| Toward automated classification of b-acute lymphoblastic leukemia R Kulhalli, C Savadikar, B Garware ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging: Select …, 2019 | 21 | 2019 |
| Brain tumour segmentation using probabilistic U-Net C Savadikar, R Kulhalli, B Garware Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 17 | 2021 |
| A hierarchical approach to skin lesion classification R Kulhalli, C Savadikar, B Garware Proceedings of the ACM India joint international conference on data science …, 2019 | 14 | 2019 |
| towards designing accurate FISH probe detection using 3D U-Nets on microscopic blood cell images C Savadikar, S Tahvilian, L Baden, R Reed, D Leventon, P Pagano, ... Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 282-288, 2020 | 2 | 2020 |
| Systems and methods for designing accurate fluorescence in-situ hybridization probe detection on microscopic blood cell images using machine learning S Tahvilian, L Baden, D Gramajo-leventon, R Rebecca, B Garware, ... US Patent App. 17/788,525, 2023 | 1 | 2023 |
| ‘Learning to grow artificial hippocampi in vision transformers for resilient lifelong learning C Savadikar, M Dai, T Wu arXiv preprint arXiv:2303.08250, 2023 | 1 | 2023 |
| GIFT: Generative Interpretable Fine-Tuning Transformers C Savadikar, X Song, T Wu arXiv preprint arXiv:2312.00700, 2023 | | 2023 |
| Transforming Transformers for Resilient Lifelong Learning C Savadikar, M Dai, T Wu arXiv preprint arXiv:2303.08250, 2023 | | 2023 |
