IEEE Journal of Biomedical and Health Informatics

Papers
(The median citation count of IEEE Journal of Biomedical and Health Informatics is 3. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Multi-Scale Self-Guided Attention for Medical Image Segmentation339
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images260
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL184
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation180
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation154
Emotion Recognition From Multi-Channel EEG via Deep Forest148
Hard Attention Net for Automatic Retinal Vessel Segmentation125
Measuring Domain Shift for Deep Learning in Histopathology122
Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method119
PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography119
Deep Learning for Diabetes: A Systematic Review115
COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network110
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification108
On the Design of Blockchain-Based ECDSA With Fault-Tolerant Batch Verification Protocol for Blockchain-Enabled IoMT105
Multi-Class Skin Lesion Detection and Classification via Teledermatology99
A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram97
Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images92
Human Gait Analysis in Neurodegenerative Diseases: A Review91
Classification of Alzheimer’s Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning90
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation89
An Efficient Ciphertext-Policy Weighted Attribute-Based Encryption for the Internet of Health Things89
A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process84
Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System83
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition82
Limitations of Transformers on Clinical Text Classification82
Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare80
CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection79
Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract78
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study78
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey78
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 201977
An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer’s Disease Diagnosis Using Structural MRI76
HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation76
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images75
Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data73
Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease72
A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification71
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning71
Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation71
Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression70
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks70
CP-BDHCA: Blockchain-Based Confidentiality-Privacy Preserving Big Data Scheme for Healthcare Clouds and Applications70
Fall Detection With UWB Radars and CNN-LSTM Architecture70
Accurate Retinal Vessel Segmentation in Color Fundus Images via Fully Attention-Based Networks69
An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment67
Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images66
Distant Domain Transfer Learning for Medical Imaging66
IoMT: A COVID-19 Healthcare System Driven by Federated Learning and Blockchain66
Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation66
Hybrid Intelligence-Driven Medical Image Recognition for Remote Patient Diagnosis in Internet of Medical Things65
Multi-Level Attention Network for Retinal Vessel Segmentation64
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study64
Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation64
Automatic Eyeblink Artifact Removal From EEG Signal Using Wavelet Transform With Heuristically Optimized Threshold63
An Intrusion Detection Mechanism for Secured IoMT Framework Based on Swarm-Neural Network63
Early Detection of Alzheimer's Disease with Blood Plasma Proteins Using Support Vector Machines63
Privacy-Preserving Federated Learning for Internet of Medical Things Under Edge Computing62
Tufts Dental Database: A Multimodal Panoramic X-Ray Dataset for Benchmarking Diagnostic Systems62
Deep Anatomical Context Feature Learning for Cephalometric Landmark Detection61
Wearable Cuff-Less Blood Pressure Estimation at Home via Pulse Transit Time61
A Deep Learning Method for Breast Cancer Classification in the Pathology Images61
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation60
Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security60
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks59
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation59
EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism58
Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease58
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images58
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics58
Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach57
Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses57
Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network57
MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images57
A Visually Interpretable Deep Learning Framework for Histopathological Image-Based Skin Cancer Diagnosis57
A Home Telemedicine System for Continuous Respiratory Monitoring56
A Privacy-Preserving Cross-Domain Healthcare Wearables Recommendation Algorithm Based on Domain-Dependent and Domain-Independent Feature Fusion56
Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning56
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB56
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears55
DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation55
“Automatic Ingestion Monitor Version 2” – A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images55
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification55
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets53
Continuous PPG-Based Blood Pressure Monitoring Using Multi-Linear Regression52
Fetal ECG Extraction From Maternal ECG Using Attention-Based CycleGAN52
Reinventing 2D Convolutions for 3D Images51
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations51
A Privacy-Preserving Mobile and Fog Computing Framework to Trace and Prevent COVID-19 Community Transmission51
A Combinatorial Deep Learning Structure for Precise Depth of Anesthesia Estimation From EEG Signals50
Multi-Modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training50
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification49
Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation49
Doppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis49
Personalized Real-Time Federated Learning for Epileptic Seizure Detection49
An Improved Neural Network Based on SENet for Sleep Stage Classification49
Predicting Drug Response Based on Multi-Omics Fusion and Graph Convolution49
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective49
ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach49
DCPR-GAN: Dental Crown Prosthesis Restoration Using Two-Stage Generative Adversarial Networks48
Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks48
Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images48
Unsupervised Eye Blink Artifact Detection From EEG With Gaussian Mixture Model48
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure48
COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring48
Ophthalmic Disease Detection via Deep Learning With a Novel Mixture Loss Function48
Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic With Deep Learning48
VaCoChain: Blockchain-Based 5G-Assisted UAV Vaccine Distribution Scheme for Future Pandemics47
Machine Learning for Real-Time Heart Disease Prediction47
M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging47
Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method47
Single Volume Image Generator and Deep Learning-Based ASD Classification47
Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data46
EEG Fingerprints of Task-Independent Mental Workload Discrimination46
Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture46
Large AI Models in Health Informatics: Applications, Challenges, and the Future45
Cuff-Less Blood Pressure Estimation From Photoplethysmography via Visibility Graph and Transfer Learning45
Human Activity Recognition Based on Dynamic Active Learning45
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation45
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis45
Disease Prediction via Graph Neural Networks45
SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging44
Machine Learning Techniques for Ophthalmic Data Processing: A Review44
5G in Healthcare: From COVID-19 to Future Challenges44
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings44
On the Physical Layer Security of Federated Learning Based IoMT Networks44
Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks44
Simultaneous Eye Blink Characterization and Elimination From Low-Channel Prefrontal EEG Signals Enhances Driver Drowsiness Detection43
TAPER: Time-Aware Patient EHR Representation43
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis43
Early Detection of Late Onset Sepsis in Premature Infants Using Visibility Graph Analysis of Heart Rate Variability43
A Multi-Stream Convolutional Neural Network for Classification of Progressive MCI in Alzheimer’s Disease Using Structural MRI Images43
Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization43
MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber Segmentation in Edge Computing Environments43
Validation of Inertial Sensing-Based Wearable Device for Tremor and Bradykinesia Quantification43
Attention-Based LSTM for Non-Contact Sleep Stage Classification Using IR-UWB Radar43
Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults With Dementia42
End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging42
Explainable Diabetic Retinopathy Detection and Retinal Image Generation42
Toward a Fully Automated Artificial Pancreas System Using a Bioinspired Reinforcement Learning Design: In Silico Validation42
A Heart Rate Monitoring Framework for Real-World Drivers Using Remote Photoplethysmography42
A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea42
Deep Neural Networks for Survival Analysis Using Pseudo Values42
Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals42
Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data42
Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images41
RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal Pathology41
IMU-Based Gait Normalcy Index Calculation for Clinical Evaluation of Impaired Gait41
Privacy-Preserved Electronic Medical Record Exchanging and Sharing: A Blockchain-Based Smart Healthcare System40
Disrupting Healthcare Silos: Addressing Data Volume, Velocity and Variety With a Cloud-Native Healthcare Data Ingestion Service40
FABNet: Fusion Attention Block and Transfer Learning for Laryngeal Cancer Tumor Grading in P63 IHC Histopathology Images40
Feature Extraction Method Based on Filter Banks and Riemannian Tangent Space in Motor-Imagery BCI40
Non-invasive Monitoring of Three Glucose Ranges Based On ECG By Using DBSCAN-CNN40
Multi-Modal MRI Image Synthesis via GAN With Multi-Scale Gate Mergence40
Unsupervised Domain Adaptation Based Image Synthesis and Feature Alignment for Joint Optic Disc and Cup Segmentation40
MVFusFra: A Multi-View Dynamic Fusion Framework for Multimodal Brain Tumor Segmentation40
An Artificial Intelligence Multiprocessing Scheme for the Diagnosis of Osteosarcoma MRI Images39
RFormer: Transformer-Based Generative Adversarial Network for Real Fundus Image Restoration on a New Clinical Benchmark39
Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation39
An Adaptive Kalman Filter Bank for ECG Denoising39
Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations39
Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks39
Heartbeats Classification Using Hybrid Time-Frequency Analysis and Transfer Learning Based on ResNet39
An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors38
Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation38
Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease38
Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare38
CDP-UA: Cognitive Data Processing Method Wearable Sensor Data Uncertainty Analysis in the Internet of Things Assisted Smart Medical Healthcare Systems38
Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning37
MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images37
Securing Multimedia Using a Deep Learning Based Chaotic Logistic Map37
Lacsogram: A New EEG Tool to Diagnose Alzheimer's Disease37
Choquet Integral and Coalition Game-Based Ensemble of Deep Learning Models for COVID-19 Screening From Chest X-Ray Images37
Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images37
Speckle Noise Reduction for OCT Images Based on Image Style Transfer and Conditional GAN37
Dynamic Domain Adaptation for Class-Aware Cross-Subject and Cross-Session EEG Emotion Recognition36
Developing and Evaluating a Mixed Sensor Smart Chair System for Real-Time Posture Classification: Combining Pressure and Distance Sensors36
Dehaze of Cataractous Retinal Images Using an Unpaired Generative Adversarial Network36
Gradient Boosting Machine and Efficient Combination of Features for Speech-Based Detection of COVID-1936
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images36
Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists36
Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images36
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks35
PerAE: An Effective Personalized AutoEncoder for ECG-Based Biometric in Augmented Reality System35
Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT35
A Cascaded Multi-Stage Framework for Automatic Detection and Segmentation of Pulmonary Nodules in Developing Countries35
Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology35
Video-Based Detection of Generalized Tonic-Clonic Seizures Using Deep Learning35
Detecting Medical Misinformation on Social Media Using Multimodal Deep Learning35
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records35
Certificateless Public Auditing Scheme With Data Privacy and Dynamics in Group User Model of Cloud-Assisted Medical WSNs35
An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest35
Blind Monaural Source Separation on Heart and Lung Sounds Based on Periodic-Coded Deep Autoencoder34
SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images34
Blockchain-Based Privacy Preservation Scheme for Misbehavior Detection in Lightweight IoMT Devices34
Clouds Proportionate Medical Data Stream Analytics for Internet of Things-Based Healthcare Systems34
Toward Robust, Adaptiveand Reliable Upper-Limb Motion Estimation Using Machine Learning and Deep Learning–A Survey in Myoelectric Control34
ML-Net: Multi-Channel Lightweight Network for Detecting Myocardial Infarction34
Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images34
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets34
ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation33
Intelligent Assistant Diagnosis System of Osteosarcoma MRI Image Based on Transformer and Convolution in Developing Countries33
AI-Driven Synthetic Biology for Non-Small Cell Lung Cancer Drug Effectiveness-Cost Analysis in Intelligent Assisted Medical Systems33
IIMFCBM: Intelligent Integrated Model for Feature Extraction and Classification of Brain Tumors Using MRI Clinical Imaging Data in IoT-Healthcare33
An Effective Semi-Supervised Approach for Liver CT Image Segmentation33
A New Dataset for Facial Motion Analysis in Individuals With Neurological Disorders33
A Data Driven End-to-End Approach for In-the-Wild Monitoring of Eating Behavior Using Smartwatches33
Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task Learning33
A Deep Learning Approach to Predict Diabetes’ Cardiovascular Complications From Administrative Claims32
HCET: Hierarchical Clinical Embedding With Topic Modeling on Electronic Health Records for Predicting Future Depression32
PCA-Based Multi-Wavelength Photoplethysmography Algorithm for Cuffless Blood Pressure Measurement on Elderly Subjects32
GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation32
FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition32
Neonatal Heart and Lung Sound Quality Assessment for Robust Heart and Breathing Rate Estimation for Telehealth Applications32
Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction With Pulse Arrival Time in Large Open Databases32
Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions32
Self-Supervised Transfer Learning Based on Domain Adaptation for Benign-Malignant Lung Nodule Classification on Thoracic CT32
An ECG Signal Denoising Method Using Conditional Generative Adversarial Net32
EMG Signal Filtering Based on Variational Mode Decomposition and Sub-Band Thresholding31
Joint Learning of Multi-Level Tasks for Diabetic Retinopathy Grading on Low-Resolution Fundus Images31
A Dual-Encoder-Single-Decoder Based Low-Dose CT Denoising Network31
A Comprehensive Explanation Framework for Biomedical Time Series Classification31
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels31
Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test31
Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers31
The Effect of Quality Control on Accuracy of Digital Pathology Image Analysis31
Cancelable HD-sEMG-Based Biometrics for Cross-Application Discrepant Personal Identification31
Noncontact Monitoring of Heart Rate and Heart Rate Variability in Geriatric Patients Using Photoplethysmography Imaging31
sEMG-Based Gesture Recognition Using Deep Learning From Noisy Labels30
Automatic Detection of QRS Complexes Using Dual Channels Based on U-Net and Bidirectional Long Short-Term Memory30
Screening For Depression With Retrospectively Harvested Private Versus Public Text30
An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection30
Transformer Model for Functional Near-Infrared Spectroscopy Classification30
Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review30
WeDea: A New EEG-Based Framework for Emotion Recognition30
Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 Diabetes30
Discriminative Cervical Lesion Detection in Colposcopic Images With Global Class Activation and Local Bin Excitation29
Graph Based Multichannel Feature Fusion for Wrist Pulse Diagnosis29
Digital Twins in Healthcare: An Architectural Proposal and Its Application in a Social Distancing Case Study29
Depression Analysis and Recognition Based on Functional Near-Infrared Spectroscopy29
MultiPredGO: Deep Multi-Modal Protein Function Prediction by Amalgamating Protein Structure, Sequence, and Interaction Information29
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images29
A Secure and Decentralized Trust Management Scheme for Smart Health Systems29
A Multiprocessing Scheme for PET Image Pre-Screening, Noise Reduction, Segmentation and Lesion Partitioning29
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video29
Exploiting Shared Knowledge From Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation29
Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification29
Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation29
Few-Shot Class-Incremental Learning for Medical Time Series Classification29
ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network29
MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation29
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