| 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 | 39 | 2022 |
| 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 | 17 | 2023 |
| 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 | 13 | 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 | 10 | 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 | 10 | 2021 |
| 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 |
| 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 |
| Pre-NMS filtering using a heat map A Zlotnick, Y Shoshan, V Ratner, D Khapun US Patent 11,967,068, 2024 | 1 | 2024 |
| Methods to induce non-rigid mesh transformation in-variance to CNN based medical imaging classifiers E Barkan, A Hazan, D Khapun, V Ratner US Patent 11,195,275, 2021 | | 2021 |
| Lessons from the first DBTex Challenge NM Intelligence, J Park, Y Shoshan, R Martí, PG del Campo, V Ratner, ... | | |
