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Journal Article

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2023
  1. Montaha S, Azam S, Rafid AKMRH, Hasan MZ, Karim A, Hasib KM, Patel SK, Jonkman M and Mannan ZI (2022) MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique. Front. Med. 9:924979. doi: 10.3389/fmed.2022.924979

  2. 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

  3. Sidratul Montaha1 , *Sami Azam2 , A.K.M. Rakibul Haque Rafid3 , Md. Zahid Hasan4 , Asif Karim5 , Ashraful Islam6 "TD-CNN-LSTM: A Hybrid approach combining CNN and LSTM to classify brain tumor on 3D MRI scans performing ablation study"IEEE Access

  4. Sadia Islam Tonni, Md Alif Sheakh, Mst Sazia Tahosin, Md Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md Tanvir Rahman, Risala Tasin Khan, M Shamim Kaiser, Mohammad Ali Moni, A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis, Advanced Intelligent Systems, Wiley, 2025

  5. Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Israt Jahan Payel, Asif Karim, Inam Ullah Khan, Sidratul Montaha, Md Zahid Hasan, Mirjam Jonkman, Sami Azam, A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis, Journal of Healthcare Informatics Research, 2025

  6. Md Fahim Sultan, Md Shazzad Hossain Shaon, Tasmin Karim, Md Mamun Ali, Md Zahid Hasan, Kawsar Ahmed, Francis M Bui, Li Chen, Vigneswaran Dhasarathan, Mohammad Ali Moni, Leveraging neural network model for development of antifungal peptide identification tool, Heliyon Journal, 2024

  7. Tasnim Jahan Tonni, Shakil Rana, Kaniz Fatema, Asif Karim, Md Awlad Hossen Rony, Md Zahid Hasan, Md Saddam Hossain Mukta, Sami Azam, An Automated Histopathological Colorectal Cancer Multi‐Class Classification System Based on Optimal Image Processing and Prominent Features, Computational Intelligence, 2024

  8. Md Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md Mehedi Hassan, Abdullah Al Mahmud, AKM Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam, “Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images”, Page(s): 31117 - 31135, IEEE Access, 26 February 2024, DOI: 10.1109/ACCESS.2024.3369900

  9. Tasmin Karim, Md Shazzad Hossain Shaon, Md Fahim Sultan, Md Zahid Hasan, Abdulla-Al Kafy, ANNprob-ACPs: A novel anticancer peptide identifier based on probabilistic feature fusion approach, Computers in Biology and Medicine, https://doi.org/10.1016/j.compbiomed.2023.107915.

  10. Showmick Guha Paul, Arpa Saha, Md Zahid Hasan, Sheak Rashed Haider Noori, Ahmed Moustafa, A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions, Page(s): 15145 - 15170, IEEE access, January 2024, DOI: 10.1109/ACCESS.2024.3354809

  11. Mariam Akter, Nishat Sultana, Sheak Rashed Haider Noori, Md Zahid Hasan, “Bangla song genre recognition using artificial neural network”, IAES International Journal of Artificial Intelligence (IJ-AI) Vol. 13, No. 2, June 2023, pp. 2413∼2422 ISSN: 2252-8938, DOI: 10.11591/ijai.v13.i2.pp2413-2422

  12. Chowa, S.S., Azam, S., Montaha, S. et al. Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features. J Cancer Res Clin Oncol 149, 18039–18064 (2023). https://doi.org/10.1007/s00432-023-05464-w

  13. Shahed Hossain, Sami Azam, Sidratul Montaha, Asif Karim, Sadia Sultana Chowa, Chaity Mondol, Md Zahid Hasan, Mirjam Jonkman, Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model, Heliyon, Volume 9, Issue 11, 2023, e21369, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2023.e21369

  14. Kaniz Fatema, Md Awlad Hossen Rony, Sami Azam, Md Saddam Hossain Mukta, Asif Karim, Md Zahid Hasan, Mirjam Jonkman. Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images. Heliyon, Volume 9, Issue 11, November 2023, e21703. https://doi.org/10.1016/j.heliyon.2023.e21703

  15. M. Assaduzzaman, A. A. Mamun and M. Z. Hasan, "Early Prediction of Maternal Health Risk Factors Using Machine Learning Techniques," 2023 International Conference for Advancement in Technology (ICONAT), Goa, India, 2023, pp. 1-6, doi: 10.1109/ICONAT57137.2023.10080700

  16. Tahhan, S.R., Mastin, A., Yakasai, I.K., Atieh, A., Ahmed, K., Bui, F.M. and Al-Zahrani, F.A., 2023. Highly nonlinear tellurite photonic crystal fiber for supercontinuum generation: Design and quantitative performance analysis. Alexandria Engineering Journal,

  17. Rahman, M.A., Abdulrazak, L.F., Ali, M.M., Mahmud, I., Ahmed, K. and Bui, F.M., 2023. Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics. Algorithms

  18. Sutradhar, A., Al Rafi, M., Shamrat, F.J.M., Ghosh, P., Das, S., Islam, M.A., Ahmed, K., Zhou, X., Azad, A.K.M., Alyami, S.A. and Moni, M.A., 2023. BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients.

  19. Hossain, M.I., Jahan, S., Al Asif, M.R., Samsuddoha, M. and Ahmed, K., 2023. Detecting tomato leaf diseases by image processing through deep convolutional neural networks. Smart Agricultural Technology,

  20. Tuaimah, A.M., Tahhan, S.R., Taher, H.J., Ahmed, K. and Al-Zahrani, F.A., 2024. Multi analyte detection based on D-shaped PCF sensor for glucose concentrations sensing. Optical and Quantum Electronics

  21. Hossain, A., Ahsan, A., Hasan, I., Sohel, Khan, A., Somadder, P.D., Monjur, S., Miah, S., Kibria, K.K., Ahmed, K. and Rahman, H., 2024. Screening out molecular pathways and prognostic biomarkers of ultraviolet-mediated melanoma through computational techniques. The International Journal of Biological Markers

  22. Shamrat, F.J.M., Shakil, R., Akter, B., Ahmed, M.Z., Ahmed, K., Bui, F.M. and Moni, M.A., 2024. An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection. Healthcare Analytics, 5, p.100303

  23. Khan, Inam Ullah, Mohaimenul Azam Khan Raiaan, Kaniz Fatema, Sami Azam, Rafi ur Rashid, Saddam Hossain Mukta, Mirjam Jonkman, and Friso De Boer. 2023. "A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time" Biomedicines

  24. Montaha, S., Azam, S., Rakibul Haque Rafid, A.K.M. et al. Brain Tumor Segmentation from 3D MRI Scans Using U-Net. SN COMPUT. SCI. 4, 386 (2023).

  25. Sami Azam, Sidratul Montaha, Kayes Uddin Fahim, A.K.M. Rakibul Haque Rafid, Md. Saddam Hossain Mukta, Mirjam Jonkman. Using feature maps to unpack the CNN ‘Black box’ theory with two medical datasets of different modality, Intelligent Systems with Applications, Volume 18, 2023, 200233, ISSN 2667-3053

  26. Azam, S.; Rafid, A.K.M.R.H.; Montaha, S.; Karim, A.; Jonkman, M.; De Boer, F. Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung Diseases. Biomedicines 2023, 11, 133.

  27. Khan, I.U.; Raiaan, M.A.K.; Fatema, K.; Azam, S.; Rashid, R.u.; Mukta, S.H.; Jonkman, M.; De Boer, F. A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy. Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time. Biomedicines 2023, 11, 1566.

  28. Islam Bhuiyan MdR, Azam S, Montaha S, et al. Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation. DIGITAL HEALTH. 2023;9

  29. M. A. K. Raiaan et al., "A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images," in IEEE Access, vol. 11, pp. 42361-42388, 2023,

  30. 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

  31. 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

  32. 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

  33. 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,

  34. 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

  35. 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

  36. Montaha, Sidratul, Sami Azam, Abul Kalam Muhammad Rakibul Haque Rafid, Pronab Ghosh, Md. Zahid Hasan, Mirjam Jonkman, and Friso De Boer. 2021. "BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images" Biology 10, no. 12: 1347.

  37. 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

  38. P. Ghosh et al., "Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques," in IEEE Access, vol. 9, pp. 19304-19326, 2021

  39. 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

  40. 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.

  41. Akter, Shamima, F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Asif Karim, and Sami Azam. 2021. "COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images" Biology 10, no. 11: 1174

  42. Shakil Rana, Md Jabed Hosen, Tasnim Jahan Tonni, Md Awlad Hossen Rony, Kaniz Fatema, Md Zahid Hasan, Md Tanvir Rahman, Risala Tasin Khan, Tony Jan, Md Whaiduzzaman, “DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features”, Sensors 2024, 24(9), 2830

  43. S. Montaha, S. Azam, Chowa, S.S., Islam Bhuiyan MdR, Mirjam Jonkman. Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network. Digital Health, 2024

  44. Sadia Sultana Chowa, Sami Azam, Israt Jahan Payel, Inam Ullah Khan, Sidratul Montaha, Md. Zahid Hasan, Mirjam Jonkman, A Low Complexity Efficient Deep Learning Model: An Automated Approach to Retinal Disease Diagnosis, Applied Intelligence, 2024,