49 citations · 96 across the 3 of their papers we have counts for
4 papers
Elastic deformation of optical coherence tomography images of diabetic macular edema for deep-learning models training: how far to go?
Daniel Bar-David, Laura Bar-David, Yinon Shapira +5
To explore the clinical validity of elastic deformation of optical coherence tomography (OCT) images for data augmentation in the development of deep-learning model for detection o…
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
In this paper, we propose a normal estimation method for unstructured 3D point clouds. This method, called Nesti-Net, builds on a new local point cloud representation which consist…
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
The point cloud is gaining prominence as a method for representing 3D shapes, but its irregular format poses a challenge for deep learning methods. The common solution of transform…
Graph Based Over-Segmentation Methods for 3D Point Clouds
Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum +1
Over-segmentation, or super-pixel generation, is a common preliminary stage for many computer vision applications. New acquisition technologies enable the capturing of 3D point clo…