- Sidratul Montaha ,Sami Azam ,,Abul Kalam Muhammad Rakibul Haque Rafid ,Pronab Ghosh ,Md. Zahid Hasan ,Mirjam Jonkman and Friso De Boer "BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images" in Mdpi Biology
- Rafid, A. K. M. Rakibul Haque, Sami Azam, Sidratul Montaha, Asif Karim, Kayes Uddin Fahim, and Md. Zahid Hasan. 2022. "An Effective Ensemble Machine Learning Approach to Classify Breast Cancer Based on Feature Selection and Lesion Segmentation Using Preprocessed Mammograms" Biology 11, no. 11: 1654
- Fatema, K.; Montaha, S.; Rony, M.A.H.; Azam, S.; Hasan, M.Z.; Jonkman, M. A Robust Framework Combining Image Processing and Deep Learning Hybrid Model to Classify Cardiovascular Diseases Using a Limited Number of Paper-Based Complex ECG Images. Biomedicines 2022, 10, 2835
- Montaha Sidratul, Azam Sami, Rafid A. K. M. Rakibul Haque, Hasan Md. Zahid, Karim Asif, Hasib Khan Md., Patel Shobhit K., Jonkman Mirjam, Mannan Zubaer Ibna. MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique. Frontiers in Medicine, Volume 9, 2022, 2296-858X
- Inam Ullah Khan, Sami Azam, Sidratul Montaha, Abdullah Al Mahmud, A.K.M. Rakibul Haque Rafid, Md. Zahid Hasan, Mirjam Jonkman. An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification, Intelligent Systems with Applications, Volume 16, 2022, 200147, ISSN 2667-3053,
- Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Sayma Islam, Pronab Ghosh, Mirjam Jonkman. A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity. August 4, 2022
- S. Montaha, S. Azam, A. K. M. R. H. Rafid, M. Z. Hasan, A. Karim and A. Islam, "TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study," in IEEE Access, vol. 10, pp. 60039-60059, 2022
- Al Mahmud, Abdullah and Karim, Asif and Ullah Khan, Inam and Ghosh, Pronab and Azam, Sami and Haque, Enamul. A Robust Deep Learning based Framework for High-Precision Detection of Liver Disease. 2022, isbn 9781450396349, Association for Computing Machinery
- Ghosh P, Azam S, Quadir R, Karim A, Shamrat FMJM, Bhowmik SK, Jonkman M, Hasib KM and Ahmed K (2022) SkinNet-16: A deep learning approach to identify benign and malignant skin lesions. Front. Oncol. 12:931141. doi: 10.3389/fonc.2022.931141
- Shamrat, F. M. Javed Mehedi, Sami Azam, Asif Karim, Rakibul Islam, Zarrin Tasnim, Pronab Ghosh, and Friso De Boer. 2022. "LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images" Journal of Personalized Medicine 12, no. 5: 680.
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