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Journal Articles
- 2021
[j3]Jungkyu Park
, Yoel Shoshan, Robert Martí, Pablo Gómez del Campo, Vadim Ratner, Daniel Khapun, Aviad Zlotnick, Ella Barkan, Flora Gilboa-Solomon, Jakub Chledowski, Jan Witowski, Alexandra Millet, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, Krzysztof J. Geras:
Lessons from the first DBTex Challenge. Nat. Mach. Intell. 3(8): 735-736 (2021)- 2017
- [j2]Vadim Ratner, Yi Gao, Hedok Lee, Rena Elkin, Maiken Nedergaard, Helene Benveniste, Allen R. Tannenbaum:
Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport. NeuroImage 152: 530-537 (2017) - 2011
- [j1]Vadim Ratner, Yehoshua Y. Zeevi:
Denoising-Enhancing Images on Elastic Manifolds. IEEE Trans. Image Process. 20(8): 2099-2109 (2011)
Conference and Workshop Papers
- 2021
- [c13]Yoel Shoshan, Aviad Zlotnick, Vadim Ratner, Daniel Khapun, Ella Barkan, Flora Gilboa-Solomon:
Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes. MICCAI (5) 2021: 772-781 - 2016
- [c12]Yi Gao, William Liu, Shipra Arjun, Liangjia Zhu, Vadim Ratner, Tahsin M. Kurç, Joel H. Saltz, Allen R. Tannenbaum:
Multi-scale learning based segmentation of glands in digital colonrectal pathology images. Medical Imaging: Digital Pathology 2016: 97910M - [c11]Yi Gao, Vadim Ratner, Liangjia Zhu, Tammy Diprima, Tahsin M. Kurç, Allen R. Tannenbaum, Joel H. Saltz:
Hierarchical nucleus segmentation in digital pathology images. Medical Imaging: Digital Pathology 2016: 979117 - 2015
- [c10]Vadim Ratner, Liangjia Zhu, Ivan Kolesov, Maiken Nedergaard, Helene Benveniste, Allen R. Tannenbaum:
Optimal-mass-transfer-based estimation of glymphatic transport in living brain. Medical Imaging: Image Processing 2015: 94131J - [c9]Liangjia Zhu, Ivan Kolesov, Vadim Ratner, Peter Karasev, Allen R. Tannenbaum:
Interactive image segmentation framework based on control theory. Medical Imaging: Image Processing 2015: 941343 - 2013
- [c8]Vadim Ratner, Yehoshua Y. Zeevi:
Stable denoising-enhancement of images by telegraph-diffusion operators. ICIP 2013: 1252-1256 - 2011
- [c7]Vadim Ratner, Yehoshua Y. Zeevi:
Stable Image Enhancement by Adaptive Damped Wave Equation with Force Term. SITIS 2011: 284-290 - 2009
- [c6]Vadim Ratner, Yehoshua Y. Zeevi:
The dynamics of image processing viewed as damped elastic deformation. EUSIPCO 2009: 45-49 - [c5]Vadim Ratner, Yehoshua Y. Zeevi:
The dynamics of image processing viewed as deformation of elastic sheet. DPS 2009: 1-6 - [c4]Vadim Ratner, Yehoshua Y. Zeevi:
The dynamics of image denoising viewed as damped elastic deformation. ICIP 2009: 3989-3992 - 2007
- [c3]Vadim Ratner, Yehoshua Y. Zeevi:
Image Enhancement Using Elastic Manifolds. ICIAP 2007: 769-774 - [c2]Vadim Ratner, Yehoshua Y. Zeevi:
Telegraph-Diffusion Operator for Image Enhancement. ICIP (1) 2007: 525-528 - 2000
- [c1]Alexander E. Kel, Igor Deineko, Olga V. Kel-Margoulis, Edgar Wingender, Vadim Ratner:
Modeling of Gene Regulatory Network of Cell Cycle Control. Role of E2F Feedback Loops. German Conference on Bioinformatics 2000: 107-114
Informal and Other Publications
- 2024
- [i4]Alex Golts, Vadim Ratner, Yoel Shoshan, Moshe Raboh, Sagi Polaczek, Michal Ozery-Flato, Daniel Shats, Liam Hazan, Sivan Ravid, Efrat Hexter:
A large dataset curation and benchmark for drug target interaction. CoRR abs/2401.17174 (2024) - 2018
- [i3]Alon Hazan, Yoel Shoshan, Daniel Khapun, Roy Aladjem, Vadim Ratner:
AdapterNet - learning input transformation for domain adaptation. CoRR abs/1805.11601 (2018) - [i2]Vadim Ratner, Yoel Shoshan, Tal Kachman:
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels. CoRR abs/1805.11837 (2018) - [i1]Yoel Shoshan, Vadim Ratner:
Regularized adversarial examples for model interpretability. CoRR abs/1811.07311 (2018)
Coauthor Index
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