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
7 papers · 1 filter
WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging
Paul Weiser, Georg Langs, Stanislav Motyka +5
Purpose. Proton Magnetic Resonance Spectroscopic Imaging (1H-MRSI) provides non-invasive spectral-spatial mapping of metabolism. However, long-standing problems in whole-brain 1H-M…
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis
Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza +8
Uncertainty quantification (UQ) has become critical for evaluating the reliability of artificial intelligence systems, especially in medical image segmentation. This study addresse…
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…
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…
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
Hélène Lajous, Tom Hilbert, Christopher W. Roy +12
Relaxometry studies in preterm and at-term newborns have provided insight into brain microstructure, thus opening new avenues for studying normal brain development and supporting d…
Free-running SIMilarity-Based Angiography (SIMBA) for simplified anatomical MR imaging of the heart
John Heerfordt, Kevin K. Whitehead, Jessica A. M. Bastiaansen +7
Purpose: Whole-heart MRA techniques typically target pre-determined motion states and address cardiac and respiratory dynamics independently. We propose a novel fast reconstruction…