424 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de MontpellierFR8 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Hôpital Gui de ChauliacFR4 papers
- InsermFR4 papers
- Assistance Publique – Hôpitaux de ParisFR2 papers
- Centre de Biologie pour la Gestion des PopulationsFR2 papers
- Fondation de RothschildFR2 papers
- Institut d'Électronique et des SystèmesFR2 papers
- Instituto de Salud Carlos IIIES2 papers
- Sorbonne UniversitéFR2 papers
- Stanford UniversityUS2 papers
- Université Paris-SaclayFR2 papers
14 papers
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…
KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation
L Cif, D Demailly, JP Lin +112
Heterozygous mutations in KMT2B are associated with an early-onset, progressive, and often complex dystonia (DYT28). Key characteristics of typical disease include focal motor feat…
Shapes of direct cortical responses vs. short-range axono-cortical evoked potentials: The effects of direct electrical stimulation applied to the human brain
Clotilde Turpin, Olivier Rossel, Félix Schlosser-Perrin +5
Objective: Direct cortical responses (DCR) and axono-cortical evoked potentials (ACEP) are generated by electrically stimulating the cortex either directly or indirectly through wh…
Nebula: Efficient, Private and Accurate Histogram Estimation
Ali Shahin Shamsabadi, Peter Snyder, Ralph Giles +2
We present \textit{Nebula}, a system for differentially private histogram estimation on data distributed among clients. \textit{Nebula} allows clients to independently decide wheth…
Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears
Louise Guillon, Soheib Biga, Axel Puyo +9
Malaria remains a significant global health challenge, necessitating rapid and accurate diagnostic methods. While computer-aided diagnosis (CAD) tools utilizing deep learning have…
ERIOS: Co-construction of a Dynamic Temporal Visualization Tool in the Electronic Health Record
Louise Robert, Quentin Luzurier, Anaïs Velcker +3
ERIOS, is a collaborative project between Dedalus, a health software company, Montpellier University Hospital Center (CHU), and the University of Montpellier. This initiative aims…
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study
Patrick Saux, Pierre Bauvin, Violeta Raverdy +31
Background Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develo…
Deep Sequential Models for Suicidal Ideation from Multiple Source Data
Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela +4
This article presents a novel method for predicting suicidal ideation from Electronic Health Records (EHR) and Ecological Momentary Assessment (EMA) data using deep sequential mode…
Population pharmacokinetics of levobupivacaine during a transversus abdominis plane block in children
Marc Vincent, Olivier Mathieu, Patrick Nolain +2
BACKGROUND:Levobupivacaine is commonly used during transversus abdominis plane block in pediatric patients. However, the dosing regimen is still empirical, and the pharmacokinetic…
Molecular-beam epitaxy of GaSb on 6{\textdegree}-offcut (001) Si using a GaAs nucleation layer
M. Rio Calvo, J-B Rodriguez, L. Cerutti +3
We studied and optimized the molecular beam epitaxy of GaSb layers on vicinal (001) Si substrates using a GaAs nucleation layer. An in-depth analysis of the different growth stages…
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning
Nils Gessert, Markus Heyder, Sarah Latus +2
Advanced atherosclerosis in the coronary arteries is one of the leading causes of deaths worldwide while being preventable and treatable. In order to image atherosclerotic lesions…
GOODS-ALMA: 1.1 mm galaxy survey - I. Source catalogue and optically dark galaxies
M. Franco, D. Elbaz, M. Béthermin +36
We present a 69 arcmin ALMA survey at 1.1mm, GOODS-ALMA, matching the deepest HST-WFC3 H-band part of the GOODS-South field. We taper the 0"24 original image with a homogeneous…
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen, Alexander N. Olesen, Mads Olsen +27
Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy (T1N) currently requires visual inspection of polysomnography records by trained scoring technician…