Modeling of Gene Regulatory Network of Cell Cycle Control. Role of E2F Feedback Loops. - Alexander E. Kel; Igor Deineko; Olga V. Kel-Margoulis; Edgar Wingender; Vadim Ratner (German Conference on Bioinformatics, 2000)

Image Enhancement Using Elastic Manifolds. - Vadim Ratner; Yehoshua Y. Zeevi (ICIAP, 2007)

Telegraph-Diffusion Operator for Image Enhancement. - Vadim Ratner; Yehoshua Y. Zeevi (ICIP (1), 2007)

The dynamics of image processing viewed as damped elastic deformation. - Vadim Ratner; Yehoshua Y. Zeevi (EUSIPCO, 2009)

The dynamics of image processing viewed as deformation of elastic sheet. - Vadim Ratner; Yehoshua Y. Zeevi (DPS, 2009)

The dynamics of image denoising viewed as damped elastic deformation. - Vadim Ratner; Yehoshua Y. Zeevi (ICIP, 2009)

Stable Image Enhancement by Adaptive Damped Wave Equation with Force Term. - Vadim Ratner; Yehoshua Y. Zeevi (SITIS, 2011)

Denoising-Enhancing Images on Elastic Manifolds. - Vadim Ratner; Yehoshua Y. Zeevi (IEEE Trans. Image Process., 2011)

Stable denoising-enhancement of images by telegraph-diffusion operators. - Vadim Ratner; Yehoshua Y. Zeevi (ICIP, 2013)

Optimal-mass-transfer-based estimation of glymphatic transport in living brain. - Vadim Ratner; Liangjia Zhu; Ivan Kolesov; Maiken Nedergaard; Helene Benveniste; Allen R. Tannenbaum (Image Processing, 2015)

Interactive image segmentation framework based on control theory. - Liangjia Zhu; Ivan Kolesov; Vadim Ratner; Peter Karasev; Allen R. Tannenbaum (Image Processing, 2015)

Multi-scale learning based segmentation of glands in digital colonrectal pathology images. - Yi Gao 002; William Liu; Shipra Arjun; Liangjia Zhu; Vadim Ratner; Tahsin M. Kurç; Joel H. Saltz; Allen R. Tannenbaum (Digital Pathology, 2016)

Hierarchical nucleus segmentation in digital pathology images. - Yi Gao 002; Vadim Ratner; Liangjia Zhu; Tammy Diprima; Tahsin M. Kurç; Allen R. Tannenbaum; Joel H. Saltz (Digital Pathology, 2016)

Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport. - Vadim Ratner; Yi Gao 002; Hedok Lee; Rena Elkin; Maiken Nedergaard; Helene Benveniste; Allen R. Tannenbaum (NeuroImage, 2017)

AdapterNet - learning input transformation for domain adaptation. - Alon Hazan; Yoel Shoshan; Daniel Khapun; Roy Aladjem; Vadim Ratner (CoRR, 2018)

Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels. - Vadim Ratner; Yoel Shoshan; Tal Kachman (CoRR, 2018)

Regularized adversarial examples for model interpretability. - Yoel Shoshan; Vadim Ratner (CoRR, 2018)

Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes. - Yoel Shoshan; Aviad Zlotnick; Vadim Ratner; Daniel Khapun; Ella Barkan; Flora Gilboa-Solomon (MICCAI (5), 2021)

Lessons from the first DBTex Challenge. - Jungkyu Park 001; 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; et al. (Nat. Mach. Intell., 2021)

A large dataset curation and benchmark for drug target interaction. - Alex Golts; Vadim Ratner; Yoel Shoshan; Moshe Raboh; Sagi Polaczek; Michal Ozery-Flato; Daniel Shats; Liam Hazan; Sivan Ravid; Efrat Hexter (CoRR, 2024)

MAMMAL - Molecular Aligned Multi-Modal Architecture and Language. - 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; et al. (CoRR, 2024)