4 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Laboratoire Traitement et Communication de l’InformationFR2 papers
- Analyse, Géométrie et ModélisationFR1 paper
- Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fieldsFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Cognitive Neuroimaging LabFR1 paper
- École Normale Supérieure de LyonFR1 paper
- École PolytechniqueFR1 paper
- Institut de Mathématiques de ToulouseFR1 paper
- Institut Polytechnique de ParisFR1 paper
- Laboratoire d’Analyse et de Mathématiques AppliquéesFR1 paper
- Laboratoire de Physique de l'ENS de LyonFR1 paper
- Lear (Spain)ES1 paper
10 papers
DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction
Qiaoxin Li, Caini Pan, Pierre-Antoine Comby +2
Accelerated acquisition of fMRI enables enhanced detection of neurovascular (BOLD) activity in the brain, but image reconstruction becomes challenging with high k-space undersampli…
Combining Cartesian and non-Cartesian acceleration techniques with SPARKLING for 1mm isotropic whole-brain MPRAGE in a minute
Chaithya Giliyar Radhakrishna, Aurélien Massire, Blanche Bapst +2
Purpose: T1-weighted MPRAGE remains a cornerstone of clinical anatomical imaging, yet its long acquisition times constrain routine use. Established acceleration techniques, namely…
How and why does deep ensemble coupled with transfer learning increase performance in bipolar disorder and schizophrenia classification?
Sara Petiton, Antoine Grigis, Benoit Dufumier +1
Transfer learning (TL) and deep ensemble learning (DE) have recently been shown to outperform simple machine learning in classifying psychiatric disorders. However, there is still…
Protein aggregation in Huntington's disease
Guylaine Hoffner, Philippe Djian
The presence of an expanded polyglutamine produces a toxic gain of function in huntingtin. Protein aggregation resulting from this gain of function is likely to be the cause of neu…
Multifractal analysis based on the weak scaling exponent and applications to MEG recordings in neuroscience
Patrice Abry, Phipippe Ciuciu, Merlin Dumeur +2
We develop the mathematical properties of a multifractal analysis of data based on the weak scaling exponent. The advantage of this analysis is that it does not require any a prior…
Double InfoGAN for Contrastive Analysis
Florence Carton, Robin Louiset, Pietro Gori
Contrastive Analysis (CA) deals with the discovery of what is common and what is distinctive of a target domain compared to a background one. This is of great interest in many appl…
Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging
Chaithya G R, Pierre Weiss, Guillaume Daval-Frérot +3
The Spreading Projection Algorithm for Rapid K-space samplING, or SPARKLING, is an optimization-driven method that has been recently introduced for accelerated 2D T2*-w MRI using c…
Is good old GRAPPA dead?
Zaccharie Ramzi, Alexandre Vignaud, Jean-Luc Starck +1
We perform a qualitative analysis of performance of XPDNet, a state-of-the-art deep learning approach for MRI reconstruction, compared to GRAPPA, a classical approach. We do this i…
A Lightweight Neural Model for Biomedical Entity Linking
Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek
Biomedical entity linking aims to map biomedical mentions, such as diseases and drugs, to standard entities in a given knowledge base. The specific challenge in this context is tha…
Subsampled online matrix factorization with convergence guarantees
Arthur Mensch, Julien Mairal, Gaël Varoquaux +1
We present a matrix factorization algorithm that scales to input matrices that are large in both dimensions (i.e., that contains morethan 1TB of data). The algorithm streams the ma…