Identifying facial phenotypes of genetic disorders using deep learning Y Gurovich, Y Hanani, O Bar, G Nadav, N Fleischer, D Gelbman, ... Nature medicine 25 (1), 60-64, 2019 | 603 | 2019 |
Motion interchange patterns for action recognition in unconstrained videos O Kliper-Gross, Y Gurovich, T Hassner, L Wolf Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 251 | 2012 |
PEDIA: prioritization of exome data by image analysis TC Hsieh, MA Mensah, JT Pantel, D Aguilar, O Bar, A Bayat, ... Genetics in Medicine 21 (12), 2807-2814, 2019 | 89 | 2019 |
Characterization of glycosylphosphatidylinositol biosynthesis defects by clinical features, flow cytometry, and automated image analysis A Knaus, JT Pantel, M Pendziwiat, N Hajjir, M Zhao, TC Hsieh, ... Genome Medicine 10, 1-13, 2018 | 88 | 2018 |
DeepGestalt-identifying rare genetic syndromes using deep learning Y Gurovich, Y Hanani, O Bar, N Fleischer, D Gelbman, L Basel-Salmon, ... arXiv preprint arXiv:1801.07637, 2018 | 46 | 2018 |
Advances in computer‐assisted syndrome recognition by the example of inborn errors of metabolism JT Pantel, M Zhao, MA Mensah, N Hajjir, TC Hsieh, Y Hanani, N Fleischer, ... Journal of Inherited Metabolic Disease: Official Journal of the Society for …, 2018 | 44 | 2018 |
Systems, methods, and computer-readable media for time lapse image comparison in genetic disorder analysis D Gelbman, Y Gurovich US Patent 10,016,167, 2018 | 10 | 2018 |
Advances in computer-assisted syndrome recognition and differentiation in a set of metabolic disorders JT Pantel, M Zhao, MA Mensah, N Hajjir, TC Hsieh, Y Hanani, N Fleischer, ... bioRxiv, 219394, 2017 | 7 | 2017 |
System and method for images distortion correction N Raichman, R Schwartz, BARD Hadas, R Littman, U Danino, N Zieber, ... US Patent App. 15/129,545, 2017 | 7 | 2017 |
Systems, methods, and computer-readable media for patient image analysis to identify new diseases D Gelbman, Y Gurovich US Patent 10,327,637, 2019 | 5 | 2019 |
Systems, methods, and computer-readable media for determining a likely presence of a genetic disorder D Gelbman, Y Gurovich US Patent 10,165,983, 2019 | 5 | 2019 |
Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature D Gelbman, Y Gurovich US Patent 9,504,428, 2016 | 4 | 2016 |
Quality scores for deep regression systems Y Gurovich, I Kissos, Y Hanani 2016 IEEE International Conference on Image Processing (ICIP), 3758-3762, 2016 | 4 | 2016 |
The path to and impact of disease recognition with AI Y Gurovich IEEE pulse 11 (1), 13-16, 2020 | 3 | 2020 |
Systems, methods, and computer-readable media for determining when a subject is likely to be affected by a genetic disorder D Gelbman, Y Gurovich US Patent 9,597,037, 2017 | 2 | 2017 |
Systems, methods, and computer-readable media for patient image analysis to identify new diseases D Gelbman, Y Gurovich US Patent 10,667,689, 2020 | 1 | 2020 |
Systems, methods, and computer-readable media for gene and genetic variant prioritization D Gelbman, Y Gurovich US Patent 10,470,659, 2019 | 1 | 2019 |
Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature D Gelbman, Y Gurovich US Patent 9,668,702, 2017 | 1 | 2017 |
Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature D Gelbman, Y Gurovich US Patent 9,392,977, 2016 | 1 | 2016 |
On Disentangled and Locally Fair Representations Y Gurovich, S Benaim, L Wolf arXiv preprint arXiv:2205.02673, 2022 | | 2022 |