| Medical image segmentation with 3D convolutional neural networks: A survey S Niyas, SJ Pawan, MA Kumar, J Rajan Neurocomputing 493, 397-413, 2022 | 111 | 2022 |
| Multi-res-attention UNet: a CNN model for the segmentation of focal cortical dysplasia lesions from magnetic resonance images E Thomas, SJ Pawan, S Kumar, A Horo, S Niyas, S Vinayagamani, ... IEEE journal of biomedical and health informatics 25 (5), 1724-1734, 2020 | 73 | 2020 |
| Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network KMB Dev, SJ Pawan, S Niyas, S Vinayagamani, C Kesavadas, J Rajan Biomedical Signal Processing and Control 52, 218-225, 2019 | 51 | 2019 |
| Capsule networks for image classification: A review SJ Pawan, J Rajan Neurocomputing 509, 102-120, 2022 | 42 | 2022 |
| Capsule Network–based architectures for the segmentation of sub-retinal serous fluid in optical coherence tomography images of central serous chorioretinopathy SJ Pawan, R Sankar, A Jain, M Jain, DV Darshan, BN Anoop, AR Kothari, ... Medical & Biological Engineering & Computing 59 (6), 1245-1259, 2021 | 14 | 2021 |
| A dual-stage semi-supervised pre-training approach for medical image segmentation RC Aralikatti, SJ Pawan, J Rajan IEEE Transactions on Artificial Intelligence 5 (2), 556-565, 2023 | 13 | 2023 |
| A lightweight convolutional neural network model for tuberculosis bacilli detection from microscopic sputum smear images RO Panicker, SJ Pawan, J Rajan, MK Sabu Machine learning for healthcare applications, 343-351, 2021 | 8 | 2021 |
| Semi-supervised structure attentive temporal mixup coherence for medical image segmentation SJ Pawan, G Jeevan, J Rajan Biocybernetics and Biomedical Engineering 42 (4), 1149-1161, 2022 | 3 | 2022 |
| Mobilecaps: a lightweight model for screening and severity analysis of covid-19 chest x-ray images SJ Pawan, R Sankar, AM Prabhudev, PA Mahesh, K Prakashini, SK Das, ... arXiv preprint arXiv:2108.08775, 2021 | 3 | 2021 |
| Artificial intelligence and radiomics applied to prostate cancer bone metastasis imaging: A review SJ Pawan, J Rich, J Le, E Yi, T Triche, A Goldkorn, V Duddalwar iRADIOLOGY 2 (6), 527-538, 2024 | 1 | 2024 |
| WideCaps: a wide attention-based capsule network for image classification SJ Pawan, R Sharma, H Reddy, M Vani, J Rajan Machine Vision and Applications 34 (4), 52, 2023 | 1 | 2023 |
| Cross Task Temporal Consistency for Semi-supervised Medical Image Segmentation G Jeevan, SJ Pawan, J Rajan International Workshop on Machine Learning in Medical Imaging, 140-150, 2022 | 1 | 2022 |
| Deep learning-based detection and segmentation of osseous metastatic prostate cancer lesions on computed tomography SJ Pawan, JM Rich, S Malewar, D Patel, M Muellner, D Hwang, X Lei, ... European Journal of Radiology Artificial Intelligence, 100005, 2025 | | 2025 |
| Machine Learning Based Classification of Aggressive and Malignant Renal Tumors from Multimodal Data M Aminy, T Gala, A Dasgupta, SY Cen, PS Jogi, I Gill, V Duddalwar, ... medRxiv, 2025.02. 04.25321687, 2025 | | 2025 |
| 130 Radiomic correlation for CD8+ T cells in clear cell renal cell carcinoma A Setayesh, E Yi, A Shieh, S Pawan, Y Wu, A Bandara, W Wallace, ... Journal for ImmunoTherapy of Cancer 12 (Suppl 2), 2024 | | 2024 |
| MP30-14 ENHANCED CT RADIOMICS PREDICTION OF CLEAR CELL RENAL CELL CARCINOMA PD-L1 EXPRESSION WITH ADAPTIVE FEATURE ENGINEERING STRATEGIES Y Wu, A Shieh, SJ Pawan, S Cen, WD Wallace, J Kuo, V Duddalwar The Journal of Urology 211 (5S), e498, 2024 | | 2024 |
| An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural Network DK Srivastava, SJ Pawan, J Rajan MICCAI Workshop on Medical Image Assisted Blomarkers' Discovery, 83-91, 2022 | | 2022 |
Jeny RajanNational Institute of Technology Karnataka, IndiaOverená e-mailová adresa na: nitk.ac.in