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)

Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis. - Md. Shafayet Hossain; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md. Ali; Ahmad Ashrif A. Bakar; Serkan Kiranyaz; Amith Khandakar; Mohammed Alhatou; Rumana Habib; Muhammad Maqsud Hossain (Sensors, 2022)

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)

Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images. - Md Sakib Abrar Hossain; Sidra Gul; Muhammad E. H. Chowdhury; Muhammad Salman Khan 001; Md. Shaheenur Islam Sumon; Enamul Hoque Bhuiyan; Amith Khandakar; Muhammad Maqsud Hossain; Abdus Sadique; Israa Al-Hashimi; Mohamed Arselene Ayari; Sakib Mahmud; et al. (Sensors, 2023)