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
3 papers · 1 filter
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…