688 citations
- Centre de Recherche en Mathématiques de la DécisionFR6 papers
- Institut Montpelliérain Alexander GrothendieckFR6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Université de MontpellierFR5 papers
- Université Paris Dauphine-PSLFR5 papers
- Agropolis InternationalFR3 papers
- Centre de Recherche en Économie et StatistiqueFR3 papers
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR3 papers
- Université Montpellier 23 papers
- Centre Hospitalier Universitaire de MontpellierFR2 papers
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
12 papers
Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14
Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unc…
Deep Learning Pose Estimation for Multi-Label Recognition of Combined Hyperkinetic Movement Disorders
Laura Cif, Diane Demailly, Gabriella A. Horvàth +15
Hyperkinetic movement disorders (HMDs) such as dystonia, tremor, chorea, myoclonus, and tics are disabling motor manifestations across childhood and adulthood. Their fluctuating, i…
Synthetic Data Generation for Classifying Electrophysiological and Morpho-Electrophysiological Neurons from Mouse Visual Cortex
Xavier Vasques, Laura Cif
The accurate classification of neuronal cell types is central to decoding brain function, yet remains hindered by data scarcity and cellular heterogeneity. Here, we benchmarked cla…
Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation
Paul Bastide, Arnaud Estoup, Jean-Michel Marin +1
The marginal likelihood, or evidence, plays a central role in Bayesian model selection, yet remains notoriously challenging to compute in likelihood-free settings. While Simulation…
Goodness of Fit for Bayesian Generative Models with Applications in Population Genetics
Guillaume Le Mailloux, Paul Bastide, Jean-Michel Marin +1
In population genetics and other application fields, models with intractable likelihood are common. Approximate Bayesian Computation (ABC) or more generally Simulation-Based Infere…
Inner ear morphology in wild versus laboratory house mice
Sabrina Renaud, Léa Amar, Pascale Chevret +4
The semicircular canals of the inner ear are involved in balance and velocity control. Being crucial to ensure efficient mobility, their morphology exhibits an evolutionary conserv…