87 citations
- Nantes UniversitéFR5 papers
- InsermFR4 papers
- Laboratoire des Sciences du Numérique de NantesFR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Université de NantesFR2 papers
- Université Paris CitéFR2 papers
- Centre de Recherche Épidémiologie et StatistiqueFR1 paper
- Centre d'Investigation Clinique de NantesFR1 paper
- Centre Hospitalier Universitaire de NantesFR1 paper
- École Centrale de NantesFR1 paper
- Fundación Instituto Valenciano de OncologíaES1 paper
- HM HospitalesES1 paper
7 papers
A novel unsupervised machine learning strategy to handle multimodal cardiac PET/MRI data
Brunnhilde Ponsi, Thomas Carlier, Lara Marteau +5
Arrhythmogenic left ventricular cardiomyopathy is a genetic myocardial disease difficult to diagnose due to the lack of gold standard criteria. Simultaneous PET/MR imaging, combine…
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images
Oriane Thiery, Mira Rizkallah, Clément Bailly +6
Diffuse Large B-cell Lymphoma (DLBCL) is a lymphatic cancer involving one or more lymph nodes and extranodal sites. Its diagnostic and follow-up rely on Positron Emission Tomograph…
Reconstruction multiclasse pour l'imagerie TEP 3-photons
Mehdi Latif, Jérôme Idier, Thomas Carlier +1
This contribution addresses the problem of image reconstruction of radioactivity distribution for which the available information arises from several classes of data, each associat…
Deformable image registration with deep network priors: a study on longitudinal PET images
Constance Fourcade, Ludovic Ferrer, Noemie Moreau +10
Longitudinal image registration is challenging and has not yet benefited from major performance improvements thanks to deep-learning. Inspired by Deep Image Prior, this paper intro…
Universal scaling laws rule explosive growth inhuman cancers
Víctor M. Pérez-García, Gabriel F. Calvo, Jesús J. Bosque +24
Most physical and other natural systems are complex entities composed of a large number of interacting individual elements. It is a surprising fact that they often obey the so-call…
Treatment-induced shrinking of tumour aggregates: A nonlinear volume-filling chemotactic approach
Luis Almeida, Gissell Estrada-Rodriguez, Lisa Oliver +3
Motivated by experimental observations in 3D/organoid cultures derived from glioblastoma, we develop a mathematical model where tumour aggregate formation is obtained as the result…