Sachin Mehta
Sachin Mehta
AI/ML Applied Research Scientist at Apple Inc.
Email confirmado em - Página inicial
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Citado por
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
Mobilevit: light-weight, general-purpose, and mobile-friendly vision transformer
S Mehta, M Rastegari
arXiv preprint arXiv:2110.02178, 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
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
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
Separable self-attention for mobile vision transformers
S Mehta, M Rastegari
arXiv preprint arXiv:2206.02680, 2022
Delight: Deep and light-weight transformer
S Mehta, M Ghazvininejad, S Iyer, L Zettlemoyer, H Hajishirzi
arXiv preprint arXiv:2008.00623, 2020
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
Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer. arXiv 2021
S Mehta, M Rastegari
arXiv preprint arXiv:2110.02178, 0
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
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
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
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
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
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
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
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
System for determining an illegitimate three dimensional video and methods thereof
S Mehta, R Nallusamy
US Patent 9,202,257, 2015
Rethinking semantic segmentation evaluation for explainability and model selection
Y Zhang, S Mehta, A Caspi
arXiv preprint arXiv:2101.08418, 2021
Define: Deep factorized input token embeddings for neural sequence modeling
S Mehta, R Koncel-Kedziorski, M Rastegari, H Hajishirzi
arXiv preprint arXiv:1911.12385, 2019
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