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 | 114 | 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 | 90 | 2022 |
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 | 33 | 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 | 27 | 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 | 24 | 2022 |
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 | 14 | 2020 |
Brain Tumor Segmentation from MRI Images Using Deep Learning Framework S Das Advances in Intelligent Systems and Computing book series (AISC, volume 1119 …, 2020 | 12 | 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 | 6 | 2021 |
Clinicohaematological studies on theileriosis in crossbred cattle in and around Bhubaneswar AP Acharya, SK Panda, S Das, AR Gupta Ind. J. Vet. Med 35 (1), 36-38, 2015 | 6 | 2015 |
IEEE Int. Conf. on Solid Dielectrics (ICSD) S Das, N Gupta IEEE, Potsdam, Germany, 2010 | 5 | 2010 |
Influence of weather factors on pest incidence in aromatic rice M Jena, A Pattnaik, KM Das, S Das ORYZA-An International Journal on Rice 46 (4), 314-317, 2009 | 5 | 2009 |
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 83 (28), 71885-71908, 2024 | 4 | 2024 |
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 | 3 | 2023 |
Efficiency Analysis of CNN through Different Filters for Medical Image Classification UJ Monani, S Samanta, MK Gourisaria, S Das 2024 Second International Conference on Data Science and Information System …, 2024 | 1 | 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 | 1 | 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 | 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 |
Characterization of an air borne bacterium to different environmental Parameters S Pattnaik, SN Das, N Behera Research Journal of Pharmacognosy and Phytochemistry 2 (4), 297-300, 2010 | 1 | 2010 |
Brain tumor progression analysis: A comprehensive review K Mohapatra, K Mishra, A Pattnaik, MK Gourisaria, S Saxena, S Das Radiomics and Radiogenomics in Neuro-Oncology, 167-180, 2025 | | 2025 |