Sidratul Montaha

15 papers Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis.
J. Heal. Informatics Res.
Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Israt Jahan Payel, Asif Karim, Inam Ullah Khan, Sidratul Montaha, Md. Zahid Hasan, Mirjam Jonkman, Sami Azam
2025 — conf
Balanced-Boundary IoU: A holistic algorithm towards improving segmentation evaluation metric.
Canadian AI
Sidratul Montaha, Rashik Rahman, Nathan Weiss
2025 J jnl
Federated Pseudo-Labeling: A Data-Centric, Privacy-Preserving Framework for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Sidratul Montaha, Rashik Rahman, Tapotosh Ghosh, Farnaz Sheikhi, Farhad Maleki
2024 J jnl
An Automated Decision Support System to Analyze Malignancy Patterns of Breast Masses Employing Medically Relevant Features of Ultrasound Images.
J. Imaging Inform. Medicine
Sami Azam, Sidratul Montaha, Mohaimenul Azam Khan Raiaan, A. K. M. Rakibul Haque Rafid, Saddam Hossain Mukta, Mirjam Jonkman
2024 J jnl
Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection.
Multim. Tools Appl.
Nur Mohammad Fahad, Sami Azam, Sidratul Montaha, Md. Saddam Hossain Mukta
2024 J jnl
Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images.
IEEE Access
Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam
2024 J jnl
Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention Network.
J. Imaging Inform. Medicine
Sadia Sultana Chowa, Sami Azam, Sidratul Montaha, Md. Rahad Islam Bhuiyan, Mirjam Jonkman
2024 J jnl
SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time.
Neural Comput. Appl.
Abdullah Al Mahmud, Sami Azam, Inam Ullah Khan, Sidratul Montaha, Asif Karim, Aminul Haque, Md. Zahid Hasan, Mark Brady, Ritu Biswas, Mirjam Jonkman
2023 J jnl
Brain Tumor Segmentation from 3D MRI Scans Using U-Net.
SN Comput. Sci.
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim
2023 J jnl
Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning.
IEEE Access
Md. Shakhaout Hossain, Sami Azam, Asif Karim, Sidratul Montaha, Ryana Quadir, Friso De Boer, Md. Altaf-Ul-Amin
2023 J jnl
MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data.
IEEE Access
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
2023 J jnl
Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach.
Intell. Syst. Appl.
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
2023 J jnl
Using feature maps to unpack the CNN 'Black box' theory with two medical datasets of different modality.
Intell. Syst. Appl.
Sami Azam, Sidratul Montaha, Kayes Uddin Fahim, A. K. M. Rakibul Haque Rafid, Md. Saddam Hossain Mukta, Mirjam Jonkman
2022 J jnl
An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification.
Intell. Syst. Appl.
Inam Ullah Khan, Sami Azam, Sidratul Montaha, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Mirjam Jonkman
2022 J jnl
TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study.
IEEE Access
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim, Ashraful Islam