887 citations
- Centre National de la Recherche ScientifiqueFR81 papers
- Sorbonne UniversitéFR79 papers
- InsermFR75 papers
- Pitié-Salpêtrière HospitalFR52 papers
- Assistance Publique – Hôpitaux de ParisFR43 papers
- Institut national de recherche en sciences et technologies du numériqueFR25 papers
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- ARAMIS: Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain sain et pathologiqueFR17 papers
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8 papers · 1 filter
Multiscale modeling of brain network organization
Charley Presigny, Fabrizio De Vico Fallani
A complete understanding of the brain requires an integrated description of the numerous scales of neural organization. It means studying the interplay of genes, synapses, and even…
Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis
Marius Schmidt-Mengin, Vito A. G. Ricigliano, Benedetta Bodini +6
Choroid plexuses (CP) are structures of the ventricles of the brain which produce most of the cerebrospinal fluid (CSF). Several postmortem and in vivo studies have pointed towards…
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections
Fernando Pérez-García, Reuben Dorent, Michele Rizzi +9
Accurate segmentation of brain resection cavities (RCs) aids in postoperative analysis and determining follow-up treatment. Convolutional neural networks (CNNs) are the state-of-th…
Statistical Genetics in and out of Quasi-Linkage Equilibrium (Extended)
Vito Dichio, Hong-Li Zeng, Erik Aurell
This review is about statistical genetics, an interdisciplinary topic between statistical physics and population biology. The focus is on the phase of quasi-linkage equilibrium (QL…
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos +1
In this paper, we propose a new method to perform data augmentation in a reliable way in the High Dimensional Low Sample Size (HDLSS) setting using a geometry-based variational aut…
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse
Simona Bottani, Ninon Burgos, Aurélien Maire +4
Many studies on machine learning (ML) for computer-aided diagnosis have so far been mostly restricted to high-quality research data. Clinical data warehouses, gathering routine exa…