Vadim Ratner

21 papers B 4Misc 1Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
A large dataset curation and benchmark for drug target interaction.
CoRR
Alex Golts, Vadim Ratner, Yoel Shoshan, Moshe Raboh, Sagi Polaczek, Michal Ozery-Flato, Daniel Shats, Liam Hazan, Sivan Ravid, Efrat Hexter
2024 J jnl
MAMMAL - Molecular Aligned Multi-Modal Architecture and Language.
CoRR
Yoel Shoshan, Moshiko Raboh, Michal Ozery-Flato, Vadim Ratner, Alex Golts, Jeffrey K. Weber, Ella Barkan, Simona Rabinovici-Cohen, Sagi Polaczek, Ido Amos, Ben Shapira, Liam Hazan, Matan Ninio, Sivan Ravid, Michael M. Danziger, Joseph A. Morrone, Parthasarathy Suryanarayanan, Michal Rosen-Zvi, Efrat Hexter
2021 — conf
Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes.
MICCAI (5)
Yoel Shoshan, Aviad Zlotnick, Vadim Ratner, Daniel Khapun, Ella Barkan, Flora Gilboa-Solomon
2021 J jnl
Lessons from the first DBTex Challenge.
Nat. Mach. Intell.
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 E. 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
2018 J jnl
AdapterNet - learning input transformation for domain adaptation.
CoRR
Alon Hazan, Yoel Shoshan, Daniel Khapun, Roy Aladjem, Vadim Ratner
2018 J jnl
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels.
CoRR
Vadim Ratner, Yoel Shoshan, Tal Kachman
2018 J jnl
Regularized adversarial examples for model interpretability.
CoRR
Yoel Shoshan, Vadim Ratner
2017 J jnl
Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport.
NeuroImage
Vadim Ratner, Yi Gao, Hedok Lee, Rena Elkin, Maiken Nedergaard, Helene Benveniste, Allen R. Tannenbaum
2016 — conf
Hierarchical nucleus segmentation in digital pathology images.
Digital Pathology
Yi Gao, Vadim Ratner, LiangJia Zhu, Tammy DiPrima, Tahsin M. Kurç, Allen R. Tannenbaum, Joel H. Saltz
2016 — conf
Multi-scale learning based segmentation of glands in digital colonrectal pathology images.
Digital Pathology
Yi Gao, William Liu, Shipra Arjun, LiangJia Zhu, Vadim Ratner, Tahsin M. Kurç, Joel H. Saltz, Allen R. Tannenbaum
2015 B conf
Interactive image segmentation framework based on control theory.
Image Processing
LiangJia Zhu, Ivan Kolesov, Vadim Ratner, Peter Karasev, Allen R. Tannenbaum
2015 B conf
Optimal-mass-transfer-based estimation of glymphatic transport in living brain.
Image Processing
Vadim Ratner, LiangJia Zhu, Ivan Kolesov, Maiken Nedergaard, Helene Benveniste, Allen R. Tannenbaum
2013 B conf
Stable denoising-enhancement of images by telegraph-diffusion operators.
ICIP
Vadim Ratner, Yehoshua Y. Zeevi
2011 J jnl
Denoising-Enhancing Images on Elastic Manifolds.
IEEE Trans. Image Process.
Vadim Ratner, Yehoshua Y. Zeevi
2011 — conf
Stable Image Enhancement by Adaptive Damped Wave Equation with Force Term.
SITIS
Vadim Ratner, Yehoshua Y. Zeevi
2009 B conf
The dynamics of image denoising viewed as damped elastic deformation.
ICIP
Vadim Ratner, Yehoshua Y. Zeevi
2009 — conf
The dynamics of image processing viewed as damped elastic deformation.
EUSIPCO
Vadim Ratner, Yehoshua Y. Zeevi
2009 — conf
The dynamics of image processing viewed as deformation of elastic sheet.
DPS
Vadim Ratner, Yehoshua Y. Zeevi
2007 Misc conf
Image Enhancement Using Elastic Manifolds.
ICIAP
Vadim Ratner, Yehoshua Y. Zeevi
2007 — conf
Telegraph-Diffusion Operator for Image Enhancement.
ICIP (1)
Vadim Ratner, Yehoshua Y. Zeevi
2000 — conf
Modeling of Gene Regulatory Network of Cell Cycle Control. Role of E2F Feedback Loops.
German Conference on Bioinformatics
Alexander E. Kel, Igor Deineko, Olga V. Kel-Margoulis, Edgar Wingender, Vadim Ratner