| 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 | 583 | 2019 |
| Improving post training neural quantization: Layer-wise calibration and integer programming I Hubara, Y Nahshan, Y Hanani, R Banner, D Soudry arXiv preprint arXiv:2006.10518, 2020 | 109 | 2020 |
| Accurate post training quantization with small calibration sets I Hubara, Y Nahshan, Y Hanani, R Banner, D Soudry International Conference on Machine Learning, 4466-4475, 2021 | 106 | 2021 |
| Joint word2vec Networks for Bilingual Semantic Representations. L Wolf, Y Hanani, K Bar, N Dershowitz Int. J. Comput. Linguistics Appl. 5 (1), 27-42, 2014 | 94 | 2014 |
| 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 | 86 | 2019 |
| 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 |
| 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 | 44 | 2018 |
| Evaluating new variants of motion interchange patterns Y Hanani, N Levy, L Wolf Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 13 | 2013 |
| System, a method and a computer program product for patch-based defect detection M Amzaleg, NBD Dodzin, V Gatt, Y Hanani, E Rozenman US Patent 9,235,885, 2016 | 12 | 2016 |
| & Bird, LM (2019). 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, 0 | 8 | |
| 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 |
| 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 |
| A piggyback representation for action recognition L Wolf, Y Hanani, T Hassner Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 3 | 2014 |
| GestaltMatcher: Identifying the second patient of its kind in the phenotype space T Hsieh, A Bar-Haim, D Dukic, TJ Pantel, M Mensah, Y Gurovich, ... EUROPEAN JOURNAL OF HUMAN GENETICS 27, 1159-1159, 2019 | | 2019 |
| Expanding Next Generation Phenotyping on clinical notes and hand radiographs Y Hanani, A Superti-Furga, H Warren, Y Gurovich, N Fleischer, ... EUROPEAN JOURNAL OF HUMAN GENETICS 27, 1078-1079, 2019 | | 2019 |
| Advances in computer-assisted syndrome recognition by the example of inborn errors of metabolism JT Pantel, M Zhao, MA Mensah, N Hajjir, T Hsieh, Y Hanani, N Fleischer, ... EUROPEAN JOURNAL OF HUMAN GENETICS 27, 574-575, 2019 | | 2019 |
| Exploring molecular interactions by clustering analysis of similarity scores from next-generation phenotyping approaches T Hsieh, N Hajjir, JT Pantel, M Mensah, M Zhao, J Hertzberg, M Schubach, ... EUROPEAN JOURNAL OF HUMAN GENETICS 27, 584-584, 2019 | | 2019 |
| DeepGestalt-using deep learning to detect rare genetic syndromes from facial phenotype Y Gurovich, Y Hanani, O Bar, L Basel-Salmon, PM Krawitz, ... EUROPEAN JOURNAL OF HUMAN GENETICS 27, 510-510, 2019 | | 2019 |
| New Approaches in Action Recognition in Unconstrained Videos Y Hanani Universitat Tel-Aviv, 2014 | | 2014 |
| Supplementary Material: Accurate Post Training Quantization With Small Calibration Sets I Hubara, Y Nahshan, Y Hanani, R Banner, D Soudry | | |
