OOIR: Observatory of International Research

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 2021-05-01 to 2025-05-01.)

Article	Citations
Table of Contents	239
Table of Contents	227
Unsupervised Joint Domain Adaptation for Decoding Brain Cognitive States From tfMRI Images	206
Front Cover	159
Front Cover	142
IEEE Journal of Biomedical and Health Informatics	139
Towards Clinical Application of Enhanced Timed Up and Go with Markerless Motion Capture and Machine Learning for Balance and Gait Assessment	129
Tracking Tidal Volume From Holter and Wearable Armband Electrocardiogram Monitoring	126
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach	126
A Deep Reinforcement Learning-Based Feature Selection Method for Invasive Disease Event Prediction Using Imbalanced Follow-Up Data	125
Table of Contents	121
Physiologically-Informed Gaussian Processes for Interpretable Modelling of Psycho-Physiological States	120
M2Trans: Multi-Modal Regularized Coarse-to-Fine Transformer for Ultrasound Image Super-Resolution	116
Towards Real-Time Sleep Stage Prediction and Online Calibration Based on Architecturally Switchable Deep Learning Models	115
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective	114
Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis	112
A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images	111
Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images	109
Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting	109
Predicting Recurrence for Patients With Ischemic Cerebrovascular Events Based on Process Discovery and Transfer Learning	106
Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders	105
Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval	104
Multi-Discriminator Adversarial Convolutional Network for Nerve Fiber Segmentation in Confocal Corneal Microscopy Images	102
Novel Techniques to Assess Predictive Systems and Reduce Their Alarm Burden	101
Online Hard Patch Mining Using Shape Models and Bandit Algorithm for Multi-Organ Segmentation	98

Segmentation of Carotid Arteries From Three-Dimensional Black-Blood Magnetic Resonance Imaging With Sparse Annotation Using a Multi-Dimensional Hybrid Model	97
On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks	92
Hybrid Deep Morpho-Temporal Framework for Oscillometric Blood Pressure Measurement	92
NPI-RGCNAE: Fast Predicting ncRNA-Protein Interactions Using the Relational Graph Convolutional Network Auto-Encoder	91
Reconstruction of Missing Samples in Antepartum and Intrapartum FHR Measurements Via Mini-Batch-Based Minimized Sparse Dictionary Learning	90
Comprehensive Analysis System for Automated Respiratory Cycle Segmentation and Crackle Peak Detection	89
Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data	89
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data	89
A Review on Intelligent Systems for ECG Analysis: from Flexible Sensing Technology to Machine Learning	87
A Region and Category Confidence-Based Multi-Task Network for Carotid Ultrasound Image Segmentation and Classification	86
Improving Patient-ventilator Synchrony during Pressure Support Ventilation based on Reinforcement Learning Algorithm	85
Self-Supervised Monocular Depth Estimation for Endoscopic Imaging	84
Bilateral Asymmetry of Hand Force Production in Dynamic Physically-Coupled Tasks	84
A multi-objective comprehensive framework for predicting protein-peptide interactions and binding residues	83
Semantic-Enhanced Graph Contrastive Learning With Adaptive Denoising for Drug Repositioning	82
Multimodal Drug Target Binding Affinity Prediction Using Graph Local Substructure	82
On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook	81
Dynamic Local Conformal Reinforcement Network (DLCR) for Aortic Dissection Centerline Tracking	80
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis	79
BreastCancerNet: Flask-Enabled Attention-Driven Hybrid Dual DNN Framework for Real-Time Breast Cancer Prediction	79
A Proposal for Automatic Evaluation of Human Functional Limitations in Activities of Daily Living	77
Multi-Scale Spatio-Temporal Attention Network for Epileptic Seizure Prediction	77
PhysCL: Knowledge-Aware Contrastive Learning of Physiological Signal Models for Cuff-Less Blood Pressure Estimation	77
An Efficient Human Activity Recognition In-Memory Computing Architecture Development for Healthcare Monitoring	77
Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching	75
Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images	74
Interpretable Staging Prediction of Liver Cancer Based on Joint-Knowledge Network	74
Voice Biomarkers of Recovery From Acute Respiratory Illness	74
Generative Adversarial Network for Trimodal Medical Image Fusion Using Primitive Relationship Reasoning	73
Generative AI-based Data Completeness Augmentation Algorithm for Data-driven Smart Healthcare	72
Hierarchical Graph Transformer With Contrastive Learning for Gene Regulatory Network Inference	71
An Uncertainty-Aware and Sex-Prior Guided Biological Age Estimation From Orthopantomogram Images	70
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-Branch Learning	70
Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task Learning	70
Classifying the Risk of Cognitive Impairment Using Sequential Gait Characteristics and Long Short-Term Memory Networks	69
Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis	67
PRIOR: Prior-Regularized Iterative Optimization Reconstruction For 4D CBCT	67
Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction	67
Real-Time Learning from an Expert in Deep Recommendation Systems with Application to mHealth for Physical Exercises	66
Retina-TransNet: A Gradient-Guided Few-Shot Retinal Vessel Segmentation Net	66
A Novel Dual Layer Cascade Reliability Framework for an Informed and Intuitive Clinician-AI Interaction in Diagnosis of Colorectal Cancer Polyps	65
Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network With Attention	65