142 citations · 1k across the 43 of their papers we have counts for
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Learning to Downsample for Segmentation of Ultra-High Resolution Images
Chen Jin, Ryutaro Tanno, Thomy Mertzanidou +2
Many computer vision systems require low-cost segmentation algorithms based on deep learning, either because of the enormous size of input images or limited computational budget. C…
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms
Loic Peter, Daniel C. Alexander, Caroline Magnain +1
Landmark correspondences are a widely used type of gold standard in image registration. However, the manual placement of corresponding points is subject to high inter-user variabil…
Learning to Address Intra-segment Misclassification in Retinal Imaging
Yukun Zhou, Moucheng Xu, Yipeng Hu +4
Accurate multi-class segmentation is a long-standing challenge in medical imaging, especially in scenarios where classes share strong similarity. Segmenting retinal blood vessels i…
Impact of within-voxel heterogeneity in fibre geometry on spherical deconvolution
Ross Callaghan, Daniel C. Alexander, Marco Palombo +1
Axons in white matter have been shown to have varying geometries within a bundle using ex vivo imaging techniques, but what does this mean for diffusion MRI (dMRI) based spherical…