Can AI Help in Screening Viral and COVID-19 Pneumonia? - Muhammad Enamul Hoque Chowdhury; Tawsifur Rahman; Amith Khandakar; Rashid Mazhar; Muhammad Abdul Kadir; Zaid Bin Mahbub; Khandakar Reajul Islam; Muhammad Salman Khan 001; Atif Iqbal; Nasser Al-Emadi; Mamun Bin Ibne Reaz; Mohammad Tariqul Islam 001 (IEEE Access, 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 001; Saad Bin Abul Kashem; Zaid Bin Mahbub; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury (IEEE Access, 2020)

Can AI help in screening Viral and COVID-19 pneumonia? - Muhammad Enamul Hoque Chowdhury; Tawsifur Rahman; Amith Khandakar; Rashid Mazhar; Muhammad Abdul Kadir; Zaid Bin Mahbub; Khandakar Reajul Islam; Muhammad Salman Khan 001; Atif Iqbal; Nasser Al-Emadi; Mamun Bin Ibne Reaz (CoRR, 2020)

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray. - Tawsifur Rahman; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Khandakar Reajul Islam; Khandaker F. Islam; Zaid Bin Mahbub; Muhammad Abdul Kadir; Saad Bin Abul Kashem (CoRR, 2020)

Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI. - Anas M. Tahir; Yazan Qiblawey; Amith Khandakar; Tawsifur Rahman; Uzair Khurshid; Farayi Musharavati; Serkan Kiranyaz; Muhammad Enamul Hoque Chowdhury (CoRR, 2020)

Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization. - Tawsifur Rahman; Amith Khandakar; Muhammad Abdul Kadir; Khandakar Reajul Islam; Khandaker F. Islam; Rashid Mazhar; Tahir Hamid; Mohammad Tariqul Islam 001; Zaid Bin Mahbub; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury (CoRR, 2020)

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images. - Tawsifur Rahman; Amith Khandakar; Yazan Qiblawey; Anas M. Tahir; Serkan Kiranyaz; Saad Bin Abul Kashem; Mohammad Tariqul Islam 001; Somaya Al-Máadeed; Susu M. Zughaier; Muhammad Salman Khan 001; Muhammad Enamul Hoque Chowdhury (CoRR, 2020)

An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control. - Mahmoud Dahmani; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Tawsifur Rahman; Khaled Al-Jayyousi; Abdalla Hefny; Serkan Kiranyaz (Sensors, 2020)

Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters. - Tawsifur Rahman; Amith Khandakar; Md Enamul Hoque; Nabil Ibtehaz; Saad Bin Abul Kashem; Reehum Masud; Lutfunnahar Shampa; Mohammad Mehedi Hasan; Mohammad Tariqul Islam 001; Somaya Al-Máadeed; Susu M. Zughaier; Saif Badran; et al. (IEEE Access, 2021)

A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations. - Fahmida Haque; Mamun Bin Ibne Reaz; Muhammad Enamul Hoque Chowdhury; Sawal Hamid Md. Ali; Ahmad Ashrif A. Bakar; Tawsifur Rahman; Syoji Kobashi; Chitra A. Dhawale; Mohammad Arif Sobhan Bhuiyan (Comput. Biol. Medicine, 2021)

A machine learning model for early detection of diabetic foot using thermogram images. - Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md. Ali; Anwarul Hasan; Serkan Kiranyaz; Tawsifur Rahman; Rashad Alfkey; Ahmad Ashrif A. Bakar; Rayaz A. Malik (Comput. Biol. Medicine, 2021)

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. - Tawsifur Rahman; Amith Khandakar; Yazan Qiblawey; Anas M. Tahir; Serkan Kiranyaz; Saad Bin Abul Kashem; Mohammad Tariqul Islam 001; Somaya Al-Máadeed; Susu M. Zughaier; Muhammad Salman Khan 001; Muhammad Enamul Hoque Chowdhury (Comput. Biol. Medicine, 2021)

COVID-19 infection localization and severity grading from chest X-ray images. - Anas M. Tahir; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Tawsifur Rahman; Yazan Qiblawey; Uzair Khurshid; Serkan Kiranyaz; Nabil Ibtehaz; M. Sohel Rahman; Somaya Al-Máadeed; Sakib Mahmud; Maymouna Ezeddin; et al. (Comput. Biol. Medicine, 2021)

Detection and severity classification of COVID-19 in CT images using deep learning. - Yazan Qiblawey; Anas M. Tahir; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Serkan Kiranyaz; Tawsifur Rahman; Nabil Ibtehaz; Sakib Mahmud; Somaya Al-Madeed; Farayi Musharavati (CoRR, 2021)

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images. - Anas M. Tahir; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Tawsifur Rahman; Yazan Qiblawey; Uzair Khurshid; Serkan Kiranyaz; Nabil Ibtehaz; Mohammad Shohel Rahman; Somaya Al-Madeed; Khaled Hameed; Tahir Hamid; et al. (CoRR, 2021)

QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds. - Muhammad Enamul Hoque Chowdhury; Nabil Ibtehaz; Tawsifur Rahman; Yosra Magdi Salih Mekki; Yazan Qiblawey; Sakib Mahmud; Maymouna Ezeddin; Susu M. Zughaier; Sumaya Ali S. A. Al-Máadeed (CoRR, 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 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)

QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model. - Tawsifur Rahman; Amith Khandakar; Farhan Fuad Abir; Md. Ahasan Atick Faisal; Md. Shafayet Hossain; Kanchon Kanti Podder; Tariq O. Abbas; Mohammed Fasihul Alam; Saad Bin Abul Kashem; Mohammad Tariqul Islam 001; Susu M. Zughaier; Muhammad Enamul Hoque Chowdhury (Comput. Biol. Medicine, 2022)

Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images. - Anas M. Tahir; Yazan Qiblawey; Amith Khandakar; Tawsifur Rahman; Uzair Khurshid; Farayi Musharavati; Mohammad Tariqul Islam 001; Serkan Kiranyaz; Somaya Al-Máadeed; Muhammad Enamul Hoque Chowdhury (Cogn. Comput., 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)

Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. - Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md. Ali; Tariq O. Abbas; Tanvir Alam; Mohamed Arselene Ayari; Zaid Bin Mahbub; Rumana Habib; Tawsifur Rahman; Anas M. Tahir; Ahmad Ashrif A. Bakar; et al. (Sensors, 2022)

A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images. - Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md. Ali; Serkan Kiranyaz; Tawsifur Rahman; Moajjem Hossain Chowdhury; Mohamed Arselene Ayari; Rashad Alfkey; Ahmad Ashrif A. Bakar; Rayaz A. Malik; Anwarul Hasan (Sensors, 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)

Blind ECG Restoration by Operational Cycle-GANs. - Serkan Kiranyaz; Ozer Can Devecioglu; Turker Ince; Junaid Malik; Muhammad Enamul Hoque Chowdhury; Tahir Hamid; Rashid Mazhar; Amith Khandakar; Anas Tahir; Tawsifur Rahman; Moncef Gabbouj (IEEE Trans. Biomed. Eng., 2022)

EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication. - Nabil Ibtehaz; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Serkan Kiranyaz; M. Sohel Rahman; Anas Tahir; Yazan Qiblawey; Tawsifur Rahman (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study. - Tawsifur Rahman; Mahmoud Khatib A. A. Al-Ruweidi; Md. Shaheenur Islam Sumon; Reema Youssef Kamal; Muhammad E. H. Chowdhury; Huseyin Cagatay Yalcin (IEEE Access, 2023)

NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals. - Sakib Mahmud; Nabil Ibtehaz; Amith Khandakar; M. Sohel Rahman; Antonio JR. Gonzales; Tawsifur Rahman; Md. Shafayet Hossain; Md Sakib Abrar Hossain; Md. Ahasan Atick Faisal; Farhan Fuad Abir; Farayi Musharavati; Muhammad Enamul Hoque Chowdhury (Biomed. Signal Process. Control., 2023)

BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. - Tawsifur Rahman; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Zaid Bin Mahbub; Md Sakib Abrar Hossain; Abraham Alhatou; Eynas Abdalla; Sreekumar Muthiyal; Khandaker Farzana Islam; Saad Bin Abul Kashem; Muhammad Salman Khan 001; Susu M. Zughaier; et al. (Neural Comput. Appl., 2023)

Addressing cognitive bias in medical language models. - Samuel Schmidgall; Carl Harris; Ime Essien; Daniel Olshvang; Tawsifur Rahman; Ji Woong Kim; Rojin Ziaei; Jason Eshraghian; Peter Abadir; Rama Chellappa (CoRR, 2024)

Evaluation and mitigation of cognitive biases in medical language models. - Samuel Schmidgall; Carl Harris; Ime Essien; Daniel Olshvang; Tawsifur Rahman; Ji Woong Kim; Rojin Ziaei; Jason Eshraghian; Peter Abadir; Rama Chellappa (npj Digit. Medicine, 2024)

TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images. - Tawsifur Rahman; Amith Khandakar; Ashiqur Rahman; Susu M. Zughaier; Muna Al Maslamani; Moajjem Hossain Chowdhury; Anas M. Tahir; Md Sakib Abrar Hossain; Muhammad E. H. Chowdhury (Cogn. Comput., 2024)

An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning. - Muhammad E. H. Chowdhury; Tawsifur Rahman; Amith Khandakar; Somaya Al-Madeed; Susu M. Zughaier; Suhail A. R. Doi; Hanadi Hassen; Mohammad Tariqul Islam 001 (Cogn. Comput., 2024)

CEMIL: Contextual Attention Based Efficient Weakly Supervised Approach for Histopathology Image Classification. - Tawsifur Rahman; Alexander S. Baras; Rama Chellappa (WACV, 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)