Khandaker Reajul Islam

According to our database, Khandaker Reajul Islam authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 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, January, 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, M. Murugappan, Muhammad E. H. Chowdhury

Comput. Biol. Medicine, 2025

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

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., December, 2024

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., December, 2024

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, Muhammad Enamul Hoque Chowdhury

Sensors, 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

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, Ahmed Elsayed, Yazan Qiblawey, Sakib Mahmud, Ashiqur Rahman, Farayi Musharavati, Erfan Zalnezhad, Muhammad Enamul Hoque Chowdhury

IEEE Access, 2022

2021

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, Muhammad Enamul Hoque Chowdhury

CoRR, 2021

2020

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, Saad Bin Abul Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury

IEEE Access, 2020