| Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport V Ratner, Y Gao, H Lee, R Elkin, M Nedergaard, H Benveniste, ... Neuroimage 152, 530-537, 2017 | 71 | 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 | 40 | 2022 |
| Optimal-mass-transfer-based estimation of glymphatic transport in living brain V Ratner, L Zhu, I Kolesov, M Nedergaard, H Benveniste, A Tannenbaum Medical Imaging 2015: Image Processing 9413, 406-411, 2015 | 31 | 2015 |
| Denoising-enhancing images on elastic manifolds V Ratner, YY Zeevi IEEE Transactions on Image Processing 20 (8), 2099-2109, 2011 | 29 | 2011 |
| Hierarchical nucleus segmentation in digital pathology images Y Gao, V Ratner, L Zhu, T Diprima, T Kurc, A Tannenbaum, J Saltz Medical Imaging 2016: Digital Pathology 9791, 304-309, 2016 | 26 | 2016 |
| Image enhancement using elastic manifolds V Ratner, YY Zeevi 14th International Conference on Image Analysis and Processing (ICIAP 2007 …, 2007 | 26 | 2007 |
| Multi-scale learning based segmentation of glands in digital colonrectal pathology images Y Gao, W Liu, S Arjun, L Zhu, V Ratner, T Kurc, J Saltz, A Tannenbaum Medical Imaging 2016: Digital Pathology 9791, 175-180, 2016 | 17 | 2016 |
| 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, PG del Campo, V Ratner, D Khapun, ... Nature Machine Intelligence, 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 |
| Stable denoising-enhancement of images by telegraph-diffusion operators V Ratner, YY Zeevi 2013 IEEE International Conference on Image Processing, 1252-1256, 2013 | 8 | 2013 |
| Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels V Ratner, Y Shoshan, T Kachman https://arxiv.org/abs/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 |
| Reduce discrepancy of human annotators in medical imaging by automatic visual comparison to similar cases E Barkan, A Hazan, V Ratner US Patent 10,916,343, 2021 | 5 | 2021 |
| Augmentation loss function for image classification Y Shoshan, V Ratner US Patent 11,853,395, 2023 | 3 | 2023 |
| Stable image enhancement by adaptive damped wave equation with force term V Ratner, YY Zeevi 2011 Seventh International Conference on Signal Image Technology & Internet …, 2011 | 3 | 2011 |
| Telegraph-diffusion operator for image enhancement V Ratner, YY Zeevi 2007 IEEE International Conference on Image Processing 1, I-525-I-528, 2007 | 3 | 2007 |
| Medical object detection and identification via machine learning Y Shoshan, V Ratner US Patent 11,636,592, 2023 | 2 | 2023 |
| The dynamics of image processing viewed as damped elastic deformation V Ratner, YY Zeevi 2009 17th European Signal Processing Conference, 45-49, 2009 | 2 | 2009 |
| Image representation and enhancement on elastic manifolds V Ratner, YY Zeevi 2008 Ph. D. Research in Microelectronics and Electronics, 65-68, 2008 | 2 | 2008 |
Yoel ShoshanIBM ResearchVerified email at il.ibm.com
