output
20072026
most citedPostural control during quiet standing following cervical muscular fatigue: effects of changes in sensory inputs

135 citations

researchers with a paper here
collaborating institutions

36 papers

q-bio.NC2026

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…

q-bio.NC2025

Neural correlates of perceptual consciousness from within: a narrative review of human intracranial research

Francois Stockart, Alexis Robin, Hal Blumenfeld +6

Despite many years of research, the quest to identify neural correlates of perceptual consciousness (NCC) remains unresolved. One major obstacle lies in methodological limitations:…

physics.med-ph2025★ 2 cited

MR-WAVES: MR Water-diffusion And Vascular Effects Simulations

Thomas Coudert, Maitê Silva Martins Marçal, Aurélien Delphin +7

Accurate MR signal simulation, including microvascular structures and water diffusion, is crucial for MRI techniques like fMRI BOLD modeling and MR vascular Fingerprinting (MRF), w…

cs.CR2025★ 3 cited

Synthetic Data and Health Privacy

Gwénolé Abgrall, Xavier Monnet, Anmol Arora

This Viewpoint discusses generative artificial intelligence and safeguarding privacy by using synthetic data as a substitute for private health data.

physics.med-ph2024★ 5 cited

Relaxometry and contrast-free cerebral microvascular quantification using balanced Steady-State Free Precession MR Fingerprinting

Thomas Coudert, Aurélien Delphin, Antoine Barrier +7

This study proposes a novel, contrast-free Magnetic Resonance Fingerprinting (MRF) method using balanced Steady-State Free Precession (bSSFP) sequences for the quantification of ce…

cs.LG2024

Handling missing values in clinical machine learning: Insights from an expert study

Lena Stempfle, Arthur James, Julie Josse +2

Inherently interpretable machine learning (IML) models offer valuable support for clinical decision-making but face challenges when features contain missing values. Traditional app…