IEEE Journal of Biomedical and Health Informatics

Papers
(The H4-Index of IEEE Journal of Biomedical and Health Informatics is 65. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-10-01 to 2025-10-01.)
ArticleCitations
IEEE Journal of Biomedical and Health Informatics241
Front Cover165
Table of Contents158
Table of Contents155
Front Cover149
Unsupervised Joint Domain Adaptation for Decoding Brain Cognitive States From tfMRI Images149
Lightweight Network Enhancing High-Resolution Feature Representation for Efficient Low Dose CT Denoising144
Bilateral Asymmetry of Hand Force Production in Dynamic Physically-Coupled Tasks139
BreastCancerNet: Flask-Enabled Attention-Driven Hybrid Dual DNN Framework for Real-Time Breast Cancer Prediction133
SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation133
Improving Patient-Ventilator Synchrony During Pressure Support Ventilation Based on Reinforcement Learning Algorithm133
A multi-objective comprehensive framework for predicting protein-peptide interactions and binding residues132
DHT-Net: Dynamic Hierarchical Transformer Network for Liver and Tumor Segmentation130
Towards Real-Time Sleep Stage Prediction and Online Calibration Based on Architecturally Switchable Deep Learning Models129
Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis119
Novel Techniques to Assess Predictive Systems and Reduce Their Alarm Burden115
Online Hard Patch Mining Using Shape Models and Bandit Algorithm for Multi-Organ Segmentation113
Comprehensive Analysis System for Automated Respiratory Cycle Segmentation and Crackle Peak Detection111
Table of Contents110
Multi-Scale Spatio-Temporal Attention Network for Epileptic Seizure Prediction109
A Semi-supervised Ultrasound Image Segmentation Network Integrating Enhanced Mask Learning and Dynamic Temperature-controlled Self-distillation109
A Deep Reinforcement Learning-Based Feature Selection Method for Invasive Disease Event Prediction Using Imbalanced Follow-Up Data108
A Proposal for Automatic Evaluation of Human Functional Limitations in Activities of Daily Living107
A Review on Intelligent Systems for ECG Analysis: From Flexible Sensing Technology to Machine Learning99
Securing Multimedia Using a Deep Learning Based Chaotic Logistic Map98
Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images97
Semantic-Enhanced Graph Contrastive Learning With Adaptive Denoising for Drug Repositioning97
Real-Time Learning from an Expert in Deep Recommendation Systems with Application to mHealth for Physical Exercises96
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data94
Voice Biomarkers of Recovery From Acute Respiratory Illness91
Multimodal Drug Target Binding Affinity Prediction Using Graph Local Substructure90
NPI-RGCNAE: Fast Predicting ncRNA-Protein Interactions Using the Relational Graph Convolutional Network Auto-Encoder89
In Vitro Diagnosis of Parkinson's Disease Based on Facial Expression and Behavioral Gait Data88
A LLM-Based Hybrid-Transformer Diagnosis System in Healthcare88
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning86
Federated Transferring Multi-Channel CNN for Diagnosis of Parkinson's Disease under Unseen and Small Data85
Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis84
Reconstruction of Missing Samples in Antepartum and Intrapartum FHR Measurements Via Mini-Batch-Based Minimized Sparse Dictionary Learning83
SemBox: Semantic Interoperability in a Box for Wearable e-Health Devices83
Retina-TransNet: A Gradient-Guided Few-Shot Retinal Vessel Segmentation Net82
Hybrid Deep Morpho-Temporal Framework for Oscillometric Blood Pressure Measurement81
Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction79
PRIOR: Prior-Regularized Iterative Optimization Reconstruction For 4D CBCT78
On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks78
A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images76
Beyond Contact: An Open-Set Biometric Identification System Using Radar-Extracted Heart Signals76
An Uncertainty-Aware and Sex-Prior Guided Biological Age Estimation From Orthopantomogram Images75
Multi-Branching Temporal Convolutional Network for Sepsis Prediction74
Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching74
Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting74
M2Trans: Multi-Modal Regularized Coarse-to-Fine Transformer for Ultrasound Image Super-Resolution73
Scenario Adaptive Cuffless Blood Pressure Estimation by Integrating Cardiovascular Coupling Effects73
Video-Based Eye Blink Identification and Classification73
Face2PPG: An Unsupervised Pipeline for Blood Volume Pulse Extraction From Faces73
An Efficient Human Activity Recognition In-Memory Computing Architecture Development for Healthcare Monitoring72
Precise Decision Energized Collaborative Strategies to Achieve High-quality and Large-scale Neuronal Reconstruction69
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis68
Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network With Attention68
Deep Survival Analysis With Latent Clustering and Contrastive Learning67
Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer67
Multi-Discriminator Adversarial Convolutional Network for Nerve Fiber Segmentation in Confocal Corneal Microscopy Images66
PCXRNet: Pneumonia Diagnosis From Chest X-Ray Images Using Condense Attention Block and Multiconvolution Attention Block66
Predicting Drug Response Based on Multi-Omics Fusion and Graph Convolution66
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application66
Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval65
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach65
Physiologically-Informed Gaussian Processes for Interpretable Modelling of Psycho-Physiological States65
Automated Pediatric Delirium Recognition via Deep Learning-Powered Video Analysis65
MACTFusion: Lightweight Cross Transformer for Adaptive Multimodal Medical Image Fusion65
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