IEEE Journal of Translational Engineering in Health and Medicine

Papers
(The H4-Index of IEEE Journal of Translational Engineering in Health and Medicine is 16. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor69
xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography62
Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation42
A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data35
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG35
Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study34
Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring32
Assessment of Carotid Arterial Stiffness in Community Settings With ARTSENSĀ®27
Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening27
Pediatric Seizure Prediction in Scalp EEG Using a Multi-Scale Neural Network With Dilated Convolutions27
Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure24
Automated Diagnosis of COVID-19 Using Deep Features and Parameter Free BAT Optimization24
Registration Techniques for Clinical Applications of Three-Dimensional Augmented Reality Devices23
Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI19
Backpropagation Neural Network-Based Machine Learning Model for Prediction of Blood Urea and Glucose in CKD Patients17
A Hybrid Convolutional Neural Network Model for Automatic Diabetic Retinopathy Classification From Fundus Images16
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