most citedLearning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023

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…

cs.CV2022★ 2 cited

Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection

Rebeca Vétil, Clément Abi Nader, Alexandre Bône +4

We propose a scalable and data-driven approach to learn shape distributions from large databases of healthy organs. To do so, volumetric segmentation masks are embedded into a comm…