| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1971 | 2018 |
| Mobilevit: light-weight, general-purpose, and mobile-friendly vision transformer S Mehta, M Rastegari arXiv preprint arXiv:2110.02178, 2021 | 1325 | 2021 |
| Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation S Mehta, M Rastegari, A Caspi, L Shapiro, H Hajishirzi Proceedings of the european conference on computer vision (ECCV), 552-568, 2018 | 1002 | 2018 |
| Espnetv2: A light-weight, power efficient, and general purpose convolutional neural network S Mehta, M Rastegari, L Shapiro, H Hajishirzi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 543 | 2019 |
| Y-Net: joint segmentation and classification for diagnosis of breast biopsy images S Mehta, E Mercan, J Bartlett, D Weaver, JG Elmore, L Shapiro Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 244 | 2018 |
| Separable self-attention for mobile vision transformers S Mehta, M Rastegari arXiv preprint arXiv:2206.02680, 2022 | 238 | 2022 |
| Delight: Deep and light-weight transformer S Mehta, M Ghazvininejad, S Iyer, L Zettlemoyer, H Hajishirzi arXiv preprint arXiv:2008.00623, 2020 | 131 | 2020 |
| Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer. arXiv 2021 S Mehta, M Rastegari arXiv preprint arXiv:2110.02178, 0 | 122 | |
| Deepsolareye: Power loss prediction and weakly supervised soiling localization via fully convolutional networks for solar panels S Mehta, AP Azad, SA Chemmengath, V Raykar, S Kalyanaraman 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 333-342, 2018 | 108 | 2018 |
| 3D-ESPNet with pyramidal refinement for volumetric brain tumor image segmentation N Nuechterlein, S Mehta Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 86 | 2019 |
| Assessment of machine learning of breast pathology structures for automated differentiation of breast cancer and high-risk proliferative lesions E Mercan, S Mehta, J Bartlett, LG Shapiro, DL Weaver, JG Elmore JAMA network open 2 (8), e198777-e198777, 2019 | 75 | 2019 |
| Sam-clip: Merging vision foundation models towards semantic and spatial understanding H Wang, PKA Vasu, F Faghri, R Vemulapalli, M Farajtabar, S Mehta, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 67 | 2024 |
| A facial affect analysis system for autism spectrum disorder B Li, S Mehta, D Aneja, C Foster, P Ventola, F Shic, L Shapiro 2019 IEEE International Conference on Image Processing (ICIP), 4549-4553, 2019 | 66 | 2019 |
| Medicat: A dataset of medical images, captions, and textual references S Subramanian, LL Wang, S Mehta, B Bogin, M van Zuylen, S Parasa, ... arXiv preprint arXiv:2010.06000, 2020 | 61 | 2020 |
| DiCENet: Dimension-Wise Convolutions for Efficient Networks S Mehta, H Hajishirzi, M Rastegari IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (5), 2416-2425, 2020 | 52 | 2020 |
| Learning to segment breast biopsy whole slide images S Mehta, E Mercan, J Bartlett, D Weaver, J Elmore, L Shapiro 2018 IEEE winter conference on applications of computer vision (WACV), 663-672, 2018 | 50 | 2018 |
| Relu strikes back: Exploiting activation sparsity in large language models I Mirzadeh, K Alizadeh, S Mehta, CC Del Mundo, O Tuzel, G Samei, ... arXiv preprint arXiv:2310.04564, 2023 | 39 | 2023 |
| Rethinking semantic segmentation evaluation for explainability and model selection Y Zhang, S Mehta, A Caspi arXiv preprint arXiv:2101.08418, 2021 | 32 | 2021 |
| Machine learning techniques for mitoses classification S Nofallah, S Mehta, E Mercan, S Knezevich, CJ May, D Weaver, D Witten, ... Computerized Medical Imaging and Graphics 87, 101832, 2021 | 31 | 2021 |
| A study of DWT and SVD based watermarking algorithms for patient privacy in medical images S Mehta, R Nallusamy, RV Marawar, B Prabhakaran 2013 IEEE International Conference on Healthcare Informatics, 287-296, 2013 | 31 | 2013 |
Mohammad RastegariDistinguished AI Scientist at Meta Inc.Verified email at cs.washington.edu
