390 citations · 596 across the 11 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 4 cited
NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification
David Wood, James Cole, Thomas Booth
Deep learning is attracting significant interest in the neuroimaging community as a means to diagnose psychiatric and neurological disorders from structural magnetic resonance imag…
q-bio.QM2019★ 1 cited
An Update on Machine Learning in Neuro-oncology Diagnostics
Thomas Booth
Imaging biomarkers in neuro-oncology are used for diagnosis, prognosis and treatment response monitoring. Magnetic resonance imaging is typically used throughout the patient pathwa…
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…