output
20172024
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

15 papers

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.LG202390 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.NC202284 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.NC202222 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.IV20214 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,…