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Journal Article

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2023
  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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,

  7. 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

  8. 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.

  9. 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,

  10. 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

  11. 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).

  12. 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

  13. 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.

  14. 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.

  15. 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

  16. 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,