938 citations
- University of LausanneCH38 papers
- École Polytechnique Fédérale de LausanneCH36 papers
- Centre Hospitalier Universitaire VaudoisCH11 papers
- Medical University of ViennaAT8 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- King's College LondonGB7 papers
- Siemens (Switzerland)CH7 papers
- University Children's Hospital ZurichCH7 papers
- University of ZurichCH7 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS6 papers
- Harvard UniversityUS6 papers
- Hospital Sant Joan de Déu BarcelonaES5 papers
66 papers
Product-of-Gaussian-Mixture Diffusion Models for Joint Nonlinear MRI Reconstruction
Laurenz Nagler, Martin Zach, Thomas Pock
Recently, diffusion models have attracted considerable attention for magnetic resonance image reconstruction due to their high sample quality. However, most existing methods rely o…
Segmenting infant brains across magnetic fields: Domain randomization and annotation curation in ultra-low field MRI
Vladyslav Zalevskyi, Dondu-Busra Bulut, Thomas Sanchez +1
Early identification of neurodevelopmental disorders relies on accurate segmentation of brain structures in infancy, a task complicated by rapid brain growth, poor tissue contrast,…
Enhancing Corpus Callosum Segmentation in Fetal MRI via Pathology-Informed Domain Randomization
Marina Grifell i Plana, Vladyslav Zalevskyi, Léa Schmidt +6
Accurate fetal brain segmentation is crucial for extracting biomarkers and assessing neurodevelopment, especially in conditions such as corpus callosum dysgenesis (CCD), which can…
Sensitivity-Aware Density Estimation in Multiple Dimensions
Aleix Boquet-Pujadas, Pol del Aguila Pla, Michael Unser
We formulate an optimization problem to estimate probability densities in the context of multidimensional problems that are sampled with uneven probability. It considers detector s…
Tomography for Plasma Imaging: a Unifying Framework for Bayesian Inference
D. Hamm, C. Theiler, M. Simeoni +4
Plasma diagnostics often employ computerized tomography to estimate emissivity profiles from a finite, and often limited, number of line-integrated measurements. Decades of algorit…
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67
Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…