no code implementations • 21 Aug 2024 • Dewmini Hasara Wickremasinghe, Yiyang Xu, Esther Puyol-Antón, Paul Aljabar, Reza Razavi, Andrew P. King
Using a database comprising scan-rescan cine CMR data acquired from 92 subjects, we compare the performance of these two methods against ground truth (GT) segmentations and DL segmentations obtained before interpolation (baseline).
1 code implementation • 27 Nov 2023 • Weixun Luo, Alexandre Triay Bagur, Paul Aljabar, George Ralli, Sir Michael Brady
Conclusions: SVRDA can facilitate collaborative annotation of benchmark datasets while being potentially applicable to other pipelines incorporating slice-to-volume registration.
no code implementations • 17 Jun 2022 • Alexandre Triay Bagur, Darryl McClymont, Chloe Hutton, Andrea Borghetto, Michael L Gyngell, Paul Aljabar, Matthew D Robson, Michael Brady, Daniel P Bulte
Bland-Altman was used to compare PDFF and field maps from our method against a reference complex-based method on 152 UK Biobank subjects (1. 5 T Siemens).
no code implementations • 29 Apr 2016 • Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
Multi-atlas segmentation is a widely used tool in medical image analysis, providing robust and accurate results by learning from annotated atlas datasets.