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2020 – today
- 2024
[b1]Rebeca Vétil:
Artificial Intelligence Methods to Assist the Diagnosis of Pancreatic Diseases in Radiology. (Méthodes d'Intelligence Artificielle pour l'Aide au Diagnostic des Maladies du Pancréas en Radiologie). Polytechnic Institute of Paris, Palaiseau, France, 2024- 2023
- [c3]Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CaPTion@MICCAI 2023: 68-82 - [i2]Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CoRR abs/2308.11389 (2023) - 2022
- [c2]Rebeca Vétil, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors. ISBI 2022: 1-4 - [c1]Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection. MICCAI (2) 2022: 464-473 - [i1]Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection. CoRR abs/2210.12095 (2022)
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