We address the problem of learning Deep Learning Radiomics (DLR) that ar...
Early diagnosis of prostate cancer is crucial for efficient treatment.
M...
Contrastive Analysis VAE (CA-VAEs) is a family of Variational auto-encod...
Large medical imaging datasets can be cheaply and quickly annotated with...
Identifying cirrhosis is key to correctly assess the health of the liver...
Building accurate Deep Learning (DL) models for brain age prediction is ...
Many datasets are biased, namely they contain easy-to-learn features tha...
We propose a scalable and data-driven approach to learn shape distributi...
Anatomical structures such as blood vessels in contrast-enhanced CT (ceC...
Current contrastive learning methods use random transformations sampled ...
CNNs are often assumed to be capable of using contextual information abo...
Data augmentation is a crucial component in unsupervised contrastive lea...
Augmented reality applications have rapidly spread across online platfor...
Hair appearance is a complex phenomenon due to hair geometry and how the...
In medical imaging, most of the image registration methods implicitly as...
Contrastive Learning has shown impressive results on natural and medical...
Due to a high heterogeneity in pose and size and to a limited number of
...
We present a new multiscale algorithm for solving regularized Optimal
Tr...
We propose a novel graph clustering method guided by additional informat...
Subtype Discovery consists in finding interpretable and consistent sub-p...
The joint use of multiple imaging modalities for medical image segmentat...
In this paper, we propose an implementation of both Large Deformation
Di...
Traditional supervised learning with deep neural networks requires a
tre...
Deep Learning (DL) and specifically CNN models have become a de facto me...
While makeup virtual-try-on is now widespread, parametrizing a computer
...
Spatial relations between objects in an image have proved useful for
str...
While existing makeup style transfer models perform an image synthesis w...
The extraction of fibers from dMRI data typically produces a large numbe...
Tractograms are mathematical representations of the main paths of axons
...