Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. - Tawsifur Rahman; Amith Khandakar; Muhammad Abdul Kadir; Khandaker Reajul Islam; Khandakar F. Islam; Rashid Mazhar; Tahir Hamid; Mohammad Tariqul Islam 001; Saad Bin Abul Kashem; Zaid Bin Mahbub; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury (IEEE Access, 2020)

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. - Sakib Mahmud; Nabil Ibtehaz; Amith Khandakar; Anas M. Tahir; Tawsifur Rahman; Khandaker Reajul Islam; Md. Shafayet Hossain; M. Sohel Rahman; Mohammad Tariqul Islam 001; Muhammad Enamul Hoque Chowdhury (CoRR, 2021)

HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images. - Tawsifur Rahman; Amith Khandakar; Khandaker Reajul Islam; Md Mohiuddin Soliman; Mohammad Tariqul Islam 001; Ahmed Elsayed; Yazan Qiblawey; Sakib Mahmud; Ashiqur Rahman; Farayi Musharavati; Erfan Zalnezhad; Muhammad Enamul Hoque Chowdhury (IEEE Access, 2022)

COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. - Tawsifur Rahman; Alex Akinbi; Muhammad Enamul Hoque Chowdhury; Tarik A. Rashid; Abdulkadir Sengür; Amith Khandakar; Khandaker Reajul Islam; Aras Masood Ismael (Health Inf. Sci. Syst., 2022)

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. - Sakib Mahmud; Nabil Ibtehaz; Amith Khandakar; Anas M. Tahir; Tawsifur Rahman; Khandaker Reajul Islam; Md. Shafayet Hossain; M. Sohel Rahman; Farayi Musharavati; Mohamed Arselene Ayari; Mohammad Tariqul Islam 001; Muhammad Enamul Hoque Chowdhury (Sensors, 2022)

Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3. - Md. Sohanur Rahman; Khandaker Reajul Islam; Johayra Prithula; Jaya Kumar; Mufti Mahmud; Mohammed Fasihul Alam; Mamun Bin Ibne Reaz; Abdulrahman Alqahtani; Muhammad E. H. Chowdhury (BMC Medical Informatics Decis. Mak., 2024)

Correction: Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3. - Md. Sohanur Rahman; Khandaker Reajul Islam; Johayra Prithula; Jaya Kumar; Mufti Mahmud; Mohammed Fasihul Alam; Mamun Bin Ibne Reaz; Abdulrahman Alqahtani; Muhammad E. H. Chowdhury (BMC Medical Informatics Decis. Mak., 2024)

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI. - Oishi Jyoti; Hafsa Binte Kibria; Zareen Tasnim Pear; Md. Nahiduzzaman; Md. Faysal Ahamed; Khandaker Reajul Islam; Jaya Kumar; Muhammad E. H. Chowdhury (IEEE Access, 2025)

A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients. - Johayra Prithula; Khandaker Reajul Islam; Jaya Kumar; Toh Leong Tan; Mamun Bin Ibne Reaz; Tawsifur Rahman; Susu M. Zughaier; Muhammad Salman Khan 001; M. Murugappan; Muhammad E. H. Chowdhury (Comput. Biol. Medicine, 2025)

Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis. - Md. Shaheenur Islam Sumon; Khandaker Reajul Islam; Tanzila Rafique; Gazi Shamim Hassan; Md Sakib Abrar Hossain; Kanchon Kanti Podder; Noha Barhom; Faleh Tamimi; Abdulrahman Alqahtani; Muhammad E. H. Chowdhury (CoRR, 2025)

Self-CephaloNet: a two-stage novel framework using operational neural network for cephalometric analysis. - Md. Shaheenur Islam Sumon; Khandaker Reajul Islam; Md Sakib Abrar Hossain; Tanzila Rafique; Ranjit Ghosh; Gazi Shamim Hassan; Kanchon Kanti Podder; Noha Barhom; Faleh Tamimi; Muhammad E. H. Chowdhury (Neural Comput. Appl., 2025)