24 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université Grenoble AlpesFR12 papers
- InsermFR9 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Centre Hospitalier Universitaire de GrenobleFR6 papers
- Institut polytechnique de GrenobleFR6 papers
- Assistance Publique – Hôpitaux de ParisFR2 papers
- Centre Inria de l'Université Grenoble AlpesFR2 papers
- GIPSA-LabFR2 papers
- Hôpital LariboisièreFR2 papers
- Laboratoire Jean KuntzmannFR2 papers
- Sorbonne UniversitéFR2 papers
- Université Paris CitéFR2 papers
18 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…
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:…
Pyk2 plays a critical role in synaptic dysfunction during the early stages of Alzheimer's disease
Quentin Rodriguez, Floriane Payet, Karina Vargas-Baron +6
Background: The locus of the gene PTK2B encoding the tyrosine kinase Pyk2 has been associated with the risk of late-onset Alzheimer's disease, the predominant form of dementia. Pyk…
Tinnitus, lucid dreaming and awakening. An online survey and theoretical implications
Robin Guillard, Nicolas Dauman, Aurélien Cadix +4
(1) Background: Tinnitus is the perception of phantom sound in the absence of a corresponding external source. Previous studies reported that the presence of tinnitus is notably ab…
Why does tinnitus vary with naps? A polysomnographic prospective study exploring the somatosensory hypothesis
Robin Guillard, Vincent Philippe, Adam Hessas +6
Background: Tinnitus, defined as the conscious awareness of a noise without any identifiable corresponding external acoustic source, can be modulated by various factors. Among thes…
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…
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…
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Henrique Donâncio, Antoine Barrier, Leah F. South +1
In deep Reinforcement Learning (RL), the learning rate critically influences both stability and performance, yet its optimal value shifts during training as the environment and pol…
Early reduced dopaminergic tone mediated by D3 receptor and dopamine transporter in absence epileptogenesis
Fanny Cavarec, Philipp Krauss, Tiffany Witkowski +6
Abstract Objective In Genetic Absence Epilepsy Rats From Strasbourg ( GAERS s), epileptogenesis takes place during brain maturation and correlates with increased mRNA expression of…
Ultrathin, flexible and MRI-compatible microelectrode array for chronic single units recording within subcortical layers
Scott Greenhorn, Véronique Coizet, Victor Dupuit +7
Current techniques of neuroimaging, including electrical devices, are either of low spatiotemporal resolution or invasive, impeding multiscale monitoring of brain activity at both…
Constraints on metastable superheavy dark matter coupled to sterile neutrinos with the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +368
Dark matter particles could be superheavy, provided their lifetime is much longer than the age of the universe. Using the sensitivity of the Pierre Auger Observatory to ultra-high…
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification
Benjamin Lambert, Pauline Roca, Florence Forbes +2
The burden of liver tumors is important, ranking as the fourth leading cause of cancer mortality. In case of hepatocellular carcinoma (HCC), the delineation of liver and tumor on c…
Multi-layer Aggregation as a key to feature-based OOD detection
Benjamin Lambert, Florence Forbes, Senan Doyle +1
Deep Learning models are easily disturbed by variations in the input images that were not observed during the training stage, resulting in unpredictable predictions. Detecting such…
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images
Benjamin Lambert, Florence Forbes, Senan Doyle +1
The volume of a brain lesion (e.g. infarct or tumor) is a powerful indicator of patient prognosis and can be used to guide the therapeutic strategy. Lesional volume estimation is u…
Utilizing synthetic training data for the supervised classification of rat ultrasonic vocalizations
K. Jack Scott, Lucinda J. Speers, David K. Bilkey
Murine rodents generate ultrasonic vocalizations (USVs) with frequencies that extend to around 120kHz. These calls are important in social behaviour, and so their analysis can prov…
Nodal statistics-based equivalence relation for graph collections
Lucrezia Carboni, Michel Dojat, Sophie Achard
Node role explainability in complex networks is very difficult, yet is crucial in different application domains such as social science, neurosciences or computer science. Many effo…
Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients
Verónica Muñoz-Ramírez, Nicolas Pinon, Florence Forbes +2
Although neural networks have proven very successful in a number of medical image analysis applications, their use remains difficult when targeting subtle tasks such as the identif…
Neural parameters estimation for brain tumor growth modeling
Ivan Ezhov, Jana Lipkova, Suprosanna Shit +5
Understanding the dynamics of brain tumor progression is essential for optimal treatment planning. Cast in a mathematical formulation, it is typically viewed as evaluation of a sys…