699 citations
- University of CambridgeGB8 papers
- Centre de Recherche en Acquisition et Traitement de l'Image pour la SantéFR2 papers
- Centre Hospitalier Universitaire de Saint-ÉtienneFR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Columbia UniversityUS2 papers
- InsermFR2 papers
- Laboratoire Interuniversitaire de Biologie de la MotricitéFR2 papers
- Lyon 1 UniversitéFR2 papers
- Michigan State UniversityUS2 papers
- Siemens (France)FR2 papers
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- Advanced Telecommunications Research Institute InternationalJP1 paper
11 papers
Interactive Semantic Segmentation for Phosphene Vision Neuroprosthetics
Eleftherios Papadopoulos, Yagmur Güçlütürk
Visual impairments present significant challenges to individuals worldwide, impacting daily activities and quality of life. Visual neuroprosthetics offer a promising solution, leve…
Alteration of skeletal muscle energy metabolism assessed by 31P MRS in clinical routine, part 1: Advanced Quality Control pipeline
Antoine Naëgel, Hélène Ratiney, Jabrane Karkouri +6
Background: Implementing a standardized 31P-MRS dynamic acquisition protocol to evaluate skeletal muscle energy metabolism and monitor muscle fatigability1,2, while being compatibl…
Alteration of skeletal muscle energy metabolism assessed by 31P MRS in clinical routine, part 2: Clinical application
Antoine Naëgel, Hélène Ratiney, Jabrane Karkouri +6
Background: In this second part of a two-part paper, we intend to demonstrate the impact of the previously proposed advanced quality control pipeline. To understand its benefit and…
Vector-valued Spline Method for the Spherical Multiple-shell Electro-magnetoencephalography Problem
Sarah Leweke, Olaf Hauk, Volker Michel
Human brain activity is based on electrochemical processes, which can only be measured invasively. Therefore, quantities such as magnetic flux density (MEG) or electric potential d…
Meta-Analysis of Generalized Additive Models in Neuroimaging Studies
Øystein Sørensen, Andreas M Brandmaier, Dídac Macià +7
Analyzing data from multiple neuroimaging studies has great potential in terms of increasing statistical power, enabling detection of effects of smaller magnitude than would be pos…
Interpretable brain age prediction using linear latent variable models of functional connectivity
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy +6
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we…