Aysha Luis

According to our database, Aysha Luis authored at least 3 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium.

Haris Shuaib, Gareth J. Barker, Peter Sasieni, Enrico De Vita, Alysha Chelliah, Roman Andrei, Keyoumars Ashkan, Erica Beaumont, Lucy Brazil, Chris Rowland-Hill, Yue Hui Lau, Aysha Luis, James Powell, Angela Swampillai, Sean Tenant, Stefanie C. Thust, Stephen J. Wastling, Tom Young, Thomas C. Booth

CoRR, 2024

2020

Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021.

Thomas C. Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sébastien Ourselin, Marc Modat

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Machine learning and glioma imaging biomarkers.

Thomas C. Booth, Matthew Williams, Aysha Luis, Manuel Jorge Cardoso, Ashkan Keyoumars, Haris Shuaib

CoRR, 2019