Muhammad Salman Khan

Deep learning techniques for liver and liver tumor segmentation: A review

M. Ayari, A. Khandakar, Asima Bibi, 2022, Comput. Biol. Medicine.

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

Khandaker F. Islam, Z. Mahbub, A. Khandakar, 2022, Neural Computing and Applications.

Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response

Haifang Li, T. Duong, Lal Hussain, 2021, BioMedical Engineering OnLine.

Automatic Classification of Lung Sounds Using Machine Learning Algorithms

Muhammad Salman Khan, Misha Urooj Khan, Ahmad Ullah, 2021, 2021 International Conference on Frontiers of Information Technology (FIT).

Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net

Shahab U. Ansari, Muhammad Enamul Hoque Chowdhury, Muhammad Hanif, 2021, Sensors.

Automatic Detection of Paediatric Congenital Heart Diseases from Phonocardiogram Signals

Sayed Shahid Hussain, Muhammad Salman Khan, Misha Urooj Khan, 2023, 2023 3rd International Conference on Artificial Intelligence (ICAI).

Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning Model

Mosabber Uddin Ahmed, J. Kumar, M. Murugappan, 2023, Diagnostics.

Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images

M. Ayari, A. Sadique, A. Khandakar, 2023, Italian National Conference on Sensors.

Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect

A. Khandakar, Anwarul Hasan, Muhammad Salman Khan, 2023, Bioengineering.