output
20172025
most citedDevelopment and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study

90 citations

19 papers

cs.LG2025

Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction

Vincent Roca, Marc Tommasi, Paul Andrey +8

Brain-predicted age difference (BrainAGE) is a neuroimaging biomarker reflecting brain health. However, training robust BrainAGE models requires large dataset…

math.ST2024

Sparse Factor Analysis for Categorical Data with the Group-Sparse Generalized Singular Value Decomposition

Ju-Chi Yu, Julie Le Borgne, Anjali Krishnan +5

Correspondence analysis, multiple correspondence analysis and their discriminant counterparts (i.e., discriminant simple correspondence analysis and discriminant multiple correspon…

q-bio.TO2024

A Step Test to Evaluate the Susceptibility to Severe High-Altitude Illness in Field Conditions

Eric Hermand, Léo Lesaint, Laura Denis +2

A laboratory-based hypoxic exercise test, performed on a cycle ergometer, can be used to predict susceptibility to severe high-altitude illness (SHAI) through the calculation of a…

cs.CV2024★ 17 cited

IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR images

Vincent Roca, Grégory Kuchcinski, Jean-Pierre Pruvo +2

In MRI studies, the aggregation of imaging data from multiple acquisition sites enhances sample size but may introduce site-related variabilities that hinder consistency in subsequ…

cs.LG2023★ 90 cited

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…

q-bio.NC2022★ 84 cited

Motor neuron pathology in CANVAS due to RFC1 expansions

Vincent Huin, Giulia Coarelli, Clément Guemy +22

CANVAS caused by RFC1 biallelic expansions is a major cause of inherited sensory neuronopathy. Detection of RFC1 expansion is challenging and CANVAS can be associated with atypical…

q-bio.NC2022★ 22 cited

Isolated parkinsonism is an atypical presentation of GRN and C9orf72 gene mutations

Fábio Carneiro, Dario Saracino, Vincent Huin +17

Introduction: A phenotype of isolated parkinsonism mimicking Idiopathic Parkinson's Disease (IPD) is a rare clinical presentation of GRN and C9orf72 mutations, the major genetic ca…

eess.IV2021★ 4 cited

3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images

Sungmin Hong, Razvan Marinescu, Adrian V. Dalca +4

Image synthesis via Generative Adversarial Networks (GANs) of three-dimensional (3D) medical images has great potential that can be extended to many medical applications, such as,…

q-bio.GN2021

Reply: Early-onset phenotype of bi-allelic GRN mutations

Vincent Huin, Mathieu Barbier, Alexandra Durr +1

We would like to reply to Neuray et al. who report a series of five new patients from four unrelated families with bi-allelic mutations of GRN. Their work nicely completes the few…

physics.med-ph2020★ 18 cited

18F-FDG-PET dissemination features in diffuse large B cell lymphoma are predictive of outcome

Anne-Ségolène Cottereau, Christophe Nioche, Anne-Sophie Dirand +5

We assessed the predictive value of new radiomic features characterizing the lesion dissemination in baseline 18F-FDG PET and tested whether combining them with baseline metabolic…

q-bio.GN2020★ 71 cited

TMEM240 mutations cause spinocerebellar ataxia 21 with mental retardation and severe cognitive impairment

Jérôme Delplanque, David Devos, Vincent Huin +18

Autosomal dominant cerebellar ataxia corresponds to a clinically and genetically heterogeneous group of neurodegenerative disorders that primarily affect the cerebellum. Here, we r…

q-bio.GN2020★ 27 cited

Expanding the phenotype of SCA19/22: Parkinsonism, cognitive impairment and epilepsy

Vincent Huin, Isabelle Strubi-Vuillaume, Kathy Dujardin +10

BACKGROUND: Spinocerebellar ataxia types 19 and 22 (SCA19/22) are rare conditions in which relatively isolated cerebellar involvement is frequently associated with cognitive impair…

q-bio.GN2020★ 35 cited

The MAPT gene is differentially methylated in the progressive supranuclear palsy brain

Vincent Huin, Vincent Deramecourt, Dominique Caparros-Lefebvre +10

Background: Progressive supranuclear palsy (PSP) is a rare neurodegenerative disease causing parkinsonian symptoms. Altered DNA methylation of the microtubule-associated protein ta…

q-bio.BM2020★ 8 cited

The TMEM240 Protein, Mutated in SCA21, Is Expressed in Purkinje Cells and Synaptic Terminals

Sabiha Eddarkaoui, Mégane Homa, Anne Loyens +6

A variety of missense mutations and a stop mutation in the gene coding for transmembrane protein 240 (TMEM240) have been reported to be the causative mutations of spinocerebellar a…

q-bio.BM2020★ 23 cited

Design Of Drug-Like Protein-Protein Interaction Stabilizers Guided By Chelation-Controlled Bioactive Conformation Stabilization

Francesco Bosica, Sebastian Andrei, João Filipe Neves +5

The protein-protein interactions (PPIs) of 14-3-3 proteins are a model system for studying PPI stabilization. The complex natural product Fusicoccin A stabilizes many 14-3-3 PPIs b…

stat.AP2020★ 5 cited

From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning

Florent Dewez, Benjamin Guedj, Vincent Vandewalle

Aircraft performance models play a key role in airline operations, especially in planning a fuel-efficient flight. In practice, manufacturers provide guidelines which are slightly…

q-bio.QM2020★ 12 cited

Neurogenetics of the Human Adenosine Receptor Genes: Genetic Structures and Involvement in Brain Diseases

Vincent Huin, Claire-Marie Dhaenens, Mégane Homa +3

Adenosine receptors are G-protein-coupled receptors involved in a wide range of physiological and pathological phenomena in most mammalian systems. All four receptors are widely ex…

math.ST2018

k-nearest neighbors prediction and classification for spatial data

Mohamed-Salem Ahmed, Mamadou N'diaye, Mohammed Kadi Attouch +1

This paper proposes a spatial k-nearest neighbor method for nonparametric prediction of real-valued spatial data and supervised classification for categorical spatial data. The pro…

q-bio.CB2017

Increased hepatic PDGF-AA signaling mediates liver insulin resistance in obesity associated type 2 diabetes

Amar Abderrahmani, Loic Yengo, Robert Caiazzo +35

Type 2 diabetes (T2D) is closely linked with non-alcoholic fatty liver disease (NAFLD) and hepatic insulin resistance, but the involved mechanisms are still elusive. Using DNA meth…