1 citations · 1 across the 2 of their papers we have counts for
4 papers
GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery
Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi +6
We introduce a novel unsupervised approach to reconstructing a 3D volume from only two planar projections that exploits a previous\-ly-captured 3D volume of the patient. Such volum…
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
Théo Estienne, Maria Vakalopoulou, Enzo Battistella +5
Deformable registration consists of finding the best dense correspondence between two different images. Many algorithms have been published, but the clinical application was made d…
Exploring Deep Registration Latent Spaces
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis +8
Explainability of deep neural networks is one of the most challenging and interesting problems in the field. In this study, we investigate the topic focusing on the interpretabilit…
Weakly supervised pan-cancer segmentation tool
Marvin Lerousseau, Marion Classe, Enzo Battistella +8
The vast majority of semantic segmentation approaches rely on pixel-level annotations that are tedious and time consuming to obtain and suffer from significant inter and intra-expe…