| An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review S Das, GK Nayak, L Saba, M Kalra, JS Suri, S Saxena Computers in biology and medicine 143, 105273, 2022 | 88 | 2022 |
| Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine S Saxena, B Jena, N Gupta, S Das, D Sarmah, P Bhattacharya, T Nath, ... Cancers 14 (12), 2860, 2022 | 66 | 2022 |
| Brain tumor segmentation and overall survival period prediction in glioblastoma multiforme using radiomic features S Das, S Bose, GK Nayak, SC Satapathy, S Saxena Concurrency and Computation: Practice and Experience, e6501, 2021 | 35 | 2021 |
| Comparison of content based image retrieval systems using wavelet and curvelet transform S Das, S Garg, G Sahoo The International Journal of Multimedia & Its Applications 4 (4), 137, 2012 | 34 | 2012 |
| Effect of learning parameters on the performance of U-Net Model in segmentation of Brain tumor S Das, M Swain, GK Nayak, S Saxena, SC Satpathy Multimedia tools and applications 81 (24), 34717-34735, 2022 | 15 | 2022 |
| Deep learning-based ensemble model for brain tumor segmentation using multi-parametric MR scans S Das, S Bose, GK Nayak, S Saxena Open Computer Science 12 (1), 211-226, 2022 | 15 | 2022 |
| Brain Tumor Segmentation from MRI Images Using Deep Learning Framework S Das Advances in Intelligent Systems and Computing book series (AISC, volume 1119 …, 2020 | 11 | 2020 |
| Brain tumor segmentation from 3D MRI slices using cascading convolutional neural network S Das, MK Swain, GK Nayak, S Saxena International Conference on Emerging Trends and Advances in Electrical …, 2020 | 10 | 2020 |
| Automatic Multi-organ Segmentation on Abdominal CT scans using Deep U-Net Model R Jain, A Sutradhar, AK Dash, S Das 2021 19th OITS International Conference on Information Technology (OCIT), 48-53, 2021 | 5 | 2021 |
| Light-UNet++: A Simplified U-NET++ Architecture for Multimodal Biomedical Image Segmentation S Das, S Bose, R Jain, M Rout 2023 IEEE International Conference on Contemporary Computing and …, 2023 | 1 | 2023 |
| An Extensive Study of SegNet Model in Automatic Brain Tumor Segmentation Using Multi-modal MR Scans S Das, GK Nayak, S Saxena Intelligent Systems: Proceedings of ICMIB 2021, 359-370, 2022 | 1 | 2022 |
| Comparison of Content Based Image Retrieval System Using Wavelet Transform S Das, S Garg, G Sahoo Advances in Computer Science, Engineering & Applications: Proceedings of the …, 2012 | 1 | 2012 |
| WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans S Das, R Dubey, B Jena, LW Tsai, S Saxena Multimedia Tools and Applications, 1-24, 2024 | | 2024 |
| CNN-Based Medical Image Classification Models for the Identification of Pneumonia and Malaria N Behera, S Das, AP Singh, AK Swain, M Rout 2024 International Conference on Advancements in Smart, Secure and …, 2024 | | 2024 |
| Medical image analysis steps: Medical image acquisition to classification (or regression) in neuro-oncology S Das, S Saxena Radiomics and Radiogenomics in Neuro-Oncology, 163-179, 2024 | | 2024 |
| Analysis of Pneumonia detection in X-ray images using different filters based Convolution Neural Networks S Das, S Samanta, M Rout 2023 OITS International Conference on Information Technology (OCIT), 787-792, 2023 | | 2023 |
| Machine Learning Approaches for Improving the Survival Prediction Rate in Heart Failure Patients S Singh, M Rout, R Lana, S Das, JJ Jena, AK Acharya 2023 OITS International Conference on Information Technology (OCIT), 508-513, 2023 | | 2023 |
| Embedding Parallelism In Image Processing Techniques And Its Applications S Das, GK Nayak, S Saxena High-Performance Medical Image Processing, 233-254, 2022 | | 2022 |
| Relevance Feedback Technique in Context Based Image Retrieval System”, GS Suchismita Das, Shruti Garg International Journal of Graphics and Image Processing, 1 (2), PP.215-220, 2011 | | 2011 |
