2.2k citations
- Sorbonne UniversitéFR66 papers
- Centre National de la Recherche ScientifiqueFR57 papers
- Institut du CerveauFR52 papers
- InsermFR51 papers
- Assistance Publique – Hôpitaux de ParisFR49 papers
- Institut des Sciences MoléculairesFR13 papers
- Institut national de recherche en sciences et technologies du numériqueFR10 papers
- Université Pierre-et-Marie-CurieFR10 papers
- Université de LilleFR9 papers
- ARAMIS: Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain sain et pathologiqueFR8 papers
- Translational Innovation in Medicine and ComplexityFR7 papers
- Université Paris CitéFR7 papers
8 papers · 1 filter
Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals
Pascaline André, Charles Heitz, Evangelia Christodoulou +10
Performance uncertainty quantification is essential for reliable validation and eventual clinical translation of medical imaging artificial intelligence (AI). Confidence intervals…
Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement
Francesco Galati, Daniele Falcetta, Rosa Cortese +3
The intricate morphology of brain vessels poses significant challenges for automatic segmentation models, which usually focus on a single imaging modality. However, accurately trea…
Unsupervised anomaly detection using Bayesian flow networks: application to brain FDG PET in the context of Alzheimer's disease
Hugues Roy, Reuben Dorent, Ninon Burgos
Unsupervised anomaly detection (UAD) plays a crucial role in neuroimaging for identifying deviations from healthy subject data and thus facilitating the diagnosis of neurological d…
Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO)
Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna +2
The extraction of consensus segmentations from several binary or probabilistic masks is important to solve various tasks such as the analysis of inter-rater variability or the fusi…
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
Wen Wei, Emilie Poirion, Benedetta Bodini +4
Multiple sclerosis (MS) is a demyelinating disease of the central nervous system (CNS). A reliable measure of the tissue myelin content is therefore essential for the understanding…
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
Emilie Gerardin, Gaël Chételat, Marie Chupin +9
We describe a new method to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and elderly controls, based on multidimensi…