system. 1968-1971 - Eva K. Lee, Jinha Lee:
Competition Strategy for Healthcare Insurance Plans. 1972-1978 - Eva K. Lee, Karan Uppal:
OptSelect: An algorithm for ensemble feature selection and stability assessment. 1979-1986 - Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. 1987-1994 - Mingjia Li, Nishita Prasad, Dwight Hall, Huanmei Wu:
Analysis of SARS-CoV-2 sequences reveals transmission path and emergence of SD 614G mutation. 1995-1998 - Yikuan Li, Hanyin Wang, Yuan Luo:
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. 1999-2004 - Zhiwei Liang, Pan Zhang, Baoyan Liu, Nenggui Xu, Lu Tian, Ying Lu:
A data capture model and its associate study on the public web published COVID-19 data. 2005-2008 - Po-Yu Liang, Lee-Jyi Wang, Yang-Sheng Wu, Tun-Wen Pai, Chao-Hung Wang, Min-Hui Liu:
Prediction of patients with heart failure after myocardial infarction. 2009-2014 - Wen-Yang Lin, Zhi-Xun Shen:
Embracing Differential Privacy for Anonymizing Spontaneous ADE Reporting Data. 2015-2022 - Abolfazl Meyarian, Himan Namdari, Xiaohui Yuan, Mark V. Albert, John C. Roeske:
Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter. 2023-2026 - Somya D. Mohanty, Thomas P. McCoy, Prashanti Manda, Deborah Lekan, Marjorie Jenkins:
A multi-modal machine learning approach towards predicting patient readmission. 2027-2035 - Maira Beatriz Hernandez Moran, Marcelo Daniel Brito Faria, Gilson A. Giraldi, Luciana Freitas Bastos, Bruno da Silva Inacio, Aura Conci:
On using convolutional neural networks to classify periodontal bone destruction in periapical radiographs. 2036-2039 - Azni Nasuha Ngisa, Ong Huey Fang:
Identifying High-Risk Breast Cancer Patients Using Microarray and Clinical Data. 2040-2044 - Marcela de Oliveira, Felipe Balistieri Santinelli, Marina Piacenti-Silva, Fernando Coronetti Gomes Rocha, Fabio Augusto Barbieri, Paulo Noronha Lisboa-Filho, Jorge Manuel Santos, Jaime dos Santos Cardoso:
Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks. 2045-2048 - Albert Park, Chuqin Li, Jessamyn Bowling, Yaorong Ge, Michael Dulin:
Diet, Weight loss, Fitness, and Health related Image Sharing using Twitter: an Observation Study. 2049-2053 - Nuerzati Resuli, Marjorie Skubic, Scott D. Kovaleski:
Learning Room Structure and Activity Patterns Using RF Sensing for In-Home Monitoring of Older Adults. 2054-2061 - Shelly Sachdeva, Disha Batra, Shivani Batra:
Storage Efficient Implementation of Standardized Electronic Health Records Data. 2062-2065 - Cristina Soguero-Ruíz, Natalia Alonso-Arteaga, Sergio Muñoz-Romero, José Luis Rojo-Álvarez, Manuel Rubio-Sánchez, Isabel Caballero López-Fajardo, Inmaculada Mora-Jiménez:
Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis. 2066-2073 - Shuting Sun, Huayu Chen, Xuexiao Shao, Liangliang Liu, Xiaowei Li, Bin Hu:
EEG Based Depression Recognition by Combining Functional Brain Network and Traditional Biomarkers. 2074-2081 - Xiaofang Sun, Bin Hu, Xiangwei Zheng, Yongqiang Yin, Cun Ji:
Emotion Classification Based on Brain Functional Connectivity Network. 2082-2089 - Yang Wang, Yiping Lin, Guoli Ji, Jinting Guan:
Gene Screening for Autism Based on Cell-type-specific Predictive Models. 2090-2096 - Shuai Wang, Junfei Liu:
ClinicNet: Clinical Practice Oriented Medical Representation Learning for Electronic Medical Records. 2097-2104 - Shuai Wang, Junfei Liu:
TAGNet: Temporal Aware Graph Convolution Network for Clinical Information Extraction. 2105-2108 - Shou-Jen Wang, Jeong-Ho Park, Hyung-Soon Park, Devak Nanda, Mark V. Albert:
Wearable spasticity estimation and validation using machine learning. 2109-2112 - Yibin Wang, Christian Zamiela, Toms V. Thomas, William N. Duggar, P. Russell Roberts, Linkan Bian, Haifeng Wang:
3D Texture Feature-Based Lymph Node Automated Detection in Head and Neck Cancer Analysis. 2113-2119 - He Xiao, Qingfeng Wang, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu:
CSABlock-based Cascade RCNN for Breast Mass Detection in Mammogram. 2120-2124 - Haifeng Xu, Jianfei Pang, Xi Yang, Liqun Ma, Huajian Mao, Dongsheng Zhao:
Applying clinical guidelines to conformance checking for diagnosis and treatment: a case study of ischemic stroke. 2125-2130 - Hang-Jin Yang, Yu-Ying Zhao, Jin-Xing Liu, Yuxia Lei, Junliang Shang, Xiang-Zhen Kong:
Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data. 2131-2138 - Songchun Yang, Xiangwen Zheng, Fan Tong, Huajian Mao, Dongsheng Zhao:
A Novel Algorithm of Expansion Term Selection and Weight Assignment for Query Expansion of Chinese EMR Retrieval. 2139-2146 - Yu Yang, Haifeng Xu, Bin Qi, Xiaodong Niu, Mei Li, Dongsheng Zhao:
Stroke screening data modeling based on openEHR and NINDS Stroke CDE. 2147-2152 - Delong Zhang, Mengqun Jin, Peng Cao:
ST-MetaDiagnosis: Meta learning with Spatial Transform for rare skin disease Diagnosis. 2153-2160 - Ling Zheng, Joan Kapusnik-Uner:
Can MED-RT Summarization Support Missing Adverse Drug Reactions Discovery? 2161-2166 - Magsarjav Bataa, Siwoo Song, Kunsoo Park, Miran Kim, Jung Hee Cheon, Sun Kim:
Homomorphic Computation of Local Alignment. 2167-2174 - Yinchao He, Ryan Bockmon, Miracle Modey, Sarah Roscoe:
Classification of Cancer Types based on Gene Expression Data. 2175-2182 - Che-Lun Hung, Chun-Yuan Lin:
GPU-Based Texture Analysis approach for Mammograms Institute of Biomedical Informatics. 2183-2186 - Carson K. Leung, Oluwafemi A. Sarumi, Christine Y. Zhang:
Predictive Analytics on Genomic Data with High-Performance Computing. 2187-2194 - John Rogers, DeAngelo Wilson:
Comparing phylogeny by compression to phylogeny by NJp and Bayesian Inference. 2195-2202 - Yin-Te Tsai, Zih Yuan Lin:
A Survey on Edge Computing in Bioinformatics and Health Informatics*. 2203-2208 - Yue Jiang, Donald A. Adjeroh, Bing-Hua Jiang, Jie Lin:
J2*: A New Method for Alignment-free Sequence Similarity Measurement. 2209-2214 - Chiara Losquadro, Gaetano Giunta, Luca Pallotta, Michela Gabelloni, Emanuele Neri:
MR Image Analysis to Differentiate Salivary Gland Tumors. a Preliminary Study. 2215-2220 - Salman Mohamadi, Donald A. Adjeroh, Behnoush Behi, Hamidreza Amindavar:
A New Framework for Spatial Modeling and Synthesis of Genomic Sequences. 2221-2226 - Nakul Patel, Kalpdrum Passi, Chakresh Kumar Jain:
Improving Prediction Accuracy of Microarray Cancer Data with Non-negative Matrix Factorization and Its Variant. 2227-2234 - Xufeng Qu, Yuanyuan Wu, Jinze Liu, Licong Cui:
HRV-Spark: Computing Heart Rate Variability Measures Using Apache Spark. 2235-2241 - Xiaoming Xu, Yuandong Chan, Kai Xu, Jikai Zhang, Xiaoning Wang, Zekun Yin, Weiguo Liu:
SLPal: Accelerating Long Sequence Alignment on Many-Core and Multi-Core Architectures. 2242-2249 - Francesco Benedetto, Gaetano Giunta, Chiara Losquadro, Luca Pallotta:
Covid-19 Signal Analysis: Effect of Lockdown and Unlockdowns on Normalized Entropy in Italy. 2250-2256 - Pradeep Kumar Chaudhary, Ram Bilas Pachori:
