Search Results for author: David E. Newby

Found 3 papers, 2 papers with code

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces

1 code implementation7 Apr 2022 Simon Dahan, Hao Xu, Logan Z. J. Williams, Abdulah Fawaz, Chunhui Yang, Timothy S. Coalson, Michelle C. Williams, David E. Newby, A. David Edwards, Matthew F. Glasser, Alistair A. Young, Daniel Rueckert, Emma C. Robinson

Results suggest that Surface Vision Transformers (SiT) demonstrate consistent improvement over geometric deep learning methods for brain age and fluid intelligence prediction and achieve comparable performance on calcium score classification to standard metrics used in clinical practice.

Classification Data Augmentation

Whole Heart Anatomical Refinement from CCTA using Extrapolation and Parcellation

no code implementations18 Nov 2021 Hao Xu, Steven A. Niederer, Steven E. Williams, David E. Newby, Michelle C. Williams, Alistair A. Young

In addition to the new labels, the median Dice scores were improved for all the initial 6 labels to be above 95% in the 10-label segmentation, e. g. from 91% to 97% for the left atrium body and from 92% to 96% for the right ventricle.

Anatomy Segmentation

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