IEEE Journal of Biomedical and Health Informatics (J-BHI), Volume 30 (original) (raw)

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Volume 30, Number 1, January 2026

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    Peter L. Elkin:
    Editorial: Looking to the Future. 5-6
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    Karan Gupta, Koyel Datta Gupta, Devender Kumar, Gautam Srivastava, Deepak Kumar Sharma:
    BIDS: Blockchain and Intrusion Detection System Coalition for Securing Internet of Medical Things Networks. 7-16
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    Zhiguo Qu, Yang Li, Bo Liu, Deepak Gupta, Prayag Tiwari:
    DTQFL: A Digital Twin-Assisted Quantum Federated Learning Algorithm for Intelligent Diagnosis in 5G Mobile Network. 17-26
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    Yihan Chen, Zhixia Zeng, Xinhong Lin, Xin Du, Imad Rida, Ruliang Xiao:
    FDEPCA: A Novel Adaptive Nonlinear Feature Extraction Method via Fruit Fly Olfactory Neural Network for IoMT Anomaly Detection. 27-38
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    Nishtha Tomar, Parkala Vishnu Bharadwaj Bayari, Gaurav Bhatnagar:
    SBTD: Secured Brain Tumor Detection in IoMT Enabled Smart Healthcare. 39-50
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    Xiaoyue Ji, Zhekang Dong, Liyan Zhu, Chenhao Hu, Chun Sing Lai:
    An Efficient Human Activity Recognition In-Memory Computing Architecture Development for Healthcare Monitoring. 51-64
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    Gunasekaran Raja, Balakumar Ramkumar, Bhargavi Rajendiran, Sahaya Beni Prathiba, Thamodharan Arumugam, Kalimuthu Karuppanan, Lewis Nkenyereye, Kapal Dev:
    Synergistic Analysis of Lung Cancer's Impact on Cardiovascular Disease Using ML-Based Techniques. 65-72
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    Sudarshan Nandy, Abhishek Hazra, Mainak Adhikari, Deepak Puthal:
    Nanorobot-Based Intelligent Symptoms Analysis and Recommendation Framework in Edge Networks. 73-80
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    Le Sun, Qingyuan Chen, Min Zheng, Xin Ning, Deepak Gupta, Prayag Tiwari:
    Energy-Efficient Online Continual Learning for Time Series Classification in Nanorobot-Based Smart Health. 81-89
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    Jianguo Ju, Ziyu Guan, Hao Lei, Dandan Qiu, Haoming Zhang, Long Chen, Fei Xie, Wei Zhao:
    A General Global and Local Pre-Training Framework for 3D Medical Image Segmentation. 90-99
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    Xiaotian Wang, Xuanhang Xu, Zhifu Zhao, Fu Li, Fei Qi, Shuo Liang:
    VGRF Signal-Based Gait Analysis for Parkinson's Disease Detection: A Multi-Scale Directed Graph Neural Network Approach. 100-112
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    Xiaoyang Yuan, Yan Zhang, Peter Rolfe:
    IIMCNet: Intra- and Inter-Modality Correlation Network for Hybrid EEG-fNIRS Brain-Computer Interface. 113-124
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    Lei Cao, Hao Li, Yilin Dong, Tianyu Liu, Jie Li:
    Few-Shot Class-Incremental Learning With Dynamic Prototype Refinement for Brain Activity Classification. 125-137
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    Chaoxun Guo, Shicheng Dai, Chenglong Zhang, Zhixing Jiang, Baoyuan Wu, David Zhang:
    Data-Driven Study on Why Wrist Pulse Can Assess Health Conditions. 138-148
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    James R. Williamson, Andrew Alini, Brian A. Telfer, Adam W. Potter, Karl E. Friedl:
    Estimating Visceral Adiposity From Wrist-Worn Accelerometry. 149-161
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    Kiriaki J. Rajotte, Bashima Islam, Xinming Huang, David D. McManus, Edward A. Clancy:
    ECG Statement Classification and Lead Reconstruction Using CNN-Based Models. 162-172
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    Alon Sabaty, Adi Fishman, Shani Batcir, Tian Tan, Peter B. Shull, Kfir Levy, Arielle G. Fischer:
    Novel Deep Learning Model to Estimate Knee Flexion and Adduction Moments With Wearable IMUs During Treadmill and Overground Walking. 173-183
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    Juncheng Zhang, Bao Yang, Liqun Tang, Licheng Zhou, Zhenyu Jiang, Zejia Liu, Yiping Liu:
    An Efficient FoG-M3 Method for Self-Adaptive Labeling and Predicting Freezing of Gait. 184-195
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    Qihan Hu, Daomiao Wang, Hong Wu, Jian Liu, Cuiwei Yang:
    Unleashing the Power of Pretrained Transformer for Dense Prediction in Physiological Signals. 196-207
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    Hongxiang Gao, Zhipeng Cai, Xingyao Wang, Min Wu, Chengyu Liu:
    Multimodal Fusion of Behavioral and Physiological Signals for Enhanced Emotion Recognition via Feature Decoupling and Knowledge Transfer. 208-218
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    Tanying Su, Xin Tan, Xiao Liu, Chenyun Dai:
    A Causal Learning-Based sEMG Disentanglement Framework for Multi-Posture Domain Generalization. 219-229
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    Lejun Ai, He Chen, Yu Qiu, Yixue Hao, Xiaoli Li, Min Chen, Xiaokun Wu:
    Joint Fine-Grained Representation Learning and Masked Relational Modeling for EEG-Based Automatic Sleep Staging in Fabric Space. 230-242
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    Atitaya Phoemsuk, Vahid Abolghasemi:
    CADNet: A Lightweight Neural Network for Coronary Artery Disease Classification Using Electrocardiogram Signals. 243-255
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    Bryan David Minor, Colin Greeley, Ryan Holder, Brian Thomas, Lawrence B. Holder, Diane J. Cook:
    A Feature-Augmented Transformer Model to Recognize Functional Activities From in-the-Wild Smartwatch Data. 256-265
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    Yiming Li, Qinglin He, Yihan Yang, Yuguang Chu, Yuanhui Hu, Zhe Wu, Xiaokai Bai, Xiaohan Zhang, Weichen Liu, Hui-Liang Shen:
    Remote PPG Measurement Using a Synergistic Time-Frequency Network. 266-278
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    Francesco S. Carzaniga, Michael Hersche, Kaspar Schindler, Abbas Rahimi:
    A Composable Channel-Adaptive Architecture for Seizure Classification. 279-291
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    Yang Yu, Yang Xu, Jiamin Zhao, Dongxuan Li, Weichao Guo, Xinjun Sheng, Xiangyang Zhu:
    Simultaneous Decoding of Wrist Angles and Grasp Forces Based on Channel-Wise Cumulative Spike Trains. 292-302
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    Hanjie Chen, Zezhen Zeng, Yiming Zhang, Liangyi Lyu, Rosa H. M. Chan, Yuanting Zhang, Riling Wei:
    Multi-Wavelength Photoplethysmographic Assessment of Fingertip Vasculature for Auto-Calibrated Cuffless Blood Pressure Monitoring. 303-314
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    Tao Zhang, Lanqi He, Dingguo Zhang, Mingyang Li, Zhiyong Chang:
    DAFF-SNN: Dual Attention-Driven and Feature Fusion-Based Spiking Neural Network for Epilepsy Detection Based on Electroencephalogram. 315-327
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    Ziwen Wang, Yue Zhang, Zhiqiang Zhang, Sheng Quan Xie, Alexander Lanzon, William P. Heath, Zhenhong Li:
    Instance-Based Transfer Learning With Similarity-Aware Subject Selection for Cross-Subject SSVEP-Based BCIs. 328-338
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    Panagiotis Kasnesis, Lazaros Toumanidis, Daniele Jahier Pagliari, Alessio Burrello:
    Replacing Attention With Modality-Wise Convolution for Energy-Efficient PPG-Based Heart Rate Estimation Using Knowledge Distillation. 339-352
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    Cheng Huang, Yanping Lin:
    Integrating Differential Signals Into RNNs for Real-Time Respiratory Prediction. 353-365
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    Zeqi Luo, Ali Gooya, Edmond S. L. Ho:
    UDF-GMA: Uncertainty Disentanglement and Fusion for General Movement Assessment. 366-375
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    Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang, Ruiquan Ge:
    BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images With Conditional Latent Diffusion Models. 376-387
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    Lin Yang, Dan Shao, Chuanli Cheng, Chao Zou, Zhenxing Huang, Hairong Zheng, Dong Liang, Zhi-Feng Pang, Xue-Cheng Tai, Zhanli Hu:
    An Automatic 3D PET Tumor Segmentation Framework Assisted by Geodesic Sequences. 388-401
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    Fei Huang, Nanguang Chen, Anqi Qiu:
    3D-CNN Enhanced Multiscale Progressive Vision Transformer for AD Diagnosis. 402-412
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    Kai Xu, Zhen Liang, Wenjun Wei, Huaian Chen, Yi Jin:
    Fundus Image Enhancement With Pyramid Conditional Flow. 413-424
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    Pragya Gupta, Swati Rani Hait, Vishal Raval, Subhamoy Mandal, Debashree Guha, Debjani Chakraborty:
    Bonferroni Mean Pre-aggregation Operator Assisted Dynamic Fuzzy Histogram Equalization for Retinal Vascular Segmentation. 425-435
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    Anders Austlid Taskén, Thierry Judge, Erik Andreas Rye Berg, Jinyang Yu, Bjørnar Leangen Grenne, Frank Lindseth, Svend Aakhus, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard, Gabriel Kiss:
    Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning. 436-447
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    Jiaqi Cui, Xinyi Zeng, Pinxian Zeng, Bo Liu, Xi Wu, Deng Xiong, Jiliu Zhou, Yan Wang, Dinggang Shen:
    MGTP: Multi-Granularity Textual Prompts for Low-Dose Brain PET Image Denoising via Adversarial Diffusion Model. 448-458
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    Zixin Yang, Jon S. Heiselman, Cheng Han, Kelly Merrell, Richard A. Simon, Cristian A. Linte:
    Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery With Patches-to-Partial Matching. 459-472
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    Yuanchang Huang, Yadong Tang, Juhao Wu, Jiayan He, Wenlong Wang:
    Automatic Detection and Segmentation of Tooth Cracks Based on Improved Mask R-CNN. 473-486
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    Minghan Fu, Ming Fang, Bo Liao, Dong Liang, Zhanli Hu, Fang-Xiang Wu:
    Low-Count PET Image Reconstruction With Generalized Sparsity Priors via Unrolled Deep Networks. 487-500
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    Yuhui Du, Chen Huang, Vince D. Calhoun:
    Group Information Guided Smooth Independent Component Analysis Method for Multi-Subject fMRI Data Analysis. 501-512
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    Zhiwen Yang, Jiayin Li, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu:
    Restore-RWKV: Efficient and Effective Medical Image Restoration With RWKV. 513-526
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    Duo Zhang, Yun Tan, Jiaohua Qin, Xuyu Xiang:
    Automatic Radiology Report Generation Based on State-Space Model. 527-538
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    Md Mamunur Rahaman, Ewan K. A. Millar, Erik Meijering:
    Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Images. 539-550
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    Yan Pang, Yunhao Li, Jiaming Liang, Hao Chen, Ying Hu, Qiong Wang:
    SegTom: A 3D Volumetric Medical Image Segmentation Framework for Thoracoabdominal Multi-Organ Anatomical Structures. 551-563
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    Jianfang Li, Yakang Li, Fazhi Qi, Shengxiang Wang, Zhengde Zhang, Zhi-an Huang, Zitong Yu:
    Lightweight Network Enhancing High-Resolution Feature Representation for Efficient Low Dose CT Denoising. 564-574
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    Qing Qin, Ziwei Lin, Guangyuan Gao, Chunxiao Han, Ruofan Wang, Yingmei Qin, Shanshan Li, Shan An, Yanqiu Che:
    MBE-UNet: Multi-Branch Boundary Enhanced U-Net for Ultrasound Segmentation. 575-585
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    Deboleena Sadhukhan, Eric Saloux, Amir Hodzic, Christian Dorme, Mathias Fink, Ros Kiri Ing:
