Khandaker Reajul Islam

Bangabandhu Sheikh Mujib Medical University — BD

Medicine · Health Sciences

10h-index3.4kcitations21works5.62yr avg
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Research Topics

COVID-19 diagnosis using AI(8), Machine Learning in Healthcare(7), Sepsis Diagnosis and Treatment(5), ECG Monitoring and Analysis(4), AI in cancer detection(3)

Publications21 total

Sepsis mortality prediction using machine learning and deep learning - a systematic review
BMC Medical Informatics and Decision Making·2025Open Access
Self-CephaloNet: a two-stage novel framework using operational neural network for cephalometric analysis
Neural Computing and Applications·2025· 3 citedOpen Access
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis
arXiv (Cornell University)·2025Open Access
A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI
IEEE Access·2025· 2 citedOpen Access
A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients
Computers in Biology and Medicine·2024· 4 citedOpen Access
Correction: Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3
BMC Medical Informatics and Decision Making·2024· 4 citedOpen Access
Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3
BMC Medical Informatics and Decision Making·2024· 15 citedOpen Access
Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights
Respiratory Research·2024· 18 citedOpen Access
Interpretable Deep Learning Model for Tuberculosis Detection Using X-Ray Images
2024· 4 cited
Machine Learning-Based Early Prediction of Sepsis Using Electronic Health Records: A Systematic Review
Journal of Clinical Medicine·2023· 72 citedOpen Access
Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images
Studies in big data·2023
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
Diagnostics·2022· 9 citedOpen Access
Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices
2022· 1 cited
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Sensors·2022· 85 citedOpen Access
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Health Information Science and Systems·2022· 106 citedOpen Access
Wearable Real-Time Epileptic Seizure Detection and Warning System
2022· 6 cited
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images
IEEE Access·2022· 23 citedOpen Access
Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique
Diagnostics·2021· 51 citedOpen Access
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray
Applied Sciences·2020· 590 citedOpen Access
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
IEEE Access·2020· 565 citedOpen Access
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Frequent Co-authors

Muhammad E. H. Chowdhury(21), Tawsifur Rahman(12), Amith Khandakar(10), Mamun Bin Ibne Reaz(7), Jaya Kumar(7), Mohammad Tariqul Islam(5), Johayra Prithula(5), Susu M. Zughaier(4), Muhammad Abdul Kadir(3), Zaid Bin Mahbub(3), Muhammad Salman Khan(3), Toh Leong Tan(3), Md. Shaheenur Islam Sumon(3), Abdulrahman Alqahtani(3), Md. Sakib Abrar Hossain(3), Kanchon Kanti Podder(3), Rashid Mazhar(2), Saad Bin Abul Kashem(2), Mohamed Arselene Ayari(2), Sakib Mahmud(2)