activity
20172026
most citedUnsupervised End-to-end Learning for Deformable Medical Image Registration

38 citations · 83 across the 23 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.IV2022★ 3 cited

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

Yiwen Li, Yunguan Fu, Iani Gayo +12

The prowess that makes few-shot learning desirable in medical image analysis is the efficient use of the support image data, which are labelled to classify or segment new classes,…

cs.CV2022★ 15 cited

Cross-Modality Image Registration using a Training-Time Privileged Third Modality

Qianye Yang, David Atkinson, Yunguan Fu +7

In this work, we consider the task of pairwise cross-modality image registration, which may benefit from exploiting additional images available only at training time from an additi…

eess.IV2022★ 2 cited

The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation

Wen Yan, Qianye Yang, Tom Syer +6

Dice similarity coefficient (DSC) and Hausdorff distance (HD) are widely used for evaluating medical image segmentation. They have also been criticised, when reported alone, