Khandaker Reajul Islam

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sepsis mortality prediction using machine learning and deep learning - a systematic review.
BMC Medical Informatics Decis. Mak.
Mohannad Natheef AbuHaweeleh, Adiba Tabassum Chowdhury, Mehrin Newaz, Purnata Saha, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury, Shona Pedersen
2025 J jnl
A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI.
IEEE Access
Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md. Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury
2025 J jnl
A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients.
Comput. Biol. Medicine
Johayra Prithula, Khandaker Reajul Islam, Jaya Kumar, Toh Leong Tan, Mamun Bin Ibne Reaz, Tawsifur Rahman, Susu M. Zughaier, Muhammad Salman Khan, M. Murugappan, Muhammad E. H. Chowdhury
2025 J jnl
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis.
CoRR
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
2025 J jnl
Self-CephaloNet: a two-stage novel framework using operational neural network for cephalometric analysis.
Neural Comput. Appl.
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
2024 J jnl
Correction: Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3.
BMC Medical Informatics Decis. Mak.
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
2024 J jnl
Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3.
BMC Medical Informatics Decis. Mak.
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
2022 J jnl
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
Sensors
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, Muhammad Enamul Hoque Chowdhury
2022 J jnl
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network.
Health Inf. Sci. Syst.
Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael
2022 J jnl
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images.
IEEE Access
Tawsifur Rahman, Amith Khandakar, Khandaker Reajul Islam, Md Mohiuddin Soliman, Mohammad Tariqul Islam, Ahmed ElSayed, Yazan Qiblawey, Sakib Mahmud, Ashiqur Rahman, Farayi Musharavati, Erfan Zalnezhad, Muhammad Enamul Hoque Chowdhury
2021 J jnl
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
CoRR
Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury
2021 J jnl
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network.
CoRR
Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael
2020 J jnl
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization.
IEEE Access
Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Reajul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Bin Abul Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury