output
20132025
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing q-bio.QMShow all

2 papers · 1 filter

q-bio.QM2021★ 7 cited

MAGORINO: Magnitude-only fat fraction and R2* estimation with Rician noise modelling

Timothy JP Bray, Alan Bainbridge, Margaret A Hall-Craggs +1

Purpose: Magnitude-based fitting of chemical shift-encoded data enables proton density fat fraction (PDFF) and R2* estimation where complex-based methods fail or when phase data is…

q-bio.QM2019★ 102 cited

Machine learning and glioma imaging biomarkers

Thomas Booth, Matthew Williams, Aysha Luis +3

Aim: To review how machine learning (ML) is applied to imaging biomarkers in neuro-oncology, in particular for diagnosis, prognosis, and treatment response monitoring. Materials an…