92 citations
- University of LausanneCH9 papers
- Centre d'Imagerie BioMedicaleCH7 papers
- École Polytechnique Fédérale de LausanneCH6 papers
- Centre Hospitalier Universitaire VaudoisCH4 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
- Harvard UniversityUS2 papers
- HES-SO University of Applied Sciences and Arts Western SwitzerlandCH2 papers
- Massachusetts General HospitalUS2 papers
- Medical University of ViennaAT2 papers
- New York UniversityUS2 papers
- Technische Universität DarmstadtDE2 papers
- University Hospital of BaselCH2 papers
Showing 2023Show all
3 papers · 1 filter
eess.IV2023★ 3 cited
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency
Nataliia Molchanova, Bénédicte Maréchal, Jean-Philippe Thiran +3
With the rise of open data, identifiability of individuals based on 3D renderings obtained from routine structural magnetic resonance imaging (MRI) scans of the head has become a g…
physics.med-ph2023
ECCENTRIC: a fast and unrestrained approach for high-resolution in vivo metabolic imaging at ultra-high field MR
Antoine Klauser, Bernhard Strasser, Wolfgang Bogner +5
A novel method for fast and high-resolution metabolic imaging, called ECcentric Circle ENcoding TRajectorIes for Compressed sensing (ECCENTRIC), has been developed and implemented…
eess.IV2023★ 6 cited
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
Francesco Santini, Jakob Wasserthal, Abramo Agosti +11
Purpose: To present and evaluate Dafne (deep anatomical federated network), a freely available decentralized, collaborative deep learning system for the semantic segmentation of ra…