TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study. - Sidratul Montaha; Sami Azam; A. K. M. Rakibul Haque Rafid; Md. Zahid Hasan; Asif Karim; Ashraful Islam (IEEE Access, 2022)

An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification. - Inam Ullah Khan; Sami Azam; Sidratul Montaha; Abdullah Al Mahmud 002; A. K. M. Rakibul Haque Rafid; Md. Zahid Hasan; Mirjam Jonkman (Intell. Syst. Appl., 2022)

Using feature maps to unpack the CNN 'Black box' theory with two medical datasets of different modality. - Sami Azam; Sidratul Montaha; Kayes Uddin Fahim; A. K. M. Rakibul Haque Rafid; Md. Saddam Hossain Mukta; Mirjam Jonkman (Intell. Syst. Appl., 2023)

Brain Tumor Segmentation from 3D MRI Scans Using U-Net. - Sidratul Montaha; Sami Azam; A. K. M. Rakibul Haque Rafid; Md. Zahid Hasan; Asif Karim (SN Comput. Sci., 2023)

Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach. - Sami Azam; Sidratul Montaha; A. K. M. Rakibul Haque Rafid; Asif Karim; Mirjam Jonkman; Friso De Boer; Gabrielle McCallum; Ian Brent Masters; Anne B. Chang (Intell. Syst. Appl., 2023)

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images. - Md. Zahid Hasan; Sidratul Montaha; Inam Ullah Khan; Md. Mehedi Hassan; Abdullah Al Mahmud 002; A. K. M. Rakibul Haque Rafid; Sami Azam; Asif Karim; Spyridon Prountzos; Efthymia Alexopoulou; Umama Binta Ashraf; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)