    Non-Contact Assessment of Cardiac Velocity Profiles Using Ultrasound Based Surface Motion Camera: A Feasibility Study. 586-595
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    Bin Wang, Jiarui Liang, Chuyang Ye, Ting Yan, Miaomiao Liu, Tianyi Yan:
    Trifocal Transformer: Connection-Mask-Residual Focused Attention Network for Brain Disease Diagnosis. 596-608
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    Ziye Zhang, Shijin Wang, Yuying Huang, Xiaorou Zheng, Shoubin Dong:
    Confidence-Aware Adaptive Fusion Leaning of Imbalance Multi-Modal Data for Cancer Diagnosis and Prognosis. 609-616
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    Qiong Wang, Yan Wang, Hongdi Sun, Yu Feng, Zhe Dong, Cong Bai:
    Refocal Loss in Transformer for Long-Tailed Multi-Granularity Cataract Classification. 617-630
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    Qiankun Jin, Qiyu Jia, Xiaoxia Zhou, Dian Jin, Xuewei Song, Zhiyuan Xie, Abudusalamu Alimujiang, Yancheng Li, Jun Huang, Chuang Ma:
    OPDoctorNet: Deep Learning Revolutionizes Opportunistic Screening of Osteoporosis Based on Clinical Data. 631-642
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    Kawon Jeong, Sun-Joon Moon, Vega Pradana Rachim, YoonJu Song, Young-Min Cho, Sung-Min Park:
    Enhanced Post-Prandial Glycemic Response Prediction in Type 2 Diabetes with Microbiome Data and Deep Learning. 643-654
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    Saisai Lv, Donghai Guan, Weiwei Yuan, Çetin Kaya Koç:
    SleepAC: Less Dependency on Manual Annotations, More Reliable Sampling for Automatic Sleep Staging. 655-665
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    Xujie Ding, Yali Liu, Jianting Ning, Dongdong Chen:
    Blockchain-Enhanced Anonymous Data Sharing Scheme for 6G-Enabled Smart Healthcare With Distributed Key Generation and Policy Hiding. 666-675
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    Liangyi Lyu, Han Zhu, Hanjie Chen, Jiandong Zhou, Rosa H. M. Chan, Lei Lu:
    PDSNet: Patient-Disease Dual Spatial Similarity Neural Networks for Predicting Heart Failure Risk Using Short Electronic Health Records. 676-687
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    Laura Gutiérrez-Martín, Celia López-Ongil, José Angel Miranda Calero:
    DeepBindi: An End-to-End Fear Detection System Optimized for Extreme-Edge Deployment. 688-699
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    Mufan Wang, Matthew M. Engelhard, Patrick H. Pun, Benjamin Alan Goldstein:
    Discrete Time Neural Network Models to Address Time-Varying Predictor Importance: An Illustration in Predicting Mortality Over Different Time Horizons. 700-707
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    George Manis, Dimitrios Platakis, Roberto Sassi:
    Exploration on Bubble Entropy. 708-716
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    Hania Tourab, Laura Lopez-Perez, Peña Arroyo-Gallego, Eleni I. Georga, Miguel Rujas, Francesca Romana Ponziani, Macarena Torrego Ellacuría, Beatriz Merino-Barbancho, Neri Niccolò Dei, Gastone Ciuti, Dimitrios I. Fotiadis, Antonio Gasbarrini, María Fernanda Cabrera-Umpiérrez, María Teresa Arredondo, Giuseppe Fico:
    The Use of Machine Learning and Explainable Artificial Intelligence in Gut Microbiome Research: A Scoping Review. 717-731
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    Jun Lyu, Xiudong Chen, M. Shamim Hossain, Selwa A. F. Al-Hazzaa, Chengyan Wang:
    Dual-MFNet: AI-Driven Dual-Scale Multimodal Fusion With State Space Networks for Personalized MRI Synthesis. 732-745
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    Fatemeh Keikha, Zhi-Ping Liu:
    MTPrior: A Multi-Task Hierarchical Graph Embedding Framework for Prioritizing Hepatocellular Carcinoma-Associated Genes and Long Noncoding RNAs. 746-759
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    Yao Dong, Chen Chen, Jin Shi, Yushan Hu, Xiaowen Cao, Yongfeng Dong, Xuekui Zhang:
    MOH: A Novel Multilayer Multi-Omics Heterogeneous Graph for Single-Cell Clustering. 760-772
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    Dongxu Li, Yue Yang, Ziwen Cui, Hengchuang Yin, Pengwei Hu, Lun Hu:
    LLM-DDI: Leveraging Large Language Models for Drug-Drug Interaction Prediction on Biomedical Knowledge Graph. 773-781
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    Yi Hao, Xudong Guo, Zixu Ran, Yue Bi, Fuyi Li:
    LncTracker: A Unified Multi-Channel Framework for Multi-Label lncRNA Localization. 782-793
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    Dandan Peng, Linhai Xie, Hong Yang, Yanchun Zhang:
    scVDM: A Diffusion Model Integrated With Conditional VAE for Generative Single-Cell Tasks. 794-807
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    Wei Luo, Haiming Yao, Ang Gao, Tao Zhou, Xue Wang:
    Mining Global and Local Semantics From Unlabeled Spectra for Spectral Classification. 808-819

Volume 30, Number 2, February 2026

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    Amit Kumar Singh, Stefano Berretti:
    Guest Editorial: Medical Information Security and Privacy Solution for Smart Healthcare Industries. 825-827
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    Parkala Vishnu Bharadwaj Bayari, Nishtha Tomar, Gaurav Bhatnagar, Chiranjoy Chattopadhyay:
    Watermarking Protocol Inspired Kidney Stone Segmentation in IoMT. 828-838
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    Chengzhe Piao, Taiyu Zhu, Yu Wang, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li:
    Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach. 839-852
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    Shudong Wang, Zhiyuan Zhao, Yawu Zhao, Luqi Wang, Yuanyuan Zhang, Jiehuan Wang, Sibo Qiao, Zhihan Lyu:
    A Semantic Conditional Diffusion Model for Enhanced Personal Privacy Preservation in Medical Images. 853-864
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    Chi Zhang, Tao Shen, Fenhua Bai, Xiaohui Zhang, Ziyuan Zhao:
    Efficient Collaborative Model Training Mechanism With Privacy-Preserving Data for the IoMT. 865-878
