38 citations
- Centre National de la Recherche ScientifiqueFR4 papers
- Université Côte d'AzurFR3 papers
- Cognition Behaviour TechnologyFR2 papers
- Institut du CerveauFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Sorbonne UniversitéFR2 papers
- Assistance Publique – Hôpitaux de ParisFR1 paper
- Bordeaux Population HealthFR1 paper
- CEA Paris-SaclayFR1 paper
- Centre d'Acquisition et de Traitement des ImagesFR1 paper
- Centre de Recherche en Informatique de LensFR1 paper
- Centre d'Investigation Clinique Plurithématique de Bordeaux1 paper
9 papers
Error estimation for numerical approximations of ODEs via composition techniques. Part II: BDF methods
Ahmad Deeb, Denys Dutykh, Maryam Al Zohbi
Integration of Ordinary Differential Equations (ODEs) using Backward Difference formula (BDF) methods with p backward steps achieves order p accuracy if specific conditions are met…
Renal Cell Carcinoma subtyping: learning from multi-resolution localization
Mohamad Mohamad, Francesco Ponzio, Santa Di Cataldo +2
Renal Cell Carcinoma is typically asymptomatic at the early stages for many patients. This leads to a late diagnosis of the tumor, where the curability likelihood is lower, and mak…
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation
Francesco Galati, Daniele Falcetta, Rosa Cortese +4
We present a semi-supervised domain adaptation framework for brain vessel segmentation from different image modalities. Existing state-of-the-art methods focus on a single modality…
An Analysis of LIME for Text Data
Dina Mardaoui, Damien Garreau
Text data are increasingly handled in an automated fashion by machine learning algorithms. But the models handling these data are not always well-understood due to their complexity…
A Deep Learning based Fast Signed Distance Map Generation
Zihao Wang, Clair Vandersteen, Thomas Demarcy +4
Signed distance map (SDM) is a common representation of surfaces in medical image analysis and machine learning. The computational complexity of SDM for 3D parametric shapes is oft…
Neural correlates of episodic memory in the Memento cohort
Stéphane Epelbaum, Vincent Bouteloup, Jean Mangin +22
IntroductionThe free and cued selective reminding test is used to identify memory deficits in mild cognitive impairment and demented patients. It allows assessing three processes:…