Virtual Reality Module Depicting Catheter-Associated Urinary Tract Infection as Educational Tool to Reduce Antibiotic Resistant Hospital-Acquired Bacterial Infections. - Yosra Magdi Mekki; Mohamed Magdi Mekki; Mohamed Ali Hammami; Susu M. Zughaier (ICIoT, 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)

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)

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)

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)

PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data. - Farhan Fuad Abir; Khalid Alyafei; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Rashid Ahmed 002; Muhammad Maqsud Hossain; Sakib Mahmud; Ashiqur Rahman; Tareq O. Abbas; Susu M. Zughaier; Khalid Kamal Naji (Comput. Biol. Medicine, 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-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound. - Kanchon Kanti Podder; Muhammad Enamul Hoque Chowdhury; Sumaya Almaadeed; Naima Nasrin Nisha; Sakib Mahmud; Fatema Hamadelneil; Taif Almkhlef; Hind Aljofairi; Adam Mushtak; Amith Khandakar; Susu M. Zughaier (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)

RamanNet: a generalized neural network architecture for Raman spectrum analysis. - Nabil Ibtehaz; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Serkan Kiranyaz; M. Sohel Rahman; Susu M. Zughaier (Neural Comput. Appl., 2023)

Phonocardiogram Classification Based on 1D CNN with Pitch-Shifting and Signal Uniformity Techniques. - Zafar Ahmad; Muhammad Salman Khan 001; Muhammad E. H. Chowdhury; Susu M. Zughaier; Wanis Hamad Ibrahim (EUSIPCO, 2024)

Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis. - Najmath Ottakath; Younes Akbari; Sumaya Ali S. A. Al-Máadeed; Ahmed Bouridane; Susu M. Zughaier; Muhammad E. H. Chowdhury (Biomed. Signal Process. Control., 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)

MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss. - Najmath Ottakath; Younes Akbari; Somaya Al-Máadeed; Muhammad E. H. Chowdhury; Susu M. Zughaier; Ahmed Bouridane; Kishor Kumar Sadasivuni (Biomed. Signal Process. Control., 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)

Digital twins for the era of personalized surgery. - Yosra Magdi Mekki; Gijs Luijten; Elisabet Hagert; Sirajeddin Belkhair; Chris Varghese; Junaid Qadir 001; Barry Solaiman; Muhammad Bilal 005; Jaghtar Dhanda; Jan Egger; Jun Deng; Vikas Khanduja; et al. (npj Digit. Medicine, 2025)