3 papers
cs.LG2026
Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study
Rafael Garcia-Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul +20
Federated learning (FL) in healthcare remains challenging, as the overhead of rebuilding governance guarantees for every collaboration stops most projects at the proof-of-concept s…
cs.HC2023
SVRDA: A Web-based Dataset Annotation Tool for Slice-to-Volume Registration
Weixun Luo, Alexandre Triay Bagur, Paul Aljabar +2
Background and Objective: The lack of benchmark datasets has impeded the development of slice-to-volume registration algorithms. Such datasets are difficult to annotate, primarily…
q-bio.QM2022
Estimation of Field Inhomogeneity Map Following Magnitude-Based Ambiguity-Resolved Water-Fat Separation
Alexandre Triay Bagur, Darryl McClymont, Chloe Hutton +6
PURPOSE: To extend magnitude-based PDFF (Proton Density Fat Fraction) and mapping with resolved water-fat ambiguity to calculate field inhomogeneity (field map) using the p…