Journal

Oahidul Islam, Md Assaduzzaman, Md Zahid Hasan,An explainable AI-based blood cell classification using optimized convolutional neural network,Journal of Pathology Informatics,Volume 15,2024,ISSN 2153-3539, https://doi.org/10.1016/j.jpi.2024.100389.

Md. Shazzad Hossain Shaon, Tasmin Karim, Md. Shahriar Shakil, Md. Zahid Hasan,A comparative study of machine learning models with LASSO and SHAP feature selection for breast cancer prediction, Healthcare Analytics, Volume 6,2024, https://doi.org/10.1016/j.health.2024.100353.

Sultan, M. F., Shaon, M. S. H., Karim, T., Ali, M. M., Hasan, M. Z., Ahmed, K., Bui, F. M., Chen, L., Dhasarathan, V., & Moni, M. A. (2024). MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification tool. Heliyon, 10(18), e37820. https://doi.org/10.1016/j.heliyon.2024.e37820

Al Mahmud, A., Azam, S., Khan, I.U. et al. SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time. Neural Comput & Applic (2024). https://doi.org/10.1007/s00521-024-10225-y

Jahan, M., Hasan, M. Z., Jahan Samia, I., Fatema, K., Rony, M. A. H., Shamsul Arefin, M., & Moustafa, A. (2024). KOA-CCTNet: An enhanced knee osteoarthritis grade assessment framework using modified compact convolutional transformer model. IEEE Access: Practical Innovations, Open Solutions, 12, 107719–107741. https://doi.org/10.1109/access.2024.3435572 

Shaon, M. S. H., Karim, T., Sultan, M. F., Ali, M. M., Ahmed, K., Hasan, M. Z., Moustafa, A., Bui, F. M., & Al-Zahrani, F. A. (2024). AMP-RNNpro: a two-stage approach for identification of antimicrobials using probabilistic features. Scientific Reports, 14(1), 12892. https://doi.org/10.1038/s41598-024-63461-6.

M. Z. Hasan et al., "Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images," in IEEE Access, vol. 12, pp. 31117-31135, 2024, doi: https://10.1109/ACCESS.2024.3369900.

Rana, S.; Hosen, M.J.; Tonni, T.J.; Rony, M.A.H.; Fatema, K.; Hasan, M.Z.; Rahman, M.T.; Khan, R.T.; Jan, T.; Whaiduzzaman, M. DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features. Sensors 2024, 24, 2830. https://doi.org/10.3390/s24092830 

Fahad, N.M., Azam, S., Montaha, S. et al. Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18608-y 

Azam, S., Montaha, S., Raiaan, M.A.K. et al. An Automated Decision Support System to Analyze Malignancy Patterns of Breast Masses Employing Medically Relevant Features of Ultrasound Images. J Digit Imaging. Inform. med. (2024). https://doi.org/10.1007/s10278-023-00925-7

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, 81, pp.626-635.

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, 16(11), p.503.

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. Scientific Reports, 13(1), p.22874.

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, 5, p.100301.

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, 56(3), p.319.

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, 39(2), pp.118-129.

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.

Khalaf, M.K., Taher, H.J., Tahhan, S.R., Ahmed, K. and Al-Zahrani, F.A., 2024. Design and Numerical Analysis of Refractive Index-Based Reproductive Hormone Sensor. Plasmonics, pp.1-15.

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, Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach, Intelligent Systems with Applications, Volume 20, 2023, 200279, ISSN 2667-3053, https://doi.org/10.1016/j.iswa.2023.200279 

H. Noor, N. Islam, M. S. Hossain Mukta, N. S. Binti Kamarudin, M. A. Khan Raiaan and S. Azam, "Determining the Optimal Number of GAT and GCN Layers for Node Classification in Graph Neural Networks," 2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS), Penang, Malaysia, 2023, pp. 111-116, doi: https://doi.org/10.1109/ICSECS58457.2023.10256323 

M. S. Hossain et al., "Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning," in IEEE Access, vol. 11, pp. 114497-114508, 2023, doi: https://doi.org/10.1109/ACCESS.2023.3324659 

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

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

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 

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.

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, no. 6: 1566. https://doi.org/10.3390/biomedicines11061566 

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). https://doi.org/10.1007/s42979-023-01854-6 

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, https://doi.org/10.1016/j.iswa.2023.200233 

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. https://doi.org/10.3390/biomedicines11010133 

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. https://doi.org/10.3390/biomedicines11061566

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. doi: https://doi.org/10.1177/20552076231215915 

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, doi: https://doi.org/10.1109/ACCESS.2023.3272228 

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. https://doi.org/10.3390/biology11111654 

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. https://doi.org/10.3390/biomedicines10112835

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, https://doi.org/10.3389/fmed.2022.924979 

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, https://doi.org/10.1016/j.iswa.2022.200147

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, https://doi.org/10.1371/journal.pone.0269826 

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, doi: https://doi.org/10.1109/ACCESS.2022.3179577 

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. https://doi.org/10.3390/biology10121347 

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, doi https://doi.org/10.1145/3556223.3556225 

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, doi: https://doi.org/10.1109/ACCESS.2021.3053759  

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: https://doi.org/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. https://doi.org/10.3390/jpm12050680

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. https://doi.org/10.3390/biology10111174

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, Under review.

Md Rahad Islam Bhuiyan, Sami Azam, Sidratul Montaha,  Sadia Sultana Chowa,  Zahid Hasan, Mirjam Jonkman,  Efthymia Alexopoulou, Spyridon Prountzos, A Novel Automated Approach Incorporating Graphs of Clinically Relevant Features and a Graph Convolutional Network to Classify Lung Diseases Using Chest X-ray Images, Journal of cancer research and clinical oncology, 2023, Under review.

Sadia Sultana Chowa, Sami Azam, Afjal Hossan Sarower, Md Zahid Hasan, Md Rahad Islam Bhuiyan, Zaky Hossain, Mirjam Jonkman, Sidratul Montaha, International Journal of Multimedia Information Retrieval, 2024, Under review.

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, Under review.

Md Rahad Islam Bhuiyan, Sami Azam, Sidratul Montaha, Sadia Sultana Chowa, Efthymia Alexopoulou, Spyridon Prountzos, Mirjam Jonkman, A robust federated learning privacy-preserving framework with FerNet symmetric encryption-decryption to analyze CXR images from a merged Dataset, Ready to submission,2024, Under review.

Mst. Sazia Tahosin, Sami Azam, Md. Alif Sheakh, Afjal Hossan Sarower, Md. Zahid Hassan, Histopathological Image Analysis for Endometrial Cancer Detection Using Optimized Ensemble Approach XCRS13, Array, 2024, Under review.

Md. Alif Sheakh; Sami Azam; Mst. Sazia Tahosin; Md. Mehedi Hassan; Asif Karim; Sidratul Montaha; Kayes Uddin Fahim; Niusha Shafiabady; Md. Zahid Hasan; Sheikh Mohammed Shariful Islam, ECgMLP: An optimized gated multi-layer perceptron model for diagnosing endometrial cancer from histopathological images, Journal of Healthcare Informatics Research, 2024, Under review.

Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Sidratul Montaha, Md. Zahid Hasan, Touhid Bhuiyan, Optimized Hybrid Transfer Learning Model for Brain Tumor Classification from MRI Images, MDPI, 2024, Under review.

Md. Abdulla-Hil-Kafi, Sami Azam, Tasnim Bill Zannah, Asif Karim, Md. Alif Sheakh, Niusha Shafi Abady, Md. Zahid Hasan and Sidratul Montaha, AlziNet: Harnessing Explainable Deep Learning for Alzheimer's Disease Staging through MRI Imaging, SN Computer Science, 2024, Under Review.

Tasnim Bill Zannah, Md. Abdulla-Hil Kafi, Md. Alif Sheakh, Md. Zahid Hasan, Touhid Bhuiyan, BayeSVM500: Bayesian Optimized Support Vector Machine for Automated Classification of Eye Diseases, MDPI, 2024, Under Review.