| Predicting breast cancer by applying deep learning to linked health records and mammograms A Akselrod-Ballin, M Chorev, Y Shoshan, A Spiro, A Hazan, R Melamed, ... Radiology 292 (2), 331-342, 2019 | 169 | 2019 |
| Deep learning for automatic detection of abnormal findings in breast mammography A Akselrod-Ballin, L Karlinsky, A Hazan, R Bakalo, AB Horesh, Y Shoshan, ... Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 61 | 2017 |
| Artificial intelligence for reducing workload in breast cancer screening with digital breast tomosynthesis Y Shoshan, R Bakalo, F Gilboa-Solomon, V Ratner, E Barkan, ... Radiology 303 (1), 69-77, 2022 | 44 | 2022 |
| Internet-based graphics application profile management system for updating graphic application profiles stored within the multi-GPU graphics rendering subsystems of client … R Bakalash, Y Shoshan, G Sela US Patent 9,584,592, 2017 | 35 | 2017 |
| The kits21 challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase ct N Heller, F Isensee, D Trofimova, R Tejpaul, Z Zhao, H Chen, L Wang, ... arXiv preprint arXiv:2307.01984, 2023 | 27 | 2023 |
| Automatic game support content generation and retrieval Y Shoshan US Patent App. 14/701,554, 2016 | 18 | 2016 |
| Application-transparent resolution control by way of command stream interception R Bakalash, Y Shoshan, O Remez US Patent 9,082,196, 2015 | 18 | 2015 |
| Application-transparent resolution control by way of command stream interception Y Shoshan US Patent App. 14/576,248, 2015 | 16 | 2015 |
| An ensemble of 3D U-Net based models for segmentation of kidney and masses in CT scans A Golts, D Khapun, D Shats, Y Shoshan, F Gilboa-Solomon International Challenge on Kidney and Kidney Tumor Segmentation, 103-115, 2021 | 15 | 2021 |
| A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis N Konz, M Buda, H Gu, A Saha, J Yang, J Chłędowski, J Park, J Witowski, ... JAMA network open 6 (2), e230524-e230524, 2023 | 11 | 2023 |
| Lessons from the first DBTex Challenge J Park, Y Shoshan, R Martí, P Gómez del Campo, V Ratner, D Khapun, ... Nature Machine Intelligence 3 (8), 735-736, 2021 | 11 | 2021 |
| Apparatus and method of adjusting backlighting of image displays Y Shoshan, B Oicherman, R Weitzman US Patent 10,181,298, 2019 | 10 | 2019 |
| Beyond non-maximum suppression-detecting lesions in digital breast tomosynthesis volumes Y Shoshan, A Zlotnick, V Ratner, D Khapun, E Barkan, F Gilboa-Solomon Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| The case of missed cancers: applying AI as a radiologist’s safety net M Chorev, Y Shoshan, A Akselrod-Ballin, A Spiro, S Naor, A Hazan, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 8 | 2020 |
| Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels V Ratner, Y Shoshan, T Kachman arXiv preprint arXiv:1805.11837, 2018 | 7 | 2018 |
| AdapterNet-learning input transformation for domain adaptation A Hazan, Y Shoshan, D Khapun, R Aladjem, V Ratner arXiv preprint arXiv:1805.11601, 2018 | 6 | 2018 |
| FuseMedML: a framework for accelerated discovery in machine learning based biomedicine A Golts, M Raboh, Y Shoshan, S Polaczek, S Rabinovici-Cohen, E Hexter Journal of Open Source Software 8 (81), 4943, 2023 | 5 | 2023 |
| On the choice of active site sequences for kinase-ligand affinity prediction J Born, Y Shoshan, T Huynh, WD Cornell, EJ Martin, M Manica Journal of chemical information and modeling 62 (18), 4295-4299, 2022 | 5 | 2022 |
| Systems and methods for predicting likelihood of malignancy in a target tissue A Akselrod-Ballin, M Chorev, A Hazan, R Melamed, Y Shoshan, A Spiro US Patent App. 16/442,510, 2020 | 4 | 2020 |
| Augmentation loss function for image classification Y Shoshan, V Ratner US Patent 11,853,395, 2023 | 3 | 2023 |
