no code implementations • 10 Oct 2023 • Csaba Kozma, Gabrielle Schroeder, Tom Owen, Jane de Tisi, Andrew W. McEvoy, Anna Miserocchi, John Duncan, Yujiang Wang, Peter N. Taylor
Combining periodic and aperiodic abnormalities improved performance, similar to the complete band power approach.
no code implementations • 21 Mar 2023 • Jascha Achterberg, Danyal Akarca, Moataz Assem, Moritz Heimbach, Duncan E. Astle, John Duncan
There is a concerted effort to build domain-general artificial intelligence in the form of universal neural network models with sufficient computational flexibility to solve a wide variety of cognitive tasks but without requiring fine-tuning on individual problem spaces and domains.
1 code implementation • 12 Aug 2020 • Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John Duncan, Keyoumars Ashkan, Rachel Sparks, Sebastien Ourselin
We evaluate how well each CNN model can resolve local fiber orientation 1) when training and testing on datasets with the same dMRI acquisition protocol; 2) when testing on a dataset with a different dMRI acquisition protocol than used to train the CNN models; and 3) when testing on a dataset with a fewer number of gradient directions than used to train the CNN models.