Md Sakib Abrar Hossain

According to our database, Md Sakib Abrar Hossain authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• 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

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

2022

Deep Learning based Automatic Quantification of Urethral Plate Quality using the Plate Objective Scoring Tool (POST).

Tariq O. Abbas, Mohamed Abdelmoniem, Ibrahim Khalil, Md Sakib Abrar Hossain, Muhammad Enamul Hoque Chowdhury

CoRR, 2022