-
Deep Active Lesion Segmentation
Lesion segmentation is an important problem in computer-assisted diagnos...
08/19/2019 ∙ by Ali Hatamizadeh, et al. ∙
4
∙
share
read it
-
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
Reconstructing observed images from fMRI brain recordings is challenging...
07/03/2019 ∙ by Roman Beliy, et al. ∙
13
∙
share
read it
-
Self-Attention Capsule Networks for Image Classification
We propose a novel architecture for image classification, called Self-At...
04/29/2019 ∙ by Assaf Hoogi, et al. ∙
0
∙
share
read it
-
TVAE: Triplet-Based Variational Autoencoder using Metric Learning
Deep metric learning has been demonstrated to be highly effective in lea...
02/13/2018 ∙ by Haque Ishfaq, et al. ∙
0
∙
share
read it
-
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes
We propose a fully-automated method for accurate and robust detection an...
03/19/2017 ∙ by Assaf Hoogi, et al. ∙
0
∙
share
read it
-
Adaptive Local Window for Level Set Segmentation of CT and MRI Liver Lesions
We propose a novel method, the adaptive local window, for improving leve...
06/12/2016 ∙ by Assaf Hoogi, et al. ∙
0
∙
share
read it