Automatic diagnosis of COVID-19 and pneumonia using FBD method. 2257-2263 - Juan Antonio Lossio-Ventura, Hugo Alatrista-Salas, Kevin Barrena, Eleni Linos, Miguel Núñez-del-Prado, Alvaro Talavera:
DYVIC: DYnamic VIrus Control in Peru. 2264-2267 - Yongliang Wen, Jiangnan Xu, Yunming Ye, Xutao Li, Chuyao Luo, Tianlun Zhu:
Cascade SEIRD: Forecasting the Spread of COVID-19 with Dynamic Parameters Update. 2268-2273 - Layla S. Araiinejad, Yuexin Li, Jacqueline R. Carlton, Jingyi Zheng:
Assessing the Impact of Government Interventions on the Spread of COVID-19 with Dynamic Epidemic Models: A case study of Texas. 2274-2281 - Shaz Hoda, Amitoj Singh, Anand S. Rao, Remzi Ural, Nicholas Hodson:
Consumer Demand Modeling During COVID-19 Pandemic. 2282-2289 - Aizhu Liu, Haigen Hu, Tian Qiu, Qianwei Zhou, Qiu Guan, Xiaoxin Li:
Exploring Optimal Adaptive Activation Functions for Various Tasks. 2290-2297 - Sébastien Régis, Olivier Manicom, Andrei Doncescu:
Use of fuzzy sets, aggregation operators and multi agent systems to simulate COVID-19 transmission in a context of absence of barrier gestures and social distancing: application to an island region. 2298-2305 - Tao Song, Yue Zhong, Mao Ding, Renteng Zhao, Qingyu Tian, Zhenzhen Du, Dayan Liu, Jiali Liu, Yufeng Deng:
Repositioning Molecules of Chinese Medicine to Targets of SARS-Cov-2 by Deep Learning Method. 2306-2312 - Giuseppe Tradigo, Patrizia Vizza, Gabriel Gabriele, Maria Mazzitelli, Carlo Torti, Mattia Prosperi, Pietro Hiram Guzzi, Pierangelo Veltri:
On the use of clinical based infection data for pandemic case studies. 2313-2317 - Eugenio Vocaturo, Ester Zumpano:
On the Development of a Tool for Tongue Images Analysis. 2318-2319 - Xiaohan Yuan, Shuyu Chen, Yuwen Lu, Shuqi An, Sha Mei, Tianqiang Chen:
An Improved SEIR Model for Reconstructing the Dynamic Transmission of COVID-19. 2320-2327 - Mohammed Aledhari, Rehma Razzak:
An Adaptive Segmentation Technique to Detect Brain Tumors Using 2D Unet. 2328-2334 - Xu Cao, Fangzhou Lan, Chi-Man Liu, Tak Wah Lam, Ruibang Luo:
ChromSeg: Two-Stage Framework for Overlapping Chromosome Segmentation and Reconstruction. 2335-2342 - Rory Liao, Kevin Qi, Daniel Che, Tingying Helen Zeng:
Exploration of the Possibility of Early Diagnosis for Digestive Diseases Using Deep Learning Techniques. 2343-2350 - Hong Seo Lim, Madeline E. Smerchansky, Jingxuan Zhou, Paramita Chatterjee, Angela C. Jimenez, Xingyu Yang, Krishnendu Roy, Peng Qiu:
Image-based early predictions of functional properties in cell manufacturing. 2351-2356 - Chengchuang Lin, Aihua Yin, Qinglan Wu, Hanbiao Chen, Li Guo, Gansen Zhao, Xiaomao Fan, Haoyu Luo, Hua Tang:
Chromosome Cluster Identification Framework Based on Geometric Features and Machine Learning Algorithms. 2357-2363 - Zhenhuan Liu, Jiafeng Chen, Yang Yang:
Tripfly: Predicting Gene-gene Interaction of Drosophila Eye Development Using Triplet Loss. 2364-2370 - Baorong Shi, Hong Zhang, Rui Yan, Wang Jing, Jinfeng Zang, Fa Zhang:
LR-Net: A Multi-task Model Using Relationship-based Contour Information to Enhance the Semantic Segmentation of Cancer Regions. 2371-2378 - Juan Trelles Trabucco, Pengyuan Li, Cecilia N. Arighi, Hagit Shatkay, G. Elisabeta Marai:
Modality-Classification of Microscopy Images Using Shallow Variants of Deep Networks. 2379-2385 - Yaojun Wang, Xinyu Hua, Yu Wang, Chunming Zhang, Dongbo Bu, Shiwei Sun, Xingce Wang:
Mut-Detecter: An EGFR activating mutation type classification method with a deep convolutional neural network. 2386-2389 - Wangjie Zheng, Yang Yang:
An Unsupervised Iterative Model for Single-Particle Cryo-EM Image Denoising Based on Siamese Neural Network. 2390-2394 - Jialun Wu, Kaiwen Tang, Haichuan Zhang, Chunbao Wang, Chen Li:
Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network. 2395-2402 - Yating Li, Jingfan Fan, Danni Ai, Hong Song, Yongtian Wang, Jian Yang:
A General Endoscopic Image Enhancement Method Based on Pre-trained Generative Adversarial Networks. 2403-2408 - Zhijing Li, YangYang Lan, Saikat Chatterjee, Pargorn Puttapirat, Xiangrong Zhang, Chen Li:
Dual sentence representation model integrating prior knowledge for bio-text-mining. 2409-2416 - Abdullah Al Mamun, Wenrui Duan, Ananda Mohan Mondal:
Pan-cancer Feature Selection and Classification Reveals Important Long Non-coding RNAs. 2417-2424 - Abdullah Al Mamun, Masrur Sobhan, Raihanul Bari Tanvir, Charles J. Dimitroff, Ananda Mohan Mondal:
Deep Learning to Discover Cancer Glycome Genes Signifying the Origins of Cancer. 2425-2431 - Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi:
EEG Channel Interpolation Using Deep Encoder-decoder Networks. 2432-2439 - Anukriti Singh, Wooyoung Kim:
Detection of diabetic blindness with Deep-Learning. 2440-2447 - Tuan Tran, Chinwe Ekenna:
Protein Binding Pose Prediction via Conditional Variational Autoencoding for Plasmodium Falciparum. 2448-2455 - Zhibo Yang, Yanan Yang, Yunzhe Xue, Frank Y. Shih, Justin W. Ady, Usman Roshan:
Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks. 2456-2460 - Hao Fang, Cheng Shi, Chi-Hua Chen:
BioExpDNN: Bioinformatic Explainable Deep Neural Network. 2461-2467 - Chenguang Gao, Zhao Li, Hiroki Ora, Yoshihiro Miyake:
Improving Error Related Potential Classification by using Generative Adversarial Networks and Deep Convolutional Neural Networks. 2468-2476 - Yufan Guo, Rong Fei, Kuan Zhang, Yu Tang, Bo Hu:
Developing a Clustering Structure with Consideration of Cross-Domain Text Classification based on Deep Sparse Auto-encoder. 2477-2483 - Chao Jiang, Xingsi Xue:
Matching Biomedical Ontologies with Long Short-Term Memory Networks. 2484-2489 - Jie Li, Chenghu Tang, Deyan Sun:
A Method on Face Recognition Based on Single Sample Per Person with a Contaminated Biometric Enrolment Database. 2490-2497 - Arslan Manzoor, Qiao Pan, Hadiqa Jalil Khan, Shahbaz Siddeeq, Hafiz Muhammd Ali Bhatti, Mulubrhan Ayalew Wedagu:
Analysis and Detection of Lung Sounds Anomalies Based on NMA-RNN. 2498-2504 - Yannis Pantazis, Christos Tselas, Kleanthi Lakiotaki, Vincenzo Lagani, Ioannis Tsamardinos:
Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions. 2505-2512 - Javier Sastre, Faisal Zaman, Noirin Duggan, Caitlin McDonagh, Paul Walsh:
A Deep Learning Knowledge Graph Approach to Drug Labelling. 2513-2521 - Peng Su, K. Vijay-Shanker:
Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism. 2522-2529 - Zeenat Tariq, Sayed Khushal Shah, Yugyung Lee:
Multimodal Lung Disease Classification using Deep Convolutional Neural Network. 2530-2537 - Lei Wang, Chunhong Chang, Benli Hao, Chunxiang Liu:
Multi-modal Medical Image Fusion Based on GAN and the Shift-Invariant Shearlet Transform. 2538-2543 - Shengzhi Wang, Shuo Xiao, Zhenzhen Huang, Zhiou Xu, Wei Chen:
Improved One-Dimensional Convolutional Neural Networks for Human Motion Recognition. 2544-2547 - Jie Wu, Yibo Hu, Biyue Fan, Wei Chen, Deyan Sun:
Using nonlinear sparse Bayesian learning model to identify the correlation between multiple clinical cognitive scores and neuroimaging measurements. 2548-2553 - Jie Wu, Jiawei Xu, Wei Chen, Deyan Sun:
The group sparse canonical correlation analysis method in the imaging genetics research. 2554-2557 - Abdulrhman Aljouie, Yunzhe Xue, Meiyan Xie, Usman Roshan:
Challenges in predicting glioma survival time in multi-modal deep networks. 2558-2562 - Raymond Anden, Erik Linstead:
Predicting eye movement and fixation patterns on scenic images using Machine Learning for Children with Autism Spectrum Disorder. 2563-2569 - Siteng Chen, Ao Li, Janet Roveda:
Sequence-level Supervised Deep Neural Networks for Mitosis Event Detection in Time-Lapse Microscopy Images. 2570-2571 - Hisham G. Daoud, Magdy A. Bayoumi:
A Convolutional Gated Recurrent Neural Network for Seizure Onset Localization. 2572-2576 - Carmela Comito, Deborah Falcone, Agostino Forestiero:
Current Trends And Practices In Smart Health Monitoring And Clinical Decision Support. 2577-2584 - Ruiquan Ge, Xiaomao Fan, Pu Wang:
Prediction of anticancer peptides with dictionary learning method. 2585-2589 - Georgios Giarmatzis, Evangelia I. Zacharaki, Konstantinos Moustakas:
Neural network based prediction of knee contact forces for different gait speeds. 2590-2595 - Zhihua Guo, Enli Fu, Jing Pan, Xiaowei Zhang, Bin Hu:
Anxiety Detection with Nonlinear Group Correlation Fusion of Electroencephalogram and Eye Movement. 2596-2602 - Keyuan Jiang, Liyuan Huang, Tingyu Chen, Gelareh Karbaschi, Dingkai Zhang, Gordon R. Bernard:
Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids. 2603-2609 - Michael T. Lash, W. Nick Street:
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification. 2610-2617 - Jinpeng Li, Hao Chen, Ting Cai:
FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition. 2618-2625 - Jose F. Carreño, Peng Qiu:
Feature selection algorithms for predicting preeclampsia: A comparative approach. 2626-2631 - Ashery Mbilinyi, Heiko Schuldt:
Cross-Modality Medical Image Retrieval with Deep Features. 2632-2639 - Chérubin Mugisha, Incheon Paik:
Pneumonia Outcome Prediction Using Structured And Unstructured Data From EHR. 2640-2646 - Surya Sharma, Adam W. Hoover:
The Challenge of Metrics in Automated Dietary Monitoring as Analysis Transitions from Small Data to Big Data. 2647-2653 - Truong X. Tran, Chang-kwon Kang, Shannon L. Mathis:
Lower-Gait Tracking Mobile Application: A Case Study of Lower body Motion Capture Comparison Between Vicon T40 System and Apple Augmented Reality. 2654-2656 - Gamze Uslu, Sebnem Baydere, Ata Tekin, Feryal Subasi:
Accelerometer based classification of elbow flexion and extension exercises. 2657-2663 - Shuai Wang:
SeqMed: Recommending Medication Combination with Sequence Generative Adversarial Nets. 2664-2671 - Yunfeng Wang, Xiaoqin Tang, Jingchuan Fan, Guoqiang Xiao:
Weakly Supervised Instance Segmentation of SEM Image via Synthetic Data. 2672-2679 - Meiyan Xie, Yunzhi Li, Yunzhe Xue, Lauren Huntress, William Beckerman, Saum A. Rahimi, Justin W. Ady, Usman Roshan:
Vessel lumen segmentation in carotid artery ultrasounds with the U-Net convolutional neural network. 2680-2684 - Haozhen Zhang, Wei Zhao, Shuang Liu:
SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification. 2685-2691 - William de Souza Barbosa, Guilherme P. Temporão, Marco A. Meggiolaro:
Human Arm Stabilization and Rehabilitation using Intelligent Control Techniques. 2692-2697 - Hafiz Muhammd Ali Bhatti, Jiyun Li, Shahbaz Siddeeq, Abdul Rehman, Arslan Manzoor:
Multi-detection and Segmentation of Breast Lesions Based on Mask RCNN-FPN. 2698-2704 - Frederick G. Booth, Kieran McGlade, Maurice D. Mulvenna, Debbie Rankin, Raymond R. Bond, Jonathan G. Wallace:
Examining the Effect of General Practitioner Practice Size on Prescribing Behaviours in Northern Ireland. 2705-2708 - David Candelero, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, Guilherme Botazzo Rozendo, Leandro Alves Neves:
Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images. 2709-2716 - Iván Carrera, Inês Dutra, Eduardo Tejera:
A Representation Method for Cellular Lines based on SVM and Text Mining. 2717-2723 - Lang Chen, Yangmin Huang, Bin Liao, Kun Nie, Shoubin Dong, Jinlong Hu:
Graph Learning Approaches for Graph with Noise: Application to Disease Prediction in Population Graph. 2724-2729 - Xianjiang Chen, Huiru Zheng, Hai-Ying Wang, Tianhai Yan:
Bayesian Network Approach to Modelling Nitrogen Utilization Efficiency of Dairy Cows. 2730-2736 - Saiteja Danda, Akram Vasighizaker, Luis Rueda:
Unsupervised Identification of SARS-CoV-2 Target Cell Groups via Nonlinear Dimensionality Reduction on Single-cell RNA-Seq Data. 2737-2744 - Juliana Paula Felix, Hugo Alexandre Dantas do Nascimento, Nilza Nascimento Guimarães, Eduardo Di Oliveira Pires, Gabriel da Silva Vieira, Wanderley de Souza Alencar:
An Effective and Automatic Method to Aid the Diagnosis of Amyotrophic Lateral Sclerosis Using One Minute of Gait Signal. 2745-2751 - Kevin Gagnon, Tami L. Crawford, Jihad S. Obeid:
Comparison of Convolutional Neural Network Architectures and their Influence on Patient Classification Tasks Relating to Altered Mental Status. 2752-2756 - Xiangguo Li, Weitong Guo, Hongwu Yang:
Depression severity prediction from facial expression based on the DRR_DepressionNet network. 2757-2764 - Xiaocao Hu, Haoyang Wu, Yuxin Liu:
Prediction of lncRNA-disease associations based on matrix factorization and neural network. 2765-2770 - Cai W. John, Wellington Muchero, Scott J. Emrich:
Extreme Phenotype Sampling Improves LASSO and Random Forest Marker Selection for Complex Traits. 2771-2778 - Hehuan Ma, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun, Junzhou Huang:
Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning. 2779-2784 - Mohammad Hamed Mozaffari, Noriko Yamane, Won-Sook Lee:
Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours. 2785-2792 - Amin Naemi, Marjan Mansourvar, Thomas Schmidt, Uffe Kock Wiil:
Prediction of Patients Severity at Emergency Department Using N and Ensemble Learning ARX. 2793-2799 - Fedor Pavlov, Maria Poptsova:
Recognition of DNA Secondary Structures as Nucleosome Barriers with Deep Learning Methods. 2800-2805 - Harun Pirim, Miaolin Fan, Haifeng Wang:
Brain Functional Connectivity Pattern Recognition for Attention-deficit/hyperactivity Disorder Diagnosis. 2806-2811 - Shiva Shamloo, Qing Ye, Gregory Butler:
TportHMM: Predicting the substrate class of transmembrane transport proteins using profile Hidden Markov Models. 2812-2817 - Adriano Barbosa-Silva, Dalí F. D. dos Santos, Thaína A. A. Tosta, Alessandro Santana Martins, Leandro Alves Neves, Bruno A. N. Travençolo, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento:
Segmentation of Oral Epithelial Dysplasias Employing Mask R-CNN and Color Normalization. 2818-2824 - Shraddha Surana, Digvijay Gunjal, Divye Singh, Pooja Arora, Jayaraman K. Valadi:
Alphabet reduction and distributed vector representation based method for classification of antimicrobial peptides. 2825-2832 - Jaqueline Junko Tenguam, Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, Alessandro Santana Martins, Leandro Alves Neves:
Multidimensional and multiscale Higuchi dimension for the analysis of colorectal histological images. 2833-2839 - Ahsan Bin Tufail, Yong-Kui Ma, Qiu-Na Zhang, Lei Zhao:
Joint Multiclass Classification of the subjects of Alzheimer's and Parkinson's Diseases through Neuroimaging Modalities and Convolutional Neural Networks. 2840-2846 - Yinyan Wang, Kuo Yang, Zixin Shu, Dengying Yan, Xuezhong Zhou:
Network-based gene prediction for TCM symptoms. 2847-2854 - Mengyuan Wang, Haiying Wang, Huiru Zheng, Richard J. Dewhurst, Rainer Roehe:
A multilayer co-occurrence network reveals the systemic difference of diet-based rumen microbiome associated with methane yield phenotype. 2855-2860 - Wen Yang, Mingquan Zhou, Pengyue Lin, Guohua Geng, Xiaoning Liu, Kang Li:
Ancestry Estimation of Skull in Chinese Population Based on Improved Convolutional Neural Network. 2861-2867 - Jonathan Weyhenmeyer, Manuel E. Hernandez, Claudia Lainscsek, Howard Poizner, Terrence J. Sejnowski:
Multimodal classification of Parkinson's disease using delay differential analysis. 2868-2875 - Femi William, Ramazan Aygun, Feng Zhu:
ERP Template Matching for EEG Single Trial Classification. 2876-2883 - Yunshuang Xiao, Shuyu Chen:
RBFACO: A New Feature Selection Algorithm. 2884-2890 - Jianrong Yan, Yanan Li, Min Zhu:
miTarDigger: A Fusion Deep-learning Approach for Predicting Human miRNA Targets. 2891-2897 - Shuzhen Zheng, Chang Lei, Tao Wang, Chunyun Wu, Jieqiong Sun, Hong Peng:
Feature-level Fusion for Depression Recognition Based on fNIRS Data. 2898-2905 - Shuzhen Zheng, Chang Lei, Tao Wang, Chunyun Wu, Jieqiong Sun, Hong Peng:
Feature-level Fusion for Depression Recognition Based on fNIRS Data. 2906-2913 - Itziar Gonzalez-Moro, Izortze Santin:
A T1D-associated lncRNA modulates the type I interferon signaling and the antiviral response in pancreatic beta cells. 2914-2917 - Yile Huang, Yulong Qiao, Yu Zhao, Yingzhe Ding, Jie Yuan, Jiajian Zhou, Huating Wang, Hao Sun:
RNA binding proteins (RBPs) regulate lncRNA nuclear retention. 2918-2919 - Jason Rafe Miller, Donald A. Adjeroh:
Exploring Neural Network Models for LncRNA Sequence Identification. 2920-2927 - Jian Shi:
Predicted Regulatory Pathways for Long Noncoding RNA-SNHG7 via miR-34a and its Targets in Alzheimer's Disease. 2928-2935 - Lina Zhu, Xin Wang:
Integrative network analysis identified master regulatory long non-coding RNAs underlying the squamous subtype of pancreatic ductal adenocarcinoma. 2936-2942 - Shabnam Ataee, Óscar Rodríguez, Xavier Brochet, Carlos Andrés Peña:
Towards BacterioPhage Genetic Edition: Deep Learning Prediction of Phage-Bacterium Interactions. 2946-2948 - Mohamed Emam, Amna Ali, Eman Abdelrazik, Mustafa Elattar, Mohamed El-Hadidi:
Detection of Mammalian Coding Sequences Using a Hybrid Approach of Chaos Game Representation and Machine Learning. 2949-2951 - Pascal Fechner, Jannik Lockl, Nicolas Ruhland, Tristan Zürl, Till Zwede:
A Model for Predicting the Amount of Urine in the Bladder Based on App-generated Tracking Data. 2952-2954 - Franklin Fuchs, Omar Kamal, Hanao Li, Mihye Ahn, So Young Ryu:
Pediatric Patient Traumatic Brain Injury Prediction1. 2955-2957 - Xiangyu Gao, Jinhe Shi, Wenjin Chen, Nancy Sazo, Huiqi Chu, Evita T. Sadimin, David J. Foran, Yi Chen:
CBEx: A Hybrid Approach for Cancer Biomarker Extraction. 2958 - Jiabo Chen, Qing Guo, Zixun Jiang, Huaqing Wang, Mingan Yu, Ying Wei:
Recognition of Hyperparathyroidism based on Transfer Learning. 2959-2961 - Noriyasu Homma, Kyohei Noro, Xiaoyong Zhang, Yutaro Kon, Kei Ichiji, Ivo Bukovsky, Akiko Sato, Naoko Mori:
Human ability enhancement for reading mammographic masses by a deep learning technique. 2962-2964 - Emmette R. Hutchison, Youyi Zhang, Sreenath Nampally, James Weatherall, Faisal M. Khan, Khader Shameer:
Uncovering Machine Learning-Ready Data from Public Clinical Trial Resources: A case-study on normalization across Aggregate Content of ClinicalTrials.gov. 2965-2967 - Hwa-Rang Kim, Kwang-Ju Kim, Kil-Taek Lim, Doo-Hyun Choi:
Colorectal Cancer Image Segmentation and Classification with Deep Neural Network Based on Information Theory. 2968-2970 - Marko Lakic, Bazen Zenebe Nega, Wooyoung Kim:
Web-QuateXelero: Web-based efficient network motif detection tool. 2971-2973 - Jamie Lea, Sharlee Climer:
A Search and Filter Strategy for Identifying Differentially Co-Expressed Analyte Modules. 2974-2976 - Mingyan Li, Cheng Ling:
The Likelihood Prediction of Phylogenetic Trees based on Artificial Neural Network: a new perspective and preliminary attempt. 2977-2979 - Nan Liu, Chuan Wang, Xinyu Miao, Hua Bai, Yunan Wang, Limin Yang, Yiming Lei, Wei Zhang, Hong Wang:
A New Data Visualization and Digitization Method for Building Electronic Health Record. 2980-2982 - Hirotaka Matsumoto, Shima Okada, Tianyi Wang, Masaaki Makikawa:
Sleep Stage Estimation Using ECG. 2983 - Geumkyung Nah, Jiwon Kim, Eun-A. Choi, Jeom Kyu Lee, Woojin Kim, Kwangha Yoo, Dankyu Yoon:
Genome-wide association study identified genetic variants associated with severity of COPD in Korean participants. 2984-2986 - Tejal Nair, Ali Foroughi Pour, Jeffrey H. Chuang:
The effect of blurring on lung cancer subtype classification accuracy of convolutional neural networks. 2987-2989 - Masrur Sobhan, Abdullah Al Mamun, Raihanul Bari Tanvir, Mario Jacas Alfonso, Pablo Valle, Ananda Mohan Mondal:
Deep Learning to Discover Genomic Signatures for Racial Disparity in Lung Cancer. 2990-2992 - Kathan Vyas, Ali Samadani, Mladen Milosevic, Sarah Ostadabbas, Saman Parvaneh:
Additional Value of Augmenting Current Subscales in Braden Scale with Advanced Machine Learning Technique for Pressure Injury Risk Assessment. 2993-2995 - Aiguo Wang, Huancheng Liu, Jinjun Liu, Huitong Ding, Jing Yang, Guilin Chen:
Stable and Accurate Feature Selection from Microarray Data with Ensembled Fast Correlation Based Filter. 2996-2998 - Bofei Wang, Jonathon Mohl, Ming-Ying Leung:
Computational Prediction of Functional Effects for Cancer Related Genetic Sequence Variants. 2999-3001 - Hao Wei, Ai Zhou, Yijia Zhang, Fei Chen, Wen Qu, Mingyu Lu:
A hierarchical knowledge-aware neural network for protein-protein interaction article classification. 3002-3004 - Zhidong Wu, Lou Chitkushev, Guanglan Zhang:
A Review of Telemedicine in time of COVID-19. 3005-3007 - Yan Wang, Hao Qi, Zhengzheng Huang:
Analysis of TCM prescription rule of stroke based on FP-growth algorithm. 3008-3010 - Motoki Yoshihi, Shima Okada, Tianyi Wang, Masaaki Makikawa:
Sleep Stages Discrimination by Head Motion. 3011 - Zhi Zheng, Ben He:
Constructing a Relevance-oriented Dataset for Training Transformer Rankers for Medical Search. 3012-3016 - Giuseppe Tradigo, Pietro Hiram Guzzi, Tamer Kahveci, Pierangelo Veltri:
A method to assess COVID-19 infected numbers in Italy during peak pandemic period. 3017-3020
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