| 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 | 107 | 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 | 85 | 2021 |
| 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 | 44 | 2023 |
| 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 | 30 | 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 | 29 | 2023 |
| 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 | 29 | 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 | 26 | 2022 |
| 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 | 19 | 2022 |
| 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 | 18 | 2023 |
| 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 | 13 | 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 | 12 | 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 | 12 | 2022 |
| 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 | 9 | 2024 |
| Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation MR Islam Bhuiyan, S Azam, S Montaha, RI Jim, A Karim, IU Khan, ... Digital Health 9, 20552076231215915, 2023 | 9 | 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, AKMRH Rafid, SH Mukta, M Jonkman Journal of Imaging Informatics in Medicine 37 (1), 45-59, 2024 | 8 | 2024 |
| 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 | 8 | 2023 |
| SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time A Al Mahmud, S Azam, IU Khan, S Montaha, A Karim, A Haque, ... Neural Computing and Applications 36 (30), 18935-18959, 2024 | 4 | 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 | 4 | 2023 |
| Ergonomic Risk Prediction for Awkward Postures from 3D Keypoints Using Deep Learning MS Hossain, S Azam, A Karim, S Montaha, R Quadir, F De Boer, ... IEEE Access, 2023 | 3 | 2023 |
| Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset S Gupta, MRI Bhuiyan, SS Chowa, S Montaha, R Rahman, ST Mehedi, ... Mathematics 12 (18), 2886, 2024 | 2 | 2024 |
Sami AzamProfessor, Charles Darwin Universitycdu.edu.au의 이메일 확인됨