Search Results for author: Yevgeniy Men

Found 4 papers, 2 papers with code

DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images

no code implementations22 Dec 2023 Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi, Lucas Zago Ribeiro, Luis Filipe Nakayama, Joachim A. Behar

Diabetic retinopathy (DR) is a prevalent complication of diabetes associated with a significant risk of vision loss.

Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization

1 code implementation12 Mar 2023 Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor

We then generalize regularized MDPs to twice regularized MDPs ($\text{R}^2$ MDPs), i. e., MDPs with $\textit{both}$ value and policy regularization.

PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation

no code implementations31 Jul 2022 Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar

Results: We built a fully automated vasculature biomarker toolbox based on DFI segmentations and provided a proof of usability to characterize the vascular changes in glaucoma.

Image Segmentation Segmentation +1

Generating Band-Limited Adversarial Surfaces Using Neural Networks

1 code implementation14 Nov 2021 Roee Ben Shlomo, Yevgeniy Men, Ido Imanuel

Generating adversarial examples is the art of creating a noise that is added to an input signal of a classifying neural network, and thus changing the network's classification, while keeping the noise as tenuous as possible.

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