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Vadim Ratner
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2020 – today
- 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) - 2021
- [j3]Jungkyu Park
, Yoel Shoshan
Lessons from the first DBTex Challenge. Nat. Mach. Intell. 3(8): 735-736 (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
2010 – 2019
- 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) - 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) - 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
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
- [j1]Vadim Ratner, Yehoshua Y. Zeevi:
Denoising-Enhancing Images on Elastic Manifolds. IEEE Trans. Image Process. 20(8): 2099-2109 (2011) - [c7]Vadim Ratner, Yehoshua Y. Zeevi:
Stable Image Enhancement by Adaptive Damped Wave Equation with Force Term. SITIS 2011: 284-290
2000 – 2009
- 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
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