default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Journal of Biomedical and Health Informatics, Volume 29
Volume 29, Number 1, January 2025
- Duc Huy Nguyen
, Paul Chang-Po Chao, Hiu Fai Yan, Tse-Yi Tu, Chin-Hung Cheng, Tan-Phat Phan:
Predicting Blood Pressures for Pregnant Women by PPG and Personalized Deep Learning. 5-16 - Chih-Wei Tseng, Bing-Fei Wu, Yu Sun:
A Real-Time Contact-Free Atrial Fibrillation Detection System for Mobile Devices. 17-29 - Muhammad Hameed Siddiqi, Irshad Ahmad, Yousef Alhwaiti, Faheem Khan:
Facial Expression Recognition for Healthcare Monitoring Systems Using Neural Random Forest. 30-42 - Zijun Wei, Meiju Li, Zhiqiang Zhang, Sheng Quan Xie:
Continuous Prediction of Wrist Joint Kinematics Using Surface Electromyography From the Perspective of Muscle Anatomy and Muscle Synergy Feature Extraction. 43-55 - Eugenio Lomurno, Simone Toffoli, Davide Di Febbo, Matteo Matteucci, Francesca Lunardini, Simona Ferrante:
Age Group Discrimination via Free Handwriting Indicators. 56-67 - Wujing Cao, Changyu Li, Lijun Yang, Meng Yin, Chunjie Chen, Worawarit Kobsiriphat, Thanak Utakapan, Yizhuang Yang, Haoyong Yu, Xinyu Wu:
A Fusion Network With Stacked Denoise Autoencoder and Meta Learning for Lateral Walking Gait Phase Recognition and Multi-Step-Ahead Prediction. 68-80 - Hong Wang, Zakir Ullah, Eran Gazit, Marina Brozgol, Tian Tan, Jeffrey M. Hausdorff, Peter B. Shull, Penina Ponger:
Step Width Estimation in Individuals With and Without Neurodegenerative Disease via a Novel Data-Augmentation Deep Learning Model and Minimal Wearable Inertial Sensors. 81-94 - Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A Human-in-the-Loop Method for Annotation of Events in Biomedical Signals. 95-106 - Sara García de Villa, Luisa Ruiz-Ruiz, Guillermo García-Villamil Neira, Marta Neira-Álvarez, Elisabet Huertas-Hoyas, Antonio J. del Ama, Maria Cristina Rodriguez-Sánchez, Fernando Seco, Antonio Ramón Jiménez:
Validation of an IMU-Based Gait Analysis Method for Assessment of Fall Risk Against Traditional Methods. 107-117 - Zheng Zeng, Linkai Tao, Ruizhi Su, Adili Tuheti, Hao Huang, Chen Chen, Wei Chen:
Residual Self-Calibrated Network With Multi-Scale Channel Attention for Accurate EOG-Based Eye Movement Classification. 118-127 - Eleni Vasileiou, Sofia B. Dias, Stelios Hadjidimitriou, Vasileios S. Charisis, Nikolaos Karagkiozidis, Stavros Malakoudis, Patty de Groot, Stelios Andreadis, Vassilis Tsekouras, Georgios Apostolidis, Anastasia Matonaki, Thanos G. Stavropoulos, Leontios J. Hadjileontiadis:
Novel Digital Biomarkers for Fine Motor Skills Assessment in Psoriatic Arthritis: The DaktylAct Touch-Based Serious Game Approach. 128-141 - Sazid Hasan, Aida Brankovic, Md. Abdul Awal, Sasan Ahdi Rezaeieh, Shelley E. Keating, Amin M. Abbosh, Ali Zamani:
HepNet: Deep Neural Network for Classification of Early-Stage Hepatic Steatosis Using Microwave Signals. 142-151 - Fuze Tian, Haojie Zhang, Yang Tan, Lixian Zhu, Lin Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An On-Board Executable Multi-Feature Transfer-Enhanced Fusion Model for Three-Lead EEG Sensor-Assisted Depression Diagnosis. 152-165 - Jiaming Chen, Xueling Zhou, Lei Feng, Bingo Wing-Kuen Ling, Lianyi Han, Hongtao Zhang:
rU-Net, Multi-Scale Feature Fusion and Transfer Learning: Unlocking the Potential of Cuffless Blood Pressure Monitoring With PPG and ECG. 166-176 - Eun-Bin Park, Youngjoo Lee:
mDARTS: Searching ML-Based ECG Classifiers Against Membership Inference Attacks. 177-187 - Mohammed A. A. Al-qaness, Sike Ni:
TCNN-KAN: Optimized CNN by Kolmogorov-Arnold Network and Pruning Techniques for sEMG Gesture Recognition. 188-197 - Jing Jin, Weijie Chen, Ren Xu, Wei Liang, Xiao Wu, Xinjie He, Xingyu Wang, Andrzej Cichocki:
Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces. 198-209 - Renjie Lv, Wenwen Chang, Guanghui Yan, Wenchao Nie, Lei Zheng, Bin Guo, Muhammad Tariq Sadiq:
A Novel Recognition and Classification Approach for Motor Imagery Based on Spatio-Temporal Features. 210-223 - Xiao Li, Zhuowei Yang, Xikai Tu, Jun Wang, Jian Huang:
MFRC-Net: Multi-Scale Feature Residual Convolutional Neural Network for Motor Imagery Decoding. 224-234 - Baolian Shan, Haiqing Yu, Yongzhi Huang, Minpeng Xu, Dong Ming:
Interpretable Multi-Branch Architecture for Spatiotemporal Neural Networks and Its Application in Seizure Prediction. 235-247 - Sanqian Li, Risa Higashita, Huazhu Fu, Bing Yang, Jiang Liu:
Score Prior Guided Iterative Solver for Speckles Removal in Optical Coherent Tomography Images. 248-258 - Duy-Phuong Dao, Hyung-Jeong Yang, Jahae Kim, Ngoc-Huynh Ho:
Longitudinal Alzheimer's Disease Progression Prediction With Modality Uncertainty and Optimization of Information Flow. 259-272 - Miaomiao Cai, Xiaoyu Liu, Zhiwei Xiong, Xuejin Chen:
BioSAM: Generating SAM Prompts From Superpixel Graph for Biological Instance Segmentation. 273-284 - Lin Zhang, Wenzong Li, Kaiyue Bi, Pei Li, Liang Zhang, Hui Liu:
FDDSeg: Unleashing the Power of Scribble Annotation for Cardiac MRI Images Through Feature Decomposition Distillation. 285-296 - Yupeng Cheng, Qing Guo, Felix Juefei-Xu, Huazhu Fu, Shangwei Lin, Weisi Lin:
Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading. 297-309 - Jiale Dun, Jun Wang, Juncheng Li, Qianhui Yang, Wenlong Hang, Xiaofeng Lu, Shihui Ying, Jun Shi:
A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification. 310-323 - Jinwei Liu, Yashu Xu, Yi Liu, Huating Luo, Wenxiang Huang, Lizhong Yao:
Attention-Guided 3D CNN With Lesion Feature Selection for Early Alzheimer's Disease Prediction Using Longitudinal sMRI. 324-332 - Ching-Wei Wang, Kai-Lin Chu, Ting-Sheng Su, Keng-Wei Liu, Yi-Jia Lin, Tai-Kuang Chao:
Automated Quantification of HER2 Amplification Levels Using Deep Learning. 333-344 - Tao Deng, Yi Huang, Chengfan Yang:
Parallel Multi-Path Network for Ocular Disease Detection Inspired by Visual Cognition Mechanism. 345-357 - Jun-En Ding, Shihao Yang, Anna Zilverstand, Kaustubh R. Kulkarni, Xiaosi Gu, Feng Liu:
Spatial Craving Patterns in Marijuana Users: Insights From fMRI Brain Connectivity Analysis With High-Order Graph Attention Neural Networks. 358-370 - Yukang Sun, Shujun Zhang, Jinsong Li, Qi Han, Yuhua Qin:
CAISeg: A Clustering-Aided Interactive Network for Lesion Segmentation in 3D Medical Imaging. 371-382 - Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu, Minfeng Xu:
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies With Query Embedding. 383-395 - Yushan Zheng, Kun Wu, Jun Li, Kunming Tang, Jun Shi, Haibo Wu, Zhiguo Jiang, Wei Wang:
Partial-Label Contrastive Representation Learning for Fine-Grained Biomarkers Prediction From Histopathology Whole Slide Images. 396-408 - Yocheved Loewenstern, Noa Benaroya-Milshtein, Katya Belelovsky, Izhar Bar-Gad:
Automatic Identification of Facial Tics Using Selfie-Video. 409-419 - Tong Wang, Su-Jin Shin, Mingkang Wang, Qi Xu, Guiyang Jiang, Fengyu Cong, Jeonghyun Kang, Hongming Xu:
Multi-Task Adaptive Resolution Network for Lymph Node Metastasis Diagnosis From Whole Slide Images of Colorectal Cancer. 420-432 - Hengyang Liu, Pengcheng Ren, Yang Yuan, Chengyun Song, Fen Luo:
Uncertainty Global Contrastive Learning Framework for Semi-Supervised Medical Image Segmentation. 433-442 - Juan Pedro Dominguez-Morales, Juan-Carlos Hernández-Rodríguez, Lourdes Duran-Lopez, Julián Conejo-Mir, José-Juan Pereyra-Rodriguez:
Melanoma Breslow Thickness Classification Using Ensemble-Based Knowledge Distillation With Semi-Supervised Convolutional Neural Networks. 443-455 - Yunwei Chen, Jialong Li, Qiqi Lu, Ye Wu, Xiaoming Liu, Yuanyuan Gao, Yanqiu Feng, Zhicheng Zhang, Xinyuan Zhang:
Spherical Harmonics-Based Deep Learning Achieves Generalized and Accurate Diffusion Tensor Imaging. 456-467 - Xiaoxi Tian, Hao Ma, Yun Guan, Le Xu, Jiangcong Liu, Lixia Tian:
Transformer3: A Pure Transformer Framework for fMRI-Based Representations of Human Brain Function. 468-481 - Haiting Mao, Yuhui Ma, Dan Zhang, Yanda Meng, Shaodong Ma, Yuchuan Qiao, Huazhu Fu, Caifeng Shan, Da Chen, Yitian Zhao, Jiong Zhang:
$\text{MR}^{2}$-Net: Retinal OCTA Image Stitching via Multi-Scale Representation Learning and Dynamic Location Guidance. 482-494 - Qi Zou, Junliang Shang, Jin-Xing Liu, Rui Gao:
BIGFormer: A Graph Transformer With Local Structure Awareness for Diagnosis and Pathogenesis Identification of Alzheimer's Disease Using Imaging Genetic Data. 495-506 - Jiahao Liu, Hongqing Zhu, Ziying Wang, Ning Chen, Tong Hou, Bingcang Huang, Weiping Lu, Ying Wang, Suyi Yang:
DCTP-Net: Dual-Branch CLIP-Enhance Textual Prompt-Aware Network for Acute Ischemic Stroke Lesion Segmentation From CT Image. 507-520 - Shukai Yang, Xiaoqian Zhang, Youdong He, Yufeng Chen, Ying Zhou:
TBE-Net: A Deep Network Based on Tree-Like Branch Encoder for Medical Image Segmentation. 521-534 - Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Fang Xie, Qihao Guo, Dinggang Shen:
A Modality-Flexible Framework for Alzheimer's Disease Diagnosis Following Clinical Routine. 535-546 - Xi Li, Ying Tan, Bocheng Liang, Bin Pu, Jiewen Yang, Lei Zhao, Yanqing Kong, Lixian Yang, Rentie Zhang, Hao Li, Shengli Li:
TKR-FSOD: Fetal Anatomical Structure Few-Shot Detection Utilizing Topological Knowledge Reasoning. 547-557 - Yifei Chen, Zhu Zhu, Shenghao Zhu, Linwei Qiu, Binfeng Zou, Fan Jia, Yunpeng Zhu, Chenyan Zhang, Zhaojie Fang, Feiwei Qin, Jin Fan, Changmiao Wang, Gang Yu, Yu Gao:
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms. 558-571 - Elham Mottaghi, Mohammad-R. Akbarzadeh-T.:
Fuzzy Synchronization Likelihood Graph in Deep Neural Networks for Human Motion Time Series Analysis. 572-582 - Xi Chen, Jiaao Yan, Sichao Qin, Pengfei Li, Shuangqian Ning, Yuting Liu:
Fall Detection Method Based on a Human Electrostatic Field and VMD-ECANet Architecture. 583-595 - Romero F. A. B. de Morais, Truyen Tran, Caroline Alexander, Natasha Amery, Catherine Morgan, Alicia J. Spittle, Vuong Le, Nadia Badawi, Alison Salt, Jane Valentine, Catherine Elliott, Elizabeth M. Hurrion, Paul A Dawson, Svetha Venkatesh:
Fine-Grained Fidgety Movement Classification Using Active Learning. 596-607 - Hongmin Cai, Ranran Deng, Defu Yang, Fa Zhang, Guorong Wu, Jiazhou Chen:
Harmonic Wavelet Neural Network for Discovering Neuropathological Propagation Patterns in Alzheimer's Disease. 608-619 - Michael Reiter, Franz Pernkopf:
Acoustic COVID-19 Detection Using Multiple Instance Learning. 620-630 - Hongfei Yang, Jiangeng Chang, Wenbo He, Caitlin Fern Wee, John Soong Tshon Yit, Mengling Feng:
Frailty Modeling Using Machine Learning Methodologies: A Systematic Review With Discussions on Outstanding Questions. 631-642 - Xin Hong, Weimao Wang, Sunjie Yan, Ximei Shen, Yongze Zhang, Xiaoyan Ye:
Related Factors Mining of Diabetes Complications Based on Manifold-Constrained Multi-Label Feature Selection. 643-656 - Lan Huang, Nan Sheng, Ling Gao, Lei Wang, Wenju Hou, Jie Hong, Yan Wang:
Self-Supervised Contrastive Learning on Attribute and Topology Graphs for Predicting Relationships Among lncRNAs, miRNAs and Diseases. 657-668 - Dilbag Singh, Ahmad Ali AlZubi, Manjit Kaur, Vijay Kumar, Heung-No Lee:
Deep Drug Synergy Prediction Network Using Modified Triangular Mutation-Based Differential Evolution. 669-678 - Jie Ni, Donghui Yan, Shan Lu, Zhuoying Xie, Yun Liu, Xin Zhang:
MiRS-HF: A Novel Deep Learning Predictor for Cancer Classification and miRNA Expression Patterns. 679-689 - Wentao Cui, Qingqing Long, Wenhao Liu, Chen Fang, Xuezhi Wang, Pengfei Wang, Yuanchun Zhou:
Hierarchical Graph Transformer With Contrastive Learning for Gene Regulatory Network Inference. 690-699 - Xuan Zang, Junjie Zhang, Buzhou Tang:
Self-Supervised Molecular Representation Learning With Topology and Geometry. 700-710 - Lihong Peng, Zongzheng Bai, Longlong Liu, Long Yang, Xin Liu, Min Chen, Xing Chen:
DTI-MvSCA: An Anti-Over-Smoothing Multi-View Framework With Negative Sample Selection for Predicting Drug-Target Interactions. 711-723 - Yan Zhao, Junliang Shang, Baojuan Qin, Limin Zhang, Xin He, Daohui Ge, Qianqian Ren, Jin-Xin Liu:
pscAdapt: Pre-Trained Domain Adaptation Network Based on Structural Similarity for Cell Type Annotation in Single Cell RNA-seq Data. 724-732
Volume 29, Number 2, February 2025
- María Fernanda Cabrera-Umpiérrez, Tayo Obafemi-Ajayi, Ahmed Metwally, Bobak J. Mortazavi:
Guest Editorial: Deep Medicine and AI for Health. 737-740 - Lin Ge, Xinming An, Donglin Zeng, Samuel A. McLean, Ronald C. Kessler, Rui Song:
Continuous-Time Hidden Markov Factor Model for Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae. 741-749 - Praveen Kumar, Fariha Moomtaheen, Scott A. Malec, Jeremy J. Yang, Cristian Bologa, Kristan Alexander Schneider, Yiliang Zhu, Mauricio Tohen, Gerardo Villarreal, Douglas J. Perkins, Elliot M. Fielstein, Sharon E. Davis, Michael E. Matheny, Christophe G. Lambert:
Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning. 750-757 - Shuqiong Wu, Tomoya Noguchi, Fumio Okura, Yasushi Yagi:
Predicting Future Cognitive Decline From Long-Term Observations of Dual-Task Performance Data. 758-766 - Xiangsen Zhang, Longfei Han, Chenchu Xu, Zhaohui Zheng, Jin Ding, Xianghui Fu, Dingwen Zhang, Junwei Han:
MHKD: Multi-Step Hybrid Knowledge Distillation for Low-Resolution Whole Slide Images Glomerulus Detection. 767-774 - Elena Idi, Francesco Prendin, Giovanni Sparacino, Simone Del Favero:
Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes Treatment. 775-782 - Antonio Mendoza, Sebastian Tume, Kriti Puri, Sebastian Acosta, Joseph R. Cavallaro:
Clinical Features and Physiological Signals Fusion Network for Mechanical Circulatory Support Need Prediction in Pediatric Cardiac Intensive Care Unit. 783-791 - Muhammad Sohaib, Siyavash Shabani, Sahar A. Mohammed, Bahram Parvin:
3D-Organoid-SwinNet: High-Content Profiling of 3D Organoids. 792-798 - Hongcheng Han, Zhiqiang Tian, Qinbo Guo, Jue Jiang, Shaoyi Du, Juan Wang:
HSC-T: B-Ultrasound-to-Elastography Translation via Hierarchical Structural Consistency Learning for Thyroid Cancer Diagnosis. 799-806 - Eric Ababio Anyimadu, Yaohua Wang, Carla Floricel, Serageldin Kamel, Clifton David Fuller, Xinhua Zhang, G. Elisabeta Marai, Guadalupe Canahuate:
PRO-Based Stratification Improves Model Prediction for Toxicity and Survival of Head and Neck Cancer Patients. 807-814 - Hang Wu, Yuanda Zhu, Wenqi Shi, Li Tong, May D. Wang:
Fairness Artificial Intelligence in Clinical Decision Support: Mitigating Effect of Health Disparity. 815-823 - Chen Bai, Mamoun T. Mardini:
Elucidating the Impact of Community-Level Social Determinants of Health on Pre-Operative Frailty: A Data-Driven Study in Florida. 824-830 - Chun-Kit Chung, Wen-Yang Lin:
ADR-DQPU: A Novel ADR Signal Detection Using Deep Reinforcement and Positive-Unlabeled Learning. 831-839 - Mike Doan, Sergey M. Plis:
Scaling Synthetic Brain Data Generation. 840-847 - Yijiang Zheng, Zhuoxin Long, Boyuan Feng, Ruting Cheng, Khashayar Vaziri, James K. Hahn:
D3BT: Dynamic 3D Body Transformer for Body Fat Percentage Assessment. 848-856 - Behrang Fazli Besheli, Zhiyi Sha, Amir Hossein Ayyoubi, Swamy Chandra Prakash, Thomas R. Henry, Gregory A. Worrell, Kai J. Miller, Jonathon J. Parker, David Darrow, Nuri Firat Ince:
Pseudo-HFOs Elimination in iEEG Recordings Using a Robust Residual-Based Dictionary Learning Framework. 857-869 - Max Möbus, Lars Hauptmann, Nicolas Kopp, Berken Utku Demirel, Björn Braun, Christian Holz:
Nightbeat: Heart Rate Estimation From a Wrist-Worn Accelerometer During Sleep. 870-877 - Cheng Wan, Micky C. Nnamdi, Wenqi Shi, Benjamin Smith, Chad Purnell, May D. Wang:
Advancing Sleep Disorder Diagnostics: A Transformer-Based EEG Model for Sleep Stage Classification and OSA Prediction. 878-886 - Zhilin Li, Xianghe Chen, Jie Li, Zhongfei Bai, Hongfei Ji, Lingyu Liu, Lingjing Jin:
Sequential sEMG Recognition With Knowledge Transfer and Dynamic Graph Network Based on Spatio-Temporal Feature Extraction Network. 887-899 - Fan Wu, Patrick Langer, Jinjoo Shim, Elgar Fleisch, Filipe Barata:
Comparative Efficacy of Commercial Wearables for Circadian Rhythm Home Monitoring From Activity, Heart Rate, and Core Body Temperature. 900-908 - Huiyang Wang, Hongfang Han, John Q. Gan, Haixian Wang:
Lightweight Source-Free Domain Adaptation Based on Adaptive Euclidean Alignment for Brain-Computer Interfaces. 909-922 - Shuai Ren, Xiaohan Wang, Maolin Cai, Yan Shi, Tao Wang, Zujin Luo:
Design of a Multi-Parameter Fusion Sensor and System for Respiratory Monitoring of Mechanically Ventilated Patients in the ICU. 923-934 - Yuxuan Shi, Aimin Jiang, Ju Zhong, Min Li, Yanping Zhu:
Multiclass Classification Framework of Motor Imagery EEG by Riemannian Geometry Networks. 935-947 - Lorena Gallego-Viñarás, Juan Miguel Mira-Tomas, Anna Michela-Gaeta, Gerard Pinol-Ripoll, Ferrán Barbé, Pablo M. Olmos, Arrate Muñoz-Barrutia:
Alzheimer's Disease Detection in EEG Sleep Signals. 948-959 - Fan Wang, Dan Chen, Shenhong Weng, Tengfei Gao, Yiping Zuo, Yuntao Zheng:
EEG Temporal-Spatial Feature Learning for Automated Selection of Stimulus Parameters in Electroconvulsive Therapy. 960-969 - Simon Geirnaert, Yuanyuan Yao, Tom Francart, Alexander Bertrand:
Stimulus-Informed Generalized Canonical Correlation Analysis for Group Analysis of Neural Responses to Natural Stimuli. 970-983 - Dongxu Liu, Qichuan Ding, Chenyu Tong, Jinshuo Ai, Fei Wang:
Incremental Classification for High-Dimensional EEG Manifold Representation Using Bidirectional Dimensionality Reduction and Prototype Learning. 984-995 - Shuo Zhang, Jin Qi, Duidi Wu, Qianyou Zhao, Jie Hu:
Generalized Cross-Domain Framework for Gesture Recognition via Wrist-Worn Sensing. 996-1008 - Muhammad Farooq, Syed Aziz Shah, Dingchang Zheng, Ahmad Taha, Muhammad Ali Imran, Qammer H. Abbasi, Hasan Tahir Abbas:
Contactless Heart Sound Detection Using Advanced Signal Processing Exploiting Radar Signals. 1009-1020 - Clara García-Vicente, Gonzalo C. Gutiérrez-Tobal, Fernando Vaquerizo-Villar, Adrián Martín-Montero, David Gozal, Roberto Hornero:
SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis. 1021-1034 - Qi Teng, Wei Li, Guangwei Hu, Yuanyuan Shu, Yun Liu:
Innovative Dual-Decoupling CNN With Layer-Wise Temporal-Spatial Attention for Sensor-Based Human Activity Recognition. 1035-1048 - Xiaoyu Guo, Subing Huang, Borong He, Chuanlin Lan, Jodie J. Xie, Kelvin Y. S. Lau, Tomohiko Takei, Arthur D. P. Mak, Roy T. H. Cheung, Kazuhiko Seki, Vincent C. K. Cheung, Rosa H. M. Chan:
Inhibitory Components in Muscle Synergies Factorized by the Rectified Latent Variable Model From Electromyographic Data. 1049-1061 - Long-Hao Yang, Fei-Fei Ye, Chris D. Nugent, Jun Liu, Ying-Ming Wang:
Belief-Rule-Based System With Self-Organizing and Multi-Temporal Modeling for Sensor-Based Human Activity Recognition. 1062-1073 - Xunju Ma, Yali Liu, Xiaohui Zhang, Lorenzo Masia, Qiuzhi Song:
Real-Time Continuous Locomotion Mode Recognition and Transition Prediction for Human With Lower Limb Exoskeleton. 1074-1086 - Emiro J. Ibarra, Gabriel E. Galindo, Gabriel A. Alzamendi, Juan P. Cortés, Christian Castro, Rodrigo Manríquez, Alba Testart, Matías Zañartu:
Empirical Distribution of Glottal Edges (EDGE): A Statistical Assessment of Vocal Fold Kinematics Using High-Speed Videoendoscopy. 1087-1100 - Pengxiao Xu, Junyan Lyu, Li Lin, Pujin Cheng, Xiaoying Tang:
LF-SynthSeg: Label-Free Brain Tissue-Assisted Tumor Synthesis and Segmentation. 1101-1112 - Feng Sun, Ying Zhou, Longxiangfeng Hu, Yongyan Li, Dan Zhao, Yufeng Chen, Yu He:
EDSRNet: An Enhanced Decoder Semantic Recovery Network for 2D Medical Image Segmentation. 1113-1124 - Yuanyuan Xu, Hui Yu, Jiliu Zhou, Yan Liu:
Mesh Regression Based Shape Enhancement Operator Designed for Organ Segmentation. 1125-1136 - Jinghui Chu, Wangtao Liu, Qi Tian, Wei Lu:
PFPRNet: A Phase-Wise Feature Pyramid With Retention Network for Polyp Segmentation. 1137-1150 - Nan Bao, Jiaxin Zhang, Zhikun Li, Shiyu Wei, Jiazhen Zhang, Stephen E. Greenwald, John A. Onofrey, Yihuan Lu, Lisheng Xu:
CT-Less Whole-Body Bone Segmentation of PET Images Using a Multimodal Deep Learning Network. 1151-1164 - Mingxiao Tu, Hoijoon Jung, Jinman Kim, Andre Kyme:
Head-Mounted Displays in Context-Aware Systems for Open Surgery: A State-of-the-Art Review. 1165-1175 - Fangrong Zong, Zaimin Zhu, Jiayi Zhang, Xiaofeng Deng, Zhuangzhuang Li, Chuyang Ye, Yong Liu:
Attention-Based Q-Space Deep Learning Generalized for Accelerated Diffusion Magnetic Resonance Imaging. 1176-1188 - Xiaoxiao Li, Taobo Hu, Zhengxiong Li, Mengping Long, Zhaoyi Ye, Jin Huang, Yaxiaer Yalikun, Sheng Liu, Yiqiang Liu, Du Wang, Jianghua Wu, Liye Mei, Cheng Lei:
MRRM: Advanced Biomarker Alignment in Multi-Staining Pathology Images via Multi-Scale Ring Rotation-Invariant Matching. 1189-1198 - Li Zhou, Jie Li, Weilong Tan:
M-NET: Transforming Single Nucleotide Variations Into Patient Feature Images for the Prediction of Prostate Cancer Metastasis and Identification of Significant Pathways. 1199-1208 - Yuhao Du, Yuncheng Jiang, Shuangyi Tan, Si-Qi Liu, Zhen Li, Guanbin Li, Xiang Wan:
Highlighted Diffusion Model as Plug-In Priors for Polyp Segmentation. 1209-1220 - Zaixin Ou, Yongsheng Pan, Fang Xie, Qihao Guo, Dinggang Shen:
Image-and-Label Conditioning Latent Diffusion Model: Synthesizing A$\beta$-PET From MRI for Detecting Amyloid Status. 1221-1231 - Hailin Li, Di Dong, Mengjie Fang, Bingxi He, Shengyuan Liu, Chaoen Hu, Zaiyi Liu, Hexiang Wang, Linglong Tang, Jie Tian:
ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning. 1232-1242 - Mengmeng Wu, Tiantian Liu, Xin Dai, Chuyang Ye, Jinglong Wu, Shintaro Funahashi, Tianyi Yan:
HMDA: A Hybrid Model With Multi-Scale Deformable Attention for Medical Image Segmentation. 1243-1255 - Weiwen Wu, Yifei Long, Zhifan Gao, Guang Yang, Fangxiao Cheng, Jianjia Zhang:
Multi-Level Noise Sampling From Single Image for Low-Dose Tomography Reconstruction. 1256-1268 - Jianning Chi, Jia-hui Chen, Bo Wu, Jin Zhao, Kai Wang, Xiaosheng Yu, Wenjun Zhang, Ying Huang:
A Dual-Branch Cross-Modality-Attention Network for Thyroid Nodule Diagnosis Based on Ultrasound Images and Contrast-Enhanced Ultrasound Videos. 1269-1282 - Taimur Hassan, Hina Raja, Kais Belwafi, Samet Akcay, Mohamed Jleli, Bessem Samet, Naoufel Werghi, Jawad Yousaf, Mohammed Ghazal:
A Vision Language Correlation Framework for Screening Disabled Retina. 1283-1296 - Jiameng Liu, Feihong Liu, Dong Nie, Yuning Gu, Yuhang Sun, Dinggang Shen:
Structure-Aware Brain Tissue Segmentation for Isointense Infant MRI Data Using Multi-Phase Multi-Scale Assistance Network. 1297-1307 - Fang Peng, Hongkuan Shi, Shiquan He, Qiang Hu, Ting Li, Fan Huang, Xinxia Feng, Mei Liu, Jiazhi Liao, Qiang Li, Zhiwei Wang:
Fine-Grained Temporal Site Monitoring in EGD Streams via Visual Time-Aware Embedding and Vision-Text Asymmetric Coworking. 1308-1319 - Jiahui Pan, Yangzuyi Yu, Man Li, Wanxin Wei, Shuyu Chen, Heyi Zheng, Yanbin He, Yuanqing Li:
A Multimodal Consistency-Based Self-Supervised Contrastive Learning Framework for Automated Sleep Staging in Patients With Disorders of Consciousness. 1320-1332 - Sumit Dalal, Deepa Tilwani, Manas Gaur, Sarika Jain, Valerie L. Shalin, Amit P. Sheth:
A Cross Attention Approach to Diagnostic Explainability Using Clinical Practice Guidelines for Depression. 1333-1342 - Yishan Jiang, Hyung-Jeong Yang, Jahae Kim, Zhenzhou Tang, Xiukai Ruan:
Power of Multi-Modality Variables in Predicting Parkinson's Disease Progression. 1343-1356 - Ting Yu, Binhui Ge, Shuhui Wang, Yan Yang, Qingming Huang, Jun Yu:
Consistency Conditioned Memory Augmented Dynamic Diagnosis Model for Medical Visual Question Answering. 1357-1370 - Yan Pei, Jiahui Xu, Feng Yu, Lisan Zhang, Wei Luo:
WaveSleepNet: An Interpretable Network for Expert-Like Sleep Staging. 1371-1382 - Elena Idi, Eleonora Manzoni, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero:
Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management. 1383-1396 - Hoda Nemat, Heydar Khadem, Jackie Elliott, Mohammed Benaissa:
Physical Activity Integration in Blood Glucose Level Prediction: Different Levels of Data Fusion. 1397-1408 - Liangping Ding, Giovanni Colavizza, Zhixiong Zhang:
Partial Annotation Learning for Biomedical Entity Recognition. 1409-1418 - Yuyang Sun, Panagiotis Kosmas:
Integrating Bayesian Approaches and Expert Knowledge for Forecasting Continuous Glucose Monitoring Values in Type 2 Diabetes Mellitus. 1419-1432 - Wenjie Song, Jiqing Han, Shiwen Deng, Tieran Zheng, Guibin Zheng, Yongjun He:
Joint Energy-Based Model for Semi-Supervised Respiratory Sound Classification: A Method of Insensitive to Distribution Mismatch. 1433-1443 - Alexis Burgon, Yuhang Zhang, Nicholas Petrick, Berkman Sahiner, Kenny H. Cha, Ravi K. Samala:
Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods. 1444-1454 - Ashwin Pathak, Curtis Marshall, Carolyn Davis, Philip Yang, Rishikesan Kamaleswaran:
RespBERT: A Multi-Site Validation of a Natural Language Processing Algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS). 1455-1463 - Asmaa AbdulQawy, Elsayed Sallam, Amr Elkholy:
UnBias: Unveiling Bias Implications in Deep Learning Models for Healthcare Applications. 1464-1471 - Yangyi Du, Xiaojun Zhou, Qian Gao, Chunhua Yang, Tingwen Huang:
A Deep Reinforcement Learning-Based Feature Selection Method for Invasive Disease Event Prediction Using Imbalanced Follow-Up Data. 1472-1483 - Zhen Tian, Zhuangzhuang Zhang, Wanning Zhou, Zhixia Teng, Wei Song, Quan Zou:
DSANIB: Drug-Target Interaction Predictions With Dual-View Synergistic Attention Network and Information Bottleneck Strategy. 1484-1493 - Min Zeng, Jingwei Lu, Yiming Li, Chengqian Lu, Shichao Kan, Fei Guo, Min Li:
CellCircLoc: Deep Neural Network for Predicting and Explaining Cell Line-Specific CircRNA Subcellular Localization. 1494-1503 - Ching-Yi Lin, Marc Dandin:
Machine Learning Identification and Classification of Mitosis and Migration of Cancer Cells in a Lab-on-CMOS Capacitance Sensing Platform. 1504-1513 - Qian Gao, Tao Xu, Xiaodi Li, Wanling Gao, Haoyuan Shi, Youhua Zhang, Jie Chen, Zhenyu Yue:
Interpretable Dynamic Directed Graph Convolutional Network for Multi-Relational Prediction of Missense Mutation and Drug Response. 1514-1524 - Junjie Zhang, Xuan Zang, Hao Chen, Xiaowei Yan, Buzhou Tang:
Revisiting Drug Recommendation From a Causal Perspective. 1525-1533 - Wei Peng, Chuyue Chen, Wei Dai, Ning Yu, Jianxin Wang:
Predicting Clinical Anticancer Drug Response of Patients by Using Domain Alignment and Prototypical Learning. 1534-1545 - Minkyoung Kim, Jae Heon Kim, Beakcheol Jang:
Forecasting Epidemic Spread With Recurrent Graph Gate Fusion Transformers. 1546-1559
Volume 29, Number 3, March 2025
- Xing Chen, Qi Zhao:
Guest Editorial:Application of Computational Techniques in Drug Discovery and Disease Treatment. 1564-1566 - Zhixing Cheng, Deling Xu, Dewu Ding, Yanrui Ding:
Prediction of Drug-Target Interactions With High- Quality Negative Samples and a Network-Based Deep Learning Framework. 1567-1578 - Xiangpeng Bi, Shugang Zhang, Wenjian Ma, Huasen Jiang, Zhiqiang Wei:
HiSIF-DTA: A Hierarchical Semantic Information Fusion Framework for Drug-Target Affinity Prediction. 1579-1590 - Xinwei He, Xiaoqiang Sun, Yongzhao Shao:
Multicellular Network-Informed Survival Model for Identification of Drug Targets of Gliomas. 1591-1601 - Lihong Peng, Xin Liu, Long Yang, Longlong Liu, Zongzheng Bai, Min Chen, Xu Lu, Libo Nie:
BINDTI: A Bi-Directional Intention Network for Drug-Target Interaction Identification Based on Attention Mechanisms. 1602-1612 - Yaoyao Lu, Runhua Zhang, Tengsheng Jiang, Qiming Fu, Zhiming Cui, Hongjie Wu:
TrGPCR: GPCR-Ligand Binding Affinity Prediction Based on Dynamic Deep Transfer Learning. 1613-1624 - Xun Peng, Chunping Ouyang, Yongbin Liu, Ying Yu, Jian Liu, Min Chen:
Multimodal Drug Target Binding Affinity Prediction Using Graph Local Substructure. 1625-1634 - Huimin Yu, Mingyu Lu, Zeqian Li, Yi-Jia Zhang:
Semantic-Enhanced Graph Contrastive Learning With Adaptive Denoising for Drug Repositioning. 1635-1643 - Xianfang Tang, Chang Zhou, Changcheng Lu, Yajie Meng, Junlin Xu, Xinrong Hu, Geng Tian, Jialiang Yang:
Enhancing Drug Repositioning Through Local Interactive Learning With Bilinear Attention Networks. 1644-1655 - Xiao Jia, Xinliang Sun, Kaili Wang, Min Li:
DRGCL: Drug Repositioning via Semantic-Enriched Graph Contrastive Learning. 1656-1667 - Li Peng, Cheng Yang, Jiahuai Yang, Yuan Tu, Qingchun Yu, Zejun Li, Min Chen, Wei Liang:
Drug Repositioning via Multi-View Representation Learning With Heterogeneous Graph Neural Network. 1668-1679 - Jinxin Li, Xinguo Lu, Kaibao Jiang, Daoxu Tang, Bin Ning, Fengxu Sun:
TARSL: Triple-Attention Cross-Network Representation Learning to Predict Synthetic Lethality for Anti-Cancer Drug Discovery. 1680-1691 - Shaokai Wang, Bin Ma:
Anti-Cancer Peptides Identification and Activity Type Classification With Protein Sequence Pre-Training. 1692-1701 - Jiayi Yin, Hanyu Zhang, Xiuna Sun, Nanxin You, Minjie Mou, Mingkun Lu, Ziqi Pan, Fengcheng Li, Honglin Li, Su Zeng, Feng Zhu:
Decoding Drug Response With Structurized Gridding Map-Based Cell Representation. 1702-1713 - Junhang Cao, Wei Zhou, Qiyuan Yu, Junkai Ji, Jun Zhang, Shan He, Zexuan Zhu:
MDTL-ACP: Anticancer Peptides Prediction Based on Multi-Domain Transfer Learning. 1714-1725 - Lijun Cai, Yuling He, Xiangzheng Fu, Linlin Zhuo, Quan Zou, Xiaojun Yao:
AEGNN-M:A 3D Graph-Spatial Co-Representation Model for Molecular Property Prediction. 1726-1734 - Zexing Zhao, Guangsi Shi, Xiaopeng Wu, Ruohua Ren, Xiaojun Gao, Fuyi Li:
DIG-Mol: A Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction. 1735-1746 - Lianwei Zhang, Dongjiang Niu, Beiyi Zhang, Qiang Zhang, Zhen Li:
Property-Guided Few-Shot Learning for Molecular Property Prediction With Dual-View Encoder and Relation Graph Learning Network. 1747-1758 - Xinyu Zhang, Hao Wang, Zhenya Du, Linlin Zhuo, Xiangzheng Fu, Dongsheng Cao, Boqia Xie, Keqin Li:
CardiOT: Towards Interpretable Drug Cardiotoxicity Prediction Using Optimal Transport and Kolmogorov-Arnold Networks. 1759-1770 - Xiao-Rui Su, Bowei Zhao, Guodong Li, Jun Zhang, Pengwei Hu, Zhuhong You, Lun Hu:
Knowledge Graph Neural Network With Spatial-Aware Capsule for Drug-Drug Interaction Prediction. 1771-1781 - Qi Xia, Zhenghong Xiao, Shaopeng Liu, Jianhua Guo, Ying Zhou, Wanlu Hu, Xu Lu:
MOPDDI: Predicting Drug-Drug Interaction Events Based on Multimodal Mutual Orthogonal Projection and Intermodal Consistency Loss. 1782-1792 - Chengcheng Fu, Xueli Pan, Jieyu Wu, Junkai Cai, Zhisheng Huang, Frank van Harmelen, Weizhong Zhao, Xingpeng Jiang, Tingting He:
KG4NH: A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health. 1793-1804 - Jia Zheng, Hai-Cheng Yi, Zhu-Hong You:
Equivariant 3D-Conditional Diffusion Model for De Novo Drug Design. 1805-1816 - Sungjoon Park, Sangseon Lee, Minwoo Pak, Sun Kim:
Dual Representation Learning for Predicting Drug-Side Effect Frequency Using Protein Target Information. 1817-1827 - Ziyu Fan, Linying Chen, Xinyi Wu, Zhijian Huang, Lei Deng:
Enhancing Predictions of Drug Solubility Through Multidimensional Structural Characterization Exploitation. 1828-1837 - Ziqiang Liu, Qiguo Dai, Xianhai Yu, Xiaodong Duan, Chunyu Wang:
Predicting circRNA-Drug Resistance Associations Based on a Multimodal Graph Representation Learning Framework. 1838-1848 - Xu Lu, Yanqi Guo, Shulian Zhang, Yuan Yuan, Chun-Chun Wang, Shen Zhao, Shaopeng Liu:
Deep Augmented Metric Learning Network for Prostate Cancer Classification in Ultrasound Images. 1849-1860 - Yibo Zhang, Congcong Yan, Zijian Yang, Meng Zhou, Jie Sun:
Multi-Omics Deep-Learning Prediction of Homologous Recombination Deficiency-Like Phenotype Improved Risk Stratification and Guided Therapeutic Decisions in Gynecological Cancers. 1861-1871 - Ngoc-Dau Mai, Wan-Young Chung:
On-Chip Mental Stress Detection: Integrating a Wearable Behind-The-Ear EEG Device With Embedded Tiny Neural Network. 1872-1885 - Xiaojuan Wang, Ruxin Hu, Tao Wang, Yuan Chang, Xiaoya Liu, Meijuan Li, Ying Gao, Shuang Liu, Dong Ming:
Resting-State Electroencephalographic Signatures Predict Treatment Efficacy of tACS for Refractory Auditory Hallucinations in Schizophrenic Patients. 1886-1896 - Yufeng Ke, Xiaohe Chen, Wei Xu, Tao Wang, Shuaishuai Shen, Dong Ming:
High-Frequency SSVEP-BCI With Row-Column Dual-Frequency Encoding and Decoding Strategy for Reduced Training Data. 1897-1908 - Yi Ding, Yong Li, Hao Sun, Rui Liu, Chengxuan Tong, Chenyu Liu, Xinliang Zhou, Cuntai Guan:
EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces. 1909-1918 - Sanaz Zamani, Roopak Sinha, Minh Nguyen, Samaneh Madanian:
Enhancing Emotional Well-Being With IoT Data Solutions for Depression: A Systematic Review. 1919-1930 - Mingxia Gong, Wenxuan Chen, Yih-Kuen Jan, Yu Zhao, Jie Yao, Yan Wang, Weiyan Ren, Fang Pu:
Estimation of Ankle Joint Moment From Plantar Pressure Through an Optimized Sensor Layout Using Genetic Algorithm and Deep Forest Regression. 1931-1939 - Wu Sun, Junhua Li:
AdaptEEG: A Deep Subdomain Adaptation Network With Class Confusion Loss for Cross-Subject Mental Workload Classification. 1940-1949 - Xugao Yu, Mohammed A. A. Al-qaness:
Human Activity Recognition Using Deep Residual Convolutional Network Based on Wearable Sensors. 1950-1958 - Long Meng, Xiaogang Hu:
Unsupervised Neural Decoding to Predict Dexterous Multi-Finger Flexion and Extension Forces. 1959-1969 - Liqiang Yuan, Shasha Zhang, Ruilin Li, Zhong Zheng, Jian Cui, Mohammed Yakoob Siyal:
EEG-Based Cross-Dataset Driver Drowsiness Recognition With an Entropy Optimization Network. 1970-1981 - Hongyan Tang, Zhenxing Huang, Wenbo Li, Yaping Wu, Jianmin Yuan, Yang Yang, Yan Zhang, Jing Qin, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu:
Automatic Brain Segmentation for PET/MR Dual-Modal Images Through a Cross-Fusion Mechanism. 1982-1994 - Jiangchang Xu, Jie Gao, Shuanglin Jiang, Chunliang Wang, Örjan Smedby, Yiqun Wu, Xiaoyi Jiang, Xiaojun Chen:
Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge. 1995-2005 - Liping Zhang, Xiaobo Li, Weitian Chen:
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction. 2006-2019 - Baiqiao Zhang, Yanran Yuan, Wei Qin, Xiangxian Li, Weiying Liu, Wenxin Yao, Yulong Bian, Juan Liu:
Enhancing Recognition of Stereotyped Movements in ASD Children Through Action Pattern Mining and Multi-Channel Fusion. 2020-2033 - Tianyong Liu, Zhiqing Zhang, Guojia Fan, Bin Li, Shoujun Zhou, Chengwu Xu, Gang Zhao, Fuxia Yang:
MambaVesselNet: A Novel Approach to Blood Vessel Segmentation Based on State-Space Models. 2034-2047 - Yaoyao Ma, Jing Wang, Chao Xu, Yuling Huang, Minghang Chu, Zhiwei Fan, Yishen Xu, Di Wu:
CDAF-Net: A Contextual Contrast Detail Attention Feature Fusion Network for Low-Dose CT Denoising. 2048-2060 - Emimal Jabason, M. Omair Ahmad, M. N. S. Swamy:
A Lightweight Deep Convolutional Neural Network Extracting Local and Global Contextual Features for the Classification of Alzheimer's Disease Using Structural MRI. 2061-2073 - Belmin Alic, Christian Wiede, Reinhard Viga, Karsten Seidl:
Feature-Based Detection and Classification of Sleep Apnea and Hypopnea Using Multispectral Imaging. 2074-2087 - Qingshan She, Songkai Sun, Yuliang Ma, Rihui Li, Yingchun Zhang:
LUCF-Net: Lightweight U-Shaped Cascade Fusion Network for Medical Image Segmentation. 2088-2099 - Surong Chu, Xueting Ren, Guohua Ji, Juanjuan Zhao, Jinwei Shi, Yangyang Wei, Bo Pei, Yan Qiang:
Learning Consistent Semantic Representation for Chest X-ray via Anatomical Localization in Self-Supervised Pre-Training. 2100-2112 - Guangzhe Zhao, Xingguo Zhu, Xueping Wang, Feihu Yan, Maozu Guo:
Syn-Net: A Synchronous Frequency-Perception Fusion Network for Breast Tumor Segmentation in Ultrasound Images. 2113-2124 - Menglu Tan, Yaxin Hou, Zhengde Zhang, Guangdong Zhan, Zijin Zeng, Zunduo Zhao, Hanxue Zhao, Lin Feng:
LymoNet: An Advanced Neck Lymph Node Detection Network for Ultrasound Images. 2125-2135 - Meiyan Xu, Jie Jiao, Duo Chen, Yi Ding, Qingqing Chen, Jipeng Wu, Peipei Gu, Yijie Pan, Xueping Peng, Naian Xiao, Bokai Yang, Qiyuan Li, Jiayang Guo:
REI-Net: A Reference Electrode Standardization Interpolation Technique Based 3D CNN for Motor Imagery Classification. 2136-2147 - Yadollah Zamanidoost, Tarek Ould-Bachir, Sylvain Martel:
OMS-CNN: Optimized Multi-Scale CNN for Lung Nodule Detection Based on Faster R-CNN. 2148-2160 - Yang Hu, Yuanyuan Chen, Xiaohan Xing, Jingfeng Zhang, Bolysbek Murat Yerzhanuly, Bazargul Matkerim, Yong Xia:
Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis. 2161-2171 - Jing Wang, Xuehui Wang, Xiaojun Ning, Youfang Lin, Huy Phan, Ziyu Jia:
Subject-Adaptation Salient Wave Detection Network for Multimodal Sleep Stage Classification. 2172-2184 - Junjie Long, Jinghao Niu, Heping Wang, Jiaxi Liu, Jie Li, Wensheng Zhang:
RTGN: Robust Traditional Chinese Medicine Graph Networks for Patient Similarity Learning. 2185-2198 - Chunsheng Li, Heng Su, Yang Liu:
Predicting Surgical Outcome in Patients With Drug-Resistant Epilepsy Using Autoregressive Connectivity and Virtual Resection. 2199-2209 - Zhen Cui, Yan Wu, Qinhu Zhang, Siguo Wang, Zhen-Hao Guo:
NPENN: A Noise Perturbation Ensemble Neural Network for Microbiome Disease Phenotype Prediction. 2210-2221 - Kunying Meng, Denghai Wang, Donghui Zhang, Kunlin Guo, Kai Lu, Junfeng Lu, Renping Yu, Lipeng Zhang, Yuxia Hu, Rui Zhang, Mingming Chen:
Real-Time Epileptic Seizure Prediction Method With Spatio-Temporal Information Transfer Learning. 2222-2232 - Gengxian Zhou, Haihong E, Ze-min Kuang, Ling Tan, Tianyu Yao, Meina Song:
Intradialytic Hypotension Frequency Prediction Using Generalizable Neighborhood Reasoning on Temporal Patient Knowledge Graph. 2233-2245 - Atifa Sarwar, Abdulsalam Almadani, Emmanuel O. Agu:
Early Time Series Classification Using Reinforcement Learning for Pre-Symptomatic Covid-19 Screening From Imbalanced Health Tracker Data. 2246-2256 - Prakash Chandra Sukhwal, Vaibhav Rajan, Atreyi Kankanhalli:
A Joint LLM-KG System for Disease Q&A. 2257-2270 - Zhenghong Zhou, Junwei Chen, Shenggeng Lin, Liang Hong, Dong-Qing Wei, Yi Xiong:
GRATCR: Epitope-Specific T Cell Receptor Sequence Generation With Data-Efficient Pre-Trained Models. 2271-2283 - Xiaosa Zhao, Qixian Wang, Ye Zhang, Chenglong He, Minghao Yin, Xiaowei Zhao:
CBKG-DTI: Multi-Level Knowledge Distillation and Biomedical Knowledge Graph for Drug-Target Interaction Prediction. 2284-2296 - Xiaowen Wang, Hongming Zhu, Qi Liu, Qin Liu:
Fusing Micro- and Macro-Scale Information to Predict Anticancer Synergistic Drug Combinations. 2297-2309 - Ricardo L. Armentano, Leandro J. Cymberknop, Luis Kun:
Democratizing Coronary Disease Risk Evaluation: Upholding Dr. Favaloro's Legacy With Affordable Remote Screening. 2310-2317 - Md. Mahmudul Islam, Taj Azarian, Shaurya Agarwal, Sobur Ali:
Capturing the Impact of Vaccination and Human Mobility on the Evolution of COVID-19 Pandemic. 2318-2327
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-03-22 00:11 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