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    Fangfang Zhu, Honghong Su, Ji Ding, Qichao Niu, Qi Zhao, Jianwei Shuai:
    SAEF: Secure Anonymization and Encryption Framework for Open-Access Remote Photoplethysmography Datasets. 879-889
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    Ajmal Mohammed, P. Samundiswary:
    Tamper Detection and Self-Recovery in a Visual Secret Sharing Based Security Mechanism for Medical Records. 890-899
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    Muhammad Adil, Shahid Mumtaz, Ahmed Farouk, Houbing Song, Zhanpeng Jin:
    BrainAuth: A Neuro-Biometric Approach for Personal Authentication. 900-912
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    Cláudia Brito, Pedro G. Ferreira, João Tiago Paulo:
    Exploiting Trusted Execution Environments and Distributed Computation for Genomic Association Tests. 913-920
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    Daniel Foronda-Pascual, Carmen Camara, Pedro Peris-Lopez:
    Untouchable and Cancelable Biometrics: Human Identification in Various Physiological States Using Radar-Based Heart Signals. 921-934
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    Wei Liu, Feng Zhao, Lewis Nkenyereye, Shalli Rani, Keqin Li, Jianhui Lv:
    XAI Driven Intelligent IoMT Secure Data Management Framework. 935-946
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    Yirui Wu, Xinfu Liu, Lucia Cascone, Michele Nappi, Shaohua Wan:
    Plausible Deniable Medical Image Encryption by Large Language Models and Reversible Content-Aware Strategy. 947-957
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    Huayu Li, Ana S. Carreon-Rascon, Xiwen Chen, Geng Yuan, Ao Li:
    MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features. 958-969
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    Di Wu, Siyuan Li, Jie Yang, Mohamad Sawan:
    Neuro-BERT: Rethinking Masked Autoencoding for Self-Supervised Neurological Pretraining. 970-980
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    Yizhen Luo, Jiahuan Zhang, Siqi Fan, Kai Yang, Massimo Hong, Yushuai Wu, Mu Qiao, Zaiqing Nie:
    BioMedGPT: An Open Multimodal Large Language Model for BioMedicine. 981-992
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    Jihong Hu, Yinhao Li, Rahul Kumar Jain, Lanfen Lin, Yen-Wei Chen:
    SPA: Leveraging the SAM With Spatial Priors Adapter for Enhanced Medical Image Segmentation. 993-1005
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    Wen Ye, Zhetao Guo, Yuxiang Ren, Yi Tian, Yushi Shen, Zan Chen, Junjun He, Jing Ke, Yiqing Shen:
    DiffM4RI: A Latent Diffusion Model With Modality Inpainting for Synthesizing Missing Modalities in MRI Analysis. 1006-1018
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    Ijaz Ahmad, Xin Wang, Danish Javeed, Prabhat Kumar, Oluwarotimi Williams Samuel, Shixiong Chen:
    A Hybrid Deep Learning Approach for Epileptic Seizure Detection in EEG signals. 1019-1029
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    Payal Malik, Ankit Vidyarthi:
    A Computational Deep Fuzzy Network-Based Neuroimaging Analysis for Brain Hemorrhage Classification. 1030-1038
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    Abdul Qayyum, Imran Razzak, Moona Mazher, Tariq Mahmood Khan, Weiping Ding, Steven A. Niederer:
    Two-Stage Self-Supervised Contrastive Learning Aided Transformer for Real-Time Medical Image Segmentation. 1039-1048
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    Hang Wang, Mingxing Duan, Yuhuan Lu, Bin Pu, Yue Qin, Shuihua Wang, Kenli Li:
    CMIS: A Class-Aware Multi-Structure Instance Segmentation Model for Fetal Brain Ultrasound Images With Fuzzy Region-Based Constraints. 1049-1059
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    Jiayang Xu, Yamin Li, Ruxin Su, Saishuang Wu, Chengcheng Wu, Haiwa Wang, Qi Zhu, Yue Fang, Fan Jiang, Shanbao Tong, Yunting Zhang, Xiaoli Guo:
    Dynamic Theta-Alpha Inter-Brain Model during Mother-Preschooler Cooperation. 1060-1072
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    Jiaheng Wang, Zhenyu Wang, Tianheng Xu, Ang Li, Yuan Si, Ting Zhou, Xi Zhao, Honglin Hu:
    Enhancing the Reliability of Affective Brain-Computer Interfaces by Using Specifically Designed Confidence Estimator. 1073-1086
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    Congming Tan, Jiayang Xu, Liangliang Hu, Yin Tian:
    FusSADGCNN: Decoding the Impact of Transcranial Electrical Stimulation on Neuromodulation in Emotion Recognition and Emotion Elicitation. 1087-1100
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    Chunlin Zhang, Pingyu Hu, Zhan Shen, Xiaorong Ding:
    Continuous Cuffless Blood Pressure Estimation via Effective and Efficient Broad Learning Model. 1101-1114
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    Yong Peng, Jiangchuan Liu, Honggang Liu, Natasha M. J. Padfield, Junhua Li, Wanzeng Kong, Bao-Liang Lu, Andrzej Cichocki:
    Prediction Consistency and Confidence-Based Proxy Domain Construction for Privacy-Preserving in Cross-Subject EEG Classification. 1115-1127
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    Xu Liu, Ling You, Chengcong Lv, Mingyuan Chen, Lianhuan Wei, Yineng Zheng, Xingming Guo:
    Integrating ECG and PCG Signals through a Dual-Modal ViT for Coronary Artery Disease Detection. 1128-1139
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    Zijun Wei, Zhiqiang Zhang, Sheng Quan Xie:
    A Transformer Framework Informed by Muscle Anatomy and Sequence-to-Sequence Translation for Continuous Joint Kinematics Prediction Using sEMG. 1140-1152
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    Zhenxi Zhao, Yingyu Cao, Hongbin Yu, Huixian Yu, Junfen Huang:
    CNNViT-MILF-a: A Novel Architecture Leveraging the Synergy of CNN and ViT for Motor Imagery Classification. 1153-1165
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    Muhammad Salman Haleem, Vassilios Aidonis, Eleni I. Georga, Maria Krini, Maria Matsangidou, Angelos P. Kassianos, Constantinos S. Pattichis, Miguel Rujas, Laura Lopez-Perez, Giuseppe Fico, Leandro Pecchia, Dimitrios I. Fotiadis, Gatekeeper Consortium:
    A Multimodal Deep Learning Architecture for Estimating Quality of Life for Advanced Cancer Patients Based on Wearable Devices and Patient-Reported Outcome Measures. 1166-1177
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    Shuai Dou, Xikai Liu, Pengfei Song, Yidi Cao, Tong Wen, Rui Feng, Bangcheng Han:
    High-Resolution and Wearable Magnetocardiography (MCG) Measurement With Active-Passive Coupling Magnetic Control Method. 1178-1186
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    Andreas S. Panayides, Hao Chen, Nenad D. Filipovic, Tijana Geroski, Junlin Hou, Karim Lekadir, Kostas Marias, George K. Matsopoulos, Giorgos Papanastasiou, Pinaki Sarder, Georgia D. Tourassi, Sotirios A. Tsaftaris, Huazhu Fu, Efthyvoulos C. Kyriacou, Christos P. Loizou, Michalis E. Zervakis, Joel H. Saltz, Farah E. Shamout, Ken C. L. Wong, Jianhua Yao, Amir A. Amini, Dimitrios I. Fotiadis, Constantinos S. Pattichis, Marios S. Pattichis:
    Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers. 1187-1202
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    Zhonghua Chen, Haitao Cao, Lauri Kettunen, Hongkai Wang:
    DBANet: Dual Boundary Awareness With Confidence-Guided Pseudo Labeling for Medical Image Segmentation. 1203-1215
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    Qi Zhang, Xiuyuan Chen, Ziyi He, Lianming Wu, Kun Wang, Jianqi Sun, Hongxing Shen:
    Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis. 1216-1229
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    Yiqian Luo, Qiurong Chen, Fali Li, Peng Xu, Yangsong Zhang:
    Multi-Site rs-fMRI Domain Alignment for Autism Spectrum Disorder Auxiliary Diagnosis Based on Hyperbolic Space. 1230-1243
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    Bo Lu, Tiancheng Zhou, Qingbiao Li, Wenzheng Chi, Yue Wang, Yu Wang, Huicong Liu, Jia Gu, Lining Sun:
    M$^{3}$-DEGREES Net: Monocular-Guided Metric Marching Depth Estimation With Graph-Based Relevance Ensemble for Endoluminal Surgery. 1244-1257
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  • 
    Jun Yang, Chen Zhu, Renbiao Wu:
    Robust Remote Heart Rate Estimation Network Based on Spatial-Temporal-Channel Learning From Facial Videos. 1258-1271
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    Mst. Sazia Tahosin, Md. Alif Sheakh, Mohammad Jahangir Alam, Md. Mehedi Hassan, Anupam Kumar Bairagi, Shahab A. Abdulla, Samah Alshathri, Walid El-Shafai:
    FedVGM: Enhancing Federated Learning Performance on Multi-Dataset Medical Images With XAI. 1272-1285
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    Pengfei Wang, Danyang Li, Yaoduo Zhang, Gaofeng Chen, Yongbo Wang, Jianhua Ma, Ji He:
    BSN With Explicit Noise-Aware Constraint for Self-Supervised Low-Dose CT Denoising. 1286-1299
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  • 
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  • 
    Lang Zhang, Jinling He, Wang Li, Dong Liang, Yanjie Zhu:
    Diff-DTI: Fast Diffusion Tensor Imaging Using A Feature-Enhanced Joint Diffusion Model. 1300-1313
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    Ahsanul Islam, Sadia Akter, Tahsina Farah Sanam:
    Secure Tracking of Patient's Vital Signs Using CSI-Based Homomorphic Encryption-Enabled Deep Learning Framework. 1314-1327
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  • 
  • 
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    Zhe Wang, Yung Hsin Chen, Aladine Chetouani, Fabian Bauer, Yuhua Ru, Fang Chen, Liping Zhang, Rachid Jennane, Mohamed Jarraya:
    Feasibility Study of a Diffusion-Based Model for Cross-Modal Generation of Knee MRI From X-Ray: Integrating External Radiographic Feature Information. 1328-1338
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    Xiao Ke, Yang Chen, Wenzhong Guo:
    CoRe: An End-to-End Collaborative Refinement Network for Medical Image Segmentation. 1339-1352
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    Zhiwen Wu, Fei Gu, Jing Wu, Shikun Sun, Changsheng Ma:
    TEENet: An Effective Clinical Detection Network for Identifying Spontaneous Echo Contrast Automatically. 1365-1377
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  • 
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    Yongxu Zhao, Kequan Yang, Yuanchen Wu, Xiaoqiang Li:
    MFDP: Multi-View Feature Integration and Enhanced Disease Prompting for Radiology Report Generation. 1378-1391
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    Renyu Fu, Xiao Zheng, Hua Zhou, Chengfu Ji, Sen Xiang, Guanghui Yue, Tianyi Wang, Chang Tang:
    Contrastive Representation Learning for Cross-Domain Blood Cell Image Classification With Denoising Mechanism. 1392-1403
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    Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Fang Wang, Qingqing Chen, Wenbin Ji, Yinhao Li, Hongjie Hu, Yen-Wei Chen:
    Multimodal Graph Learning With Multi-Hypergraph Reasoning Networks for Focal Liver Lesion Classification in Multimodal Magnetic Resonance Imaging. 1404-1417
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    Yasaman Baradaran, Raul Fernandez Rojas, Roland Goecke, Maryam Ghahramani:
    Exploring Prefrontal Cortex Involvement in Postural Control Across Degraded Sensory Conditions Using fNIRS and Classification. 1418-1428
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    Zhanshi Zhu, Qing Dong, Gongning Luo, Wei Wang, Suyu Dong, Kuanquan Wang, Ye Tian, Guohua Wang, Shuo Li:
    Causality-Adjusted Data Augmentation for Domain Continual Medical Image Segmentation. 1429-1442
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    Kaimin Wei, Jin Qian, Chengkun Jia, Jinpeng Chen, Jilian Zhang, Yongdong Wu, Jinyu Zhu, Yuhan Guo:
    Medical Image Privacy in Federated Learning: Segmentation-Reorganization and Sparsified Gradient Matching Attacks. 1443-1451
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  • 
    Tong Jin, Jin Liu, Diandian Wang, Kun Wang, Chenlong Miao, Yikun Zhang, Dianlin Hu, Zhan Wu, Yang Chen:
