Muhammad Maqsud Hossain

According to our database, Muhammad Maqsud Hossain authored at least 4 papers between 2022 and 2023.

Collaborative distances:

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

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, Md. Shaheenur Islam Sumon, Enamul Haque Bhuiyan, Amith Khandakar, Muhammad Maqsud Hossain, Abdus Sadique, Israa Al-Hashimi, Mohamed Arselene Ayari, Sakib Mahmud, Abdulrahman Alqahtani

Sensors, November, 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, Susu M. Zughaier, Muhammad Maqsud Hossain

Neural Comput. Appl., August, 2023

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

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, Muhammad Maqsud Hossain, Sakib Mahmud, Ashiqur Rahman, Tareq O. Abbas, Susu M. Zughaier, Khalid Kamal Naji

Comput. Biol. Medicine, 2022