| Understanding the mechanisms of deep transfer learning for medical images H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 215 | 2016 |
| Learning and incorporating shape models for semantic segmentation H Ravishankar, R Venkataramani, S Thiruvenkadam, P Sudhakar, ... International conference on medical image computing and computer-assisted …, 2017 | 194 | 2017 |
| Systems and methods for predicting outcomes using raw data DD Shanbhag, H Ravishankar, R Venkataramani US Patent 11,605,455, 2023 | 103 | 2023 |
| Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning H Ravishankar, SM Prabhu, V Vaidya, N Singhal 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 779-782, 2016 | 61 | 2016 |
| Deep Learning and Data Labeling for Medical Applications H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... Cham: Springer, 188-196, 2016 | 49 | 2016 |
| Shape-from-focus by tensor voting R Hariharan, AN Rajagopalan IEEE Transactions on image Processing 21 (7), 3323-3328, 2012 | 33 | 2012 |
| Understanding the mechanisms of deep transfer learning for medical images H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... arXiv preprint arXiv:1704.06040, 2017 | 31 | 2017 |
| Towards continuous domain adaptation for medical imaging R Venkataramani, H Ravishankar, S Anamandra 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 25 | 2019 |
| Joint deep learning of foreground, background and shape for robust contextual segmentation H Ravishankar, S Thiruvenkadam, R Venkataramani, V Vaidya International Conference on Information Processing in Medical Imaging, 622-632, 2017 | 25 | 2017 |
| Recursive feature elimination for biomarker discovery in resting-state functional connectivity H Ravishankar, R Madhavan, R Mullick, T Shetty, L Marinelli, SE Joel 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 24 | 2016 |
| Respiratory stress detection G Swamy, S Genc, H Ravishankar, A Saha US Patent 9,750,463, 2017 | 18 | 2017 |
| Offline handwritten word recognition in Hindi S Ramachandrula, S Jain, H Ravishankar Proceeding of the workshop on Document Analysis and Recognition, 49-54, 2012 | 16 | 2012 |
| Feature transformers: privacy preserving lifelong learners for medical imaging H Ravishankar, R Venkataramani, S Anamandra, P Sudhakar, P Annangi Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 14 | 2019 |
| An early respiratory distress detection method with markov models H Ravishankar, A Saha, G Swamy, S Genc 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 14 | 2014 |
| Topology aware graph neural nets BR Sundar, R Madhavan, H Ravishankar US Patent App. 15/637,837, 2019 | 13 | 2019 |
| Automated kidney morphology measurements from ultrasound images using texture and edge analysis H Ravishankar, P Annangi, M Washburn, J Lanning Medical Imaging 2016: Ultrasonic Imaging and Tomography 9790, 359-365, 2016 | 10 | 2016 |
| Self distillation for improving the generalizability of retinal disease diagnosis using optical coherence tomography images N Paluru, H Ravishankar, S Hegde, PK Yalavarthy IEEE Journal of Selected Topics in Quantum Electronics 29 (4: Biophotonics …, 2023 | 9 | 2023 |
| Towards continuous domain adaptation for healthcare R Venkataramani, H Ravishankar, S Anamandra arXiv preprint arXiv:1812.01281, 2018 | 8 | 2018 |
| Methods and systems for user defined distributed learning models for medical imaging H Ravishankar, V Vaidya, CF Perrey US Patent App. 15/828,936, 2018 | 8 | 2018 |
| Authenticating a user by correlating speech and corresponding lip shape S Ramachandrula, H Ravishankar US Patent 9,754,193, 2017 | 8 | 2017 |
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