| StepEncog: A convolutional LSTM autoencoder for near-perfect fMRI encoding SR Oota, V Rowtula, M Gupta, RS Bapi 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 13 | 2019 |
| Visio-linguistic brain encoding SR Oota, J Arora, V Rowtula, M Gupta, RS Bapi arXiv preprint arXiv:2204.08261, 2022 | 12 | 2022 |
| Pos tagging and named entity recognition on handwritten documents V Rowtula, P Krishnan Proceedings of the 15th International Conference on Natural Language …, 2018 | 9 | 2018 |
| Towards automated evaluation of handwritten assessments V Rowtula, SR Oota, CV Jawahar 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 8 | 2019 |
| Healtech-a system for predicting patient hospitalization risk and wound progression in old patients SR Oota, V Rowtula, S Mohammed, J Galitz, M Liu, M Gupta Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 7 | 2021 |
| Scaling handwritten student assessments with a document image workflow system V Rowtula, V Bhargavan, M Kumar, CV Jawahar Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 4 | 2018 |
| WSNet: towards an effective method for wound image segmentation SR Oota, V Rowtula, S Mohammed, M Liu, M Gupta Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 3 | 2023 |
| A deep autoencoder for near-perfect fMRI encoding V Rowtula, S Oota, M Gupta, BR Surampudi | 3 | 2018 |
| A deep multi-modal method for patient wound healing assessment SR Oota, V Rowtula, S Mohammed, J Galitz, M Liu, M Gupta Med. Imag. Meets NEURIPS, 1-4, 2017 | 1 | 2017 |
| Visio-Linguistic Brain Encoding S Reddy Oota, J Arora, V Rowtula, M Gupta, RS Bapi arXiv e-prints, arXiv: 2204.08261, 2022 | | 2022 |
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