Search Results for author: Aysha Luis

Found 2 papers, 0 papers with code

Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021

no code implementations15 Apr 2021 Thomas Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sebastien Ourselin, Marc Modat

The small numbers of patient included in studies, the high risk of bias and concerns of applicability in the study designs (particularly in relation to the reference standard and patient selection due to confounding), and the low level of evidence, suggest that limited conclusions can be drawn from the data.

BIG-bench Machine Learning Specificity

Machine learning and glioma imaging biomarkers

no code implementations28 Aug 2019 Thomas Booth, Matthew Williams, Aysha Luis, Jorge Cardoso, Ashkan Keyoumars, Haris Shuaib

Differentiating a treatment response from a post-treatment-related effect using imaging is clinically important and also an area of active study (described here in one of two Special Issue publications dedicated to the application of ML in glioma imaging).

BIG-bench Machine Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.