2k citations · 3.3k across the 7 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.CV2017★ 67 cited
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin +2
In this work we present a novel system for PET estimation using CT scans. We explore the use of fully convolutional networks (FCN) and conditional generative adversarial networks (…
cs.CV2017
Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN
Maayan Frid-Adar, Idit Diamant, Eyal Klang +3
Automatic detection of liver lesions in CT images poses a great challenge for researchers. In this work we present a deep learning approach that models explicitly the variability w…