5 citations · 9 across the 7 of their papers we have counts for
3 papers · 1 filter
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer
Rebeca Vétil, Clément Abi-Nader, Alexandre Bône +4
We address the problem of learning Deep Learning Radiomics (DLR) that are not redundant with Hand-Crafted Radiomics (HCR). To do so, we extract DLR features using a VAE while enfor…
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
Giammarco La Barbera, Haithem Boussaid, Francesco Maso +4
Anatomical structures such as blood vessels in contrast-enhanced CT (ceCT) images can be challenging to segment due to the variability in contrast medium diffusion. The combined us…
A deep residual learning implementation of Metamorphosis
Matthis Maillard, Anton François, Joan Glaunès +2
In medical imaging, most of the image registration methods implicitly assume a one-to-one correspondence between the source and target images (i.e., diffeomorphism). However, this…