    WOADNet: A Wavelet-Inspired Orientational Adaptive Dictionary Network for CT Metal Artifact Reduction. 1452-1465
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    Yue Peng, Ruodai Wu, Bing Xiong, Fuqiang Chen, Jun Ma, Yaoqin Xie, Jing Cai, Wenjian Qin:
    UTADC-Net: Unsupervised Topological-Aware Diffusion Condensation Network for Medical Image Segmentation. 1466-1478
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    Kai Chen, Mu Nie, Jean-Louis Coatrieux, Yang Chen, Shipeng Xie:
    Airs-Net: Adversarial-Improved Reversible Steganography Network for CT Images in the Internet of Medical Things and Telemedicine. 1479-1491
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    Haifan Wu, Yuhan Geng, Di Gai, Jieying Tu, Xin Xiong, Qi Wang, Zheng Huang:
    Dual-Student Adversarial Framework With Discriminator and Consistency-Driven Learning for Semi-Supervised Medical Image Segmentation. 1492-1505
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    Qiuhui Chen, Xuancheng Yao, Huping Ye, Yi Hong:
    Enhancing 3D Medical Image Understanding With Pretraining Aided by 2D Multimodal Large Language Models. 1506-1519
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    Yukai Huang, Ningbo Zhao, Dongmin Huang, Yonglong Ye, Zi Luo, Hongzhou Lu, Min He, Wenjin Wang:
    Plantar Perfusion Imaging for Peripheral Arterial Disease Screening: A Proof-of-Concept Study. 1520-1533
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  • 
    Yifei Zhao, Xiaoying Wang, Junping Yin:
    Efficient Video Polyp Segmentation by Deformable Alignment and Local Attention. 1534-1543
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  • 
    Chenlong Miao, Yikang He, Baike Shi, Zhongkai Bian, Wenxue Yu, Yang Chen, Guang-Quan Zhou:
    Edge-Aware Diffusion Segmentation Model With Hessian Priors for Automated Diaphragm Thickness Measurement in Ultrasound Imaging. 1544-1554
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    Jiaxing Xu, Mengcheng Lan, Xia Dong, Kai He, Wei Zhang, Qingtian Bian, Yiping Ke:
    Multi-Atlas Brain Network Classification Through Consistency Distillation and Complementary Information Fusion. 1568-1579
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    Jingang Jiang, Zhonghao Xue, Jianpeng Sun, Chunrui Wang, Jingchao Wang, Jie Pan, Tao Shen:
    An OBS-WA Algorithm for Pose Optimization of a Tooth Preparation Robot End-Effector in Confined Spaces. 1580-1592
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    Andy Yiu-Chau Tam, Ye-Jiao Mao, Derek Ka-Hei Lai, Andy Chi-Ho Chan, Daphne Sze Ki Cheung, William D. Kearns, Duo Wai-Chi Wong, Chung-Wai James Cheung:
    SaccpaNet: A Separable Atrous Convolution- Based Cascade Pyramid Attention Network to Estimate Body Landmarks Using Cross-Modal Knowledge Transfer for Under-Blanket Sleep Posture Classification. 1593-1604
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    Usman Anwar, Adeel Hussain, Mandar Gogate, Kia Dashtipour, Tughrul Arslan, Amir Hussain, Peter Lomax:
    Multimodal Cognitive Load Estimation With Radio Frequency Sensing and Pupillometry in Complex Auditory Environments. 1605-1617
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    Bob Aubouin-Pairault, M. Réus, B. Meyer, R. Wolf, Mirko Fiacchini, Thao Dang:
    A Comprehensive Framework for the Prediction of Intra-Operative Hypotension. 1618-1629
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    Hsin-Yang Chang, An-Sheng Liu, Yi-Ting Lin, Chen-Chung Liu, Lue-En Lee, Feng-Yi Chen, Shu-Hui Hung, Li-Chen Fu:
    Self-Supervised Guided Modality Disentangled Representation Learning for Multimodal Sentiment Analysis and Schizophrenia Assessment. 1630-1641
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    Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon, Pere Cavallé-Busquets, Michelle M. Murphy, Domenec Puig:
    M-TabNet: A Transformer-Based Multi-Encoder for Early Neonatal Birth Weight Prediction Using Multimodal Data. 1642-1651
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    Hong-Jie Dai, Han-Hsiang Wu:
    Hierarchical Temporal Attention Networks for Cancer Registry Abstraction: Leveraging Longitudinal Clinical Data With Interpretability. 1652-1665
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    Patricia A. Apellániz, Borja Arroyo Galende, Ana Jiménez, Juan Parras, Santiago Zazo:
    Advancing Cancer Research With Synthetic Data Generation in Low-Data Scenarios. 1666-1679
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    Muhammad Azam, Shuai Zeng, Hasanain Aldihis, Mihail Popescu, Dong Xu:
    Applications of Large Language Models and Prompt Optimization for Knowledge Extraction From Biological Pathway Figures. 1680-1692
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    Rongqian Zhang, Guanwen Xie, Jie Ying, Zhongsheng Hua:
    Leveraging Large Language Models for Personalized Parkinson's Disease Treatment. 1693-1706
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    Alberto Altozano, Maria Eleonora Minissi, Lucía Gómez-Zaragozá, Luna Maddalon, Mariano Alcañiz, Javier Marín-Morales:
    Enhancing Psychological Assessments With Open-Ended Questionnaires and Large Language Models: An ASD Case Study. 1707-1720
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  • 
    Jonatan Reyes, Alireza Noroozi, Yiming Xiao, Marta Kersten-Oertel:
    Bridging the Gaps: Imputation of Parkinson's Disease Clinical Assessments With Federated Learning. 1721-1734
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  • 
  • 
  • 
    Yu Li, Lin-Xuan Hou, Zhu-Hong You, Yang Yuan, Cheng-Gang Mi, Yu-An Huang, Hai-Cheng Yi:
    MRGCDDI: Multi-Relation Graph Contrastive Learning Without Data Augmentation for Drug-Drug Interaction Events Prediction. 1735-1745
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  • 
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  • 
    Yajie Meng, Zhuang Zhang, Xudong Shang, Xianfang Tang, Jincan Li, Zilong Zhang, Feifei Cui, Shuting Jin, Junlin Xu, Peng Wang:
    FusionMVSA: Multi-View Fusion Strategy With Self-Attention for Enhancing Drug Recommendation. 1746-1758
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    Peng Gao, Long Xu, Yuan Bai, Qiuzhen Lin, Junkai Ji, Lijia Ma:
    Phage Host Prediction Using Deep Neural Network With Multi-Source Protein Language Models and Squeeze-and-Excitation Attention Mechanism. 1759-1771
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  • 
  • 
  • 
    Jun-Hyoung Park, Ho-Jun Song, Seong-Whan Lee:
    ChemFixer: Correcting Invalid Molecules to Unlock Previously Unseen Chemical Space. 1772-1784
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  • 
  • 
    Ziwei Wang, Ge Xu, Weiming Yu, Le Ou-Yang:
    LineGRN: A Line Graph Neural Network for Gene Regulatory Network Inference. 1785-1797
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    Cheng-Long Mi, Ling-Yun Dai, Junliang Shang, Rong Zhu, Juan Wang, Feng Li:
    A Hierarchical Attention-Based Negative Sampling Method for Drug Repositioning Using Neighborhood Interaction Fusion. 1798-1808
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  • 
  • 
  • 
    Juan Wang, Qi Gao, Shasha Yuan, Junliang Shang:
    Cluster-Guided Contrastive Learning With Masked Autoencoder for Spatial Domain Identification Based on Spatial Transcriptomics. 1809-1820
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  • 
  • 
  • 
  • 
    Xiao Wang, Lixiang Yang, Rong Wang, Yongfeng Zhang:
    mRSubLoc: A Novel Multi-Label Learning Framework Integrating RNA Large Language Model for mRNA Subcellular Localization. 1821-1829
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  • 
  • 
  • 
    Jingguang He, Shunxin Xiao, Sujia Huang, Jianmin Li, Da-Han Wang:
    MOKAN: A Multi-Omics Data Analysis Framework Using Kolmogorov-Arnold Networks. 1830-1840
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  • 
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  • 
    Christoph Killing, Kira Elsbernd, Maximilian Wekerle, Michael Hölscher, Andrea Rachow, Noemi Castelletti:
    Generative Neural Networks for Data Imputation in Longitudinal Epidemiological Studies. 1841-1848
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    Rafic Nader, Vincent L'Allinec, Romain Bourcier, Florent Autrusseau:
    Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Along the Circle of Willis. 1353-1364
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  • 
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    Xinxin Wang, Mingrui Yang, Sercan Tosun, Kunio Nakamura, Shuo Li, Xiaojuan Li:
    CalDiff: Calibrating Uncertainty and Accessing Reliability of Diffusion Models for Trustworthy Lesion Segmentation. 1555-1567

Volume 30, Number 3, March 2026

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    Chunjiong Zhang, Gaoyang Shan, Byeong-Hee Roh, Fa Zhu, Jun Jiang:
    FEI-Hi: Federated Edge Intelligence for Healthcare Informatics. 1853-1866
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  • 
  • 
  • 
    Muhammad Usman, Azka Rehman, Abdullah Shahid, Abd Ur Rehman, Sung-Min Gho, Aleum Lee, Tariq Mahmood Khan, Imran Razzak:
    Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation. 1867-1875
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  • 
  • 
  • 
  • 
    Hongbo Zhu, Bowen Liu, Xiaotong Wei, Guangjie Han, Wenbo Zhang, Yue Ma, Aso Darwesh:
    Synthesis Image Editing for Attribute Evolution in the Pseudo-Temporal Sequence of Pulmonary Nodule Growth. 1876-1888
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  • 
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  • 
    Xingbo Dong, Bowen Zhou, Chen Yin, Iman Yi Liao, Zhe Jin, Zhaozhao Xu, Bin Pu:
    ÆMMamba: An Efficient Medical Segmentation Model With Edge Enhancement. 1889-1901
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  • 
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    Jingxuan Wang, Jing Yang, Muhammad Attique Khan, Lip Yee Por, Jamel Baili, Dayu Hu:
    DGAN-MPCC: A Novel Dual-GAN Enhanced Multi-Positive Contrastive Clustering Method for Omics Data. 1902-1911
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    Sibo Qiao, Qiang Guo, Fengdong Shi, Min Wang, Haohao Zhu, Fazlullah Khan, Joel J. P. C. Rodrigues, Zhihan Lyu:
    SIBW: A Swarm Intelligence-Based Network Flow Watermarking Approach for Privacy Leakage Detection in Digital Healthcare Systems. 1912-1924
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    Fangtao Song, Yang Li, Mingfeng Jiang, Kaicheng Li, Jucheng Zhang, Yinlong Zhang, Zhibo Pang:
    HSGO: Harmonized Swarm Learning With Guided Optimization for Multi-Center sMRI Classification of Alzheimer's Disease. 1925-1938
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  • 
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    Mostafa Abdolmaleki, Bahareh J. Farahani:
    Sync-GWO: Highly Private and Bandwidth-Efficient Federated Learning With a Case Study in Healthcare. 1939-1946
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    Jing Lei, Haobo Zhang, Fake Lyu, Jinghui Qin, Qingqi Pei:
    4PM: Privacy-Preserving Patient-Provider Matching Service in Digital Healthcare System. 1947-1958
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    Zhijun Xiao, Maarten De Vos, Christos Chatzichristos, Yunyi Jiang, Minghui Zhao, Fei Ding, Chenxi Yang, Jianqing Li, Chengyu Liu:
    Non-Direct Contact ECG Signal Classification Using a Hybrid Deep Learning Framework With Validation in Bedside Heart Rate Variability Analysis. 1959-1971
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    Jiawei Mo, Yixuan Chen, Rifen Lin, Yongkang Ni, Feng Liang, Min Zeng, Xiping Hu, Min Li:
    MoChat: Joints-Grouped Spatio-Temporal Grounding Multimodal Large Language Model for Multi-Turn Motion Comprehension and Description. 1972-1985
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    Houji Jin, Negin Ashrafi, Kamiar Alaei, Elham Pishgar, Greg Placencia, Maryam Pishgar:
    A Novel Multi-Task Teacher-Student Architecture With Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction. 1986-1999
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    Soheila Molaei, Anshul Thakur, Lei A. Clifton, Andrew A. S. Soltan, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton:
    Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity. 2000-2009
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    Yating Zhu, Xiaoyan Wang, Xiaojie Huang, Ming Xia, Pan Mu, Haigen Hu, Xiaoqin Zhang:
    Enhancing the Interpretation of Skin Lesion Diagnosis: Concept Adaptive Fine-Tuning of Vision-Language Models. 2010-2022
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    Longfei Qi, Feng Li, Junliang Shang, Daohui Ge, Shihan Wang, Shasha Yuan:
    Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive Learning. 2023-2033
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    Pooyan Mobtahej, Sam T. Gouron, Rojan Javaheri, Dennis N. Le, Annelisse El-Khoury, Thiri Htet Naing, S. Ahmad Sajjadi:
    Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review. 2034-2048
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    Hao Wang, Jiayu Ye, Yanhong Yu, Lin Lu, Lin Yuan, Qingxiang Wang:
    MFE-Former: Disentangling Emotion-Identity Dynamics via Self-Supervised Learning for Enhancing Speech-Driven Depression Detection. 2049-2060
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    Yongming Yang, Zhaoshuo Diao, Ziliang Song, Shenglin Zhang, Tiancong Liu, Chengdong Wu, Weiliang Bai, Hao Liu:
    EISegNet: Enhancing Instrument Segmentation Network via Dual-View Disparity Estimation. 2061-2072
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    Serhii Reznichenko, John Whitaker, Zixuan Ni, Amir AbdelWahab, Usha B. Tedrow, John L. Sapp, Shijie Zhou:
    AI-Based QRS Onset Detection in the Early Ventricular Activation Site ECGs. 2073-2086
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    Wenhao Rao, Jiayang Guo, Chunran Zhu, Meiyan Xu, Naian Xiao, Yijie Pan, Ling Zhang, Xiaowen Ye, Jun Jiang, Xiaolu Wang, Peipei Gu, Duo Chen:
    Interictal Epileptiform Discharge Detection Using Dual-Domain Features and GAN. 2087-2100
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    Xiayu Chen, Wennan Chan, Yingqiang Meng, Runze Liu, Yueyi Yu, Sheng Hu, Jijun Han, Xiaoxiao Wang, Jiawei Zhou, Bensheng Qiu, Yanming Wang:
    Multi-Channel Temporal Interference Retinal Stimulation Based on Reinforcement Learning. 2101-2112
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    Liuqing Chen, Shuhong Xiao, Yujie Zang, Jiner Wang, Shanhai Hu, Lin Zhang, Qing Li, Danyang Zhang:
    GAEA-Net: Generating Activity-Enriched Abnormal ECGs via Adversarial Network. 2113-2126
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    Ke Zhang, Chunrui Zhao, Zenan Li, Caiwei Li, Desheng Jia, Yongchao Chen, Shang Yan, Xin Wang, Yishu Teng, Hongguang Pan, Shixiong Chen:
    FIGNet: A Robust and Interpretable Fuzzy-Irreversible Gated Network for Auditory Brainstem Response Classification. 2127-2138
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    Hika Barki Dalju, Ngoc-Dau Mai, Wan-Young Chung:
    Optimized XGBoost for Multimodal Affective State Classification Using In-Ear PPG and Behind-the-Ear EEG Signals. 2139-2152
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  • 
    Yi-Fan Qi, Yuan-Hai Shao, Chun-Na Li, Zhiquan Qi:
    Recursive Statistical Invariants Elimination for High-Risk Disease Diagnosis With Feature Selection. 2153-2166
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  • 
    Huijie Li, Yide Yu, Si Shi, Anmin Hu, Jian Huo, Wei Lin, Chaoran Wu, Wuman Luo:
    Value Decomposition-Based Multi-Agent Learning for Anesthetics Collaborative Control. 2167-2180
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  • 
    Honggang Liu, Han Yang, Dongjun Liu, Xuanyu Jin, Yong Peng, Wanzeng Kong:
    DRFNet: Enhancing Identity Discriminability and Feature Robustness for Cross-Session VEP-Based EEG Biometrics. 2181-2193
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  • 
    Yaomiao Zhao, Shaohang Qiao, Qiao Ning, Minghao Yin:
    Graph Clustering-Guided Multi-View Neighborhood-Enhanced Graph Contrastive Learning for Drug-Target Interaction Prediction. 2194-2202
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  • 
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  • 
    Haoran Liu, Hossein Farahani, Xifeng Li, Yongle Xie, Ali Bashashati:
    KAFSTExp: Kernel Adaptive Filtering With Nyström Approximation for Predicting Spatial Gene Expression From Histology Images. 2203-2216
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  • 
    Jian Zhong, Haochen Zhao, Xiao Liang, Qichang Zhao, Jian-xin Wang:
    MRLF-DDI: A Multi-View Representation Learning Framework for Drug-Drug Interaction Event Prediction. 2217-2227
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    Rihan Huang, Siyuan Chen, Yafei Li, Chunling Zhang, Yilan Zhang, Changchun Yang, Na Li, Jingdong Hu, Ao Xu, Junkai Su, Xin Gao, Huidan Li, Jiatao Lou:
    NoTAC: A Noise-Tolerance Automatic Cleaning Framework for Bone Marrow Karyotyping Data. 2228-2241
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  • 
    Zhenqi Shi, Linxing Cong, Hao Wu:
    MomicPred: A Cell Cycle Prediction Framework Based on Dual-Branch Multi-Modal Feature Fusion for Single-Cell Multi-Omics Data. 2242-2251
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    Xinfei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Feng-Feng Zhou, Yu-Qing Li, Yuan Fu:
    A Dynamic Multi-Scale Hypergraph Learning Framework Driven by Features and Structures for ceRNA-Disease Association Prediction. 2252-2262
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  • 
    Ping Xuan, Haoyuan Li, Hui Cui, Zelong Xu, Toshiya Nakaguchi, Tiangang Zhang:
    A Multi-Scale Neighbor Topology Guided Transformer and Kolmogorov-Arnold Network Enhanced Feature Learning Model for Disease-Related circRNA Prediction. 2263-2275
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    Dongxu Li, Feifan Zhao, Yue Yang, Ziwen Cui, Pengwei Hu, Lun Hu:
    Multi-View Contrastive Learning for Drug-Drug Interaction Event Prediction. 2276-2287
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  • 
    Yuechuan Dai, Xianjun Shen, Weizhong Zhao, Xiaohua Hu:
    A Novel Dual-Attention Deep Neural Network With Multi-Scale Fusion Feature Processing for Predicting Transcription Factor Binding Sites. 2288-2298
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