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)

MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data. - Khan Md. Hasib; Sami Azam; Asif Karim; Ahmed Al Marouf; F. M. Javed Mehedi Shamrat; Sidratul Montaha; Kheng Cher Yeo; Mirjam Jonkman; Reda Alhajj; Jon G. Rokne (IEEE Access, 2023)

Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning. - Md. Shakhaout Hossain; Sami Azam; Asif Karim; Sidratul Montaha; Ryana Quadir; Friso De Boer; Md. Altaf-Ul-Amin (IEEE Access, 2023)

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)

Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection. - Nur Mohammad Fahad; Sami Azam; Sidratul Montaha; Md. Saddam Hossain Mukta (Multim. Tools Appl., 2024)

SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time. - Abdullah Al Mahmud 002; Sami Azam; Inam Ullah Khan; Sidratul Montaha; Asif Karim; Aminul Haque; Md. Zahid Hasan; Mark Brady; Ritu Biswas; Mirjam Jonkman (Neural Comput. Appl., 2024)

Balanced-Boundary IoU: A holistic algorithm towards improving segmentation evaluation metric. - Sidratul Montaha; Rashik Rahman; Nathan Weiss (Canadian AI, 2025)

A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis. - Sadia Sultana Chowa; Md. Rahad Islam Bhuiyan; Israt Jahan Payel; Asif Karim; Inam Ullah Khan; Sidratul Montaha; Md. Zahid Hasan; Mirjam Jonkman; Sami Azam (J. Heal. Informatics Res., 2025)