| Timedistributed-cnn-lstm: A hybrid approach combining cnn and lstm to classify brain tumor on 3d mri scans performing ablation study S Montaha, S Azam, AKMRH Rafid, MZ Hasan, A Karim, A Islam IEEE Access 10, 60039-60059, 2022 | 63 | 2022 |
| BreastNet18: a high accuracy fine-tuned VGG16 model evaluated using ablation study for diagnosing breast cancer from enhanced mammography images S Montaha, S Azam, AKMRH Rafid, P Ghosh, MZ Hasan, M Jonkman, ... Biology 10 (12), 1347, 2021 | 59 | 2021 |
| A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity S Montaha, S Azam, AKMRH Rafid, S Islam, P Ghosh, M Jonkman PloS one 17 (8), e0269826, 2022 | 19 | 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 S Montaha, S Azam, AKMRH Rafid, MZ Hasan, A Karim, KM Hasib, ... Frontiers in Medicine 9, 924979, 2022 | 16 | 2022 |
| Mcnn-lstm: Combining cnn and lstm to classify multi-class text in imbalanced news data KM Hasib, S Azam, A Karim, A Al Marouf, FMJM Shamrat, S Montaha, ... IEEE Access, 2023 | 15 | 2023 |
| An effective ensemble machine learning approach to classify breast cancer based on feature selection and lesion segmentation using preprocessed mammograms AKMRH Rafid, S Azam, S Montaha, A Karim, KU Fahim, MZ Hasan Biology 11 (11), 1654, 2022 | 15 | 2022 |
| 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 K Fatema, S Montaha, MAH Rony, S Azam, MZ Hasan, M Jonkman Biomedicines 10 (11), 2835, 2022 | 14 | 2022 |
| Brain tumor segmentation from 3D MRI scans using U-net S Montaha, S Azam, AKM Rakibul Haque Rafid, MZ Hasan, A Karim SN Computer Science 4 (4), 386, 2023 | 12 | 2023 |
| Automated detection of broncho-arterial pairs using CT scans employing different approaches to classify lung diseases S Azam, AKMRH Rafid, S Montaha, A Karim, M Jonkman, F De Boer Biomedicines 11 (1), 133, 2023 | 8 | 2023 |
| An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification IU Khan, S Azam, S Montaha, A Al Mahmud, AKMRH Rafid, MZ Hasan, ... Intelligent Systems with Applications 16, 200147, 2022 | 7 | 2022 |
| Using feature maps to unpack the CNN ‘Black box’theory with two medical datasets of different modality S Azam, S Montaha, KU Fahim, AKMRH Rafid, MSH Mukta, M Jonkman Intelligent Systems with Applications 18, 200233, 2023 | 5 | 2023 |
| Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model S Hossain, S Azam, S Montaha, A Karim, SS Chowa, C Mondol, ... Heliyon 9 (11), 2023 | 4 | 2023 |
| A novel data and model centric artificial intelligence based approach in developing high-performance named entity recognition for bengali language KA Lima, K Md Hasib, S Azam, A Karim, S Montaha, SRH Noori, ... Plos one 18 (9), e0287818, 2023 | 4 | 2023 |
| An automated decision support system to analyze malignancy patterns of breast masses employing medically relevant features of ultrasound images S Azam, S Montaha, MAK Raiaan, AKM Rafid, SH Mukta, M Jonkman Journal of Imaging Informatics in Medicine, 1-15, 2024 | 2 | 2024 |
| Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images MZ Hasan, S Montaha, IU Khan, MM Hassan, A Al Mahmud, ... IEEE Access 12, 31117-31135, 2024 | 1 | 2024 |
| An automated broncho-arterial (ba) pair segmentation process and assessment of ba ratios in children with bronchiectasis using lung hrct scans: A pilot study S Azam, S Montaha, AKMRH Rafid, A Karim, M Jonkman, F De Boer, ... Biomedicines 11 (7), 1874, 2023 | 1 | 2023 |
| Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung Diseases. Biomedicines 2023, 11, 133 S Azam, ARH Rafid, S Montaha, A Karim, M Jonkman, F De Boer | 1 | 2023 |
| Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection NM Fahad, S Azam, S Montaha, MSH Mukta Multimedia Tools and Applications, 1-25, 2024 | | 2024 |
| Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention Network SS Chowa, S Azam, S Montaha, MRI Bhuiyan, M Jonkman Journal of Imaging Informatics in Medicine, 1-19, 2024 | | 2024 |
| Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features SS Chowa, S Azam, S Montaha, IJ Payel, MRI Bhuiyan, MZ Hasan, ... Journal of Cancer Research and Clinical Oncology 149 (20), 18039-18064, 2023 | | 2023 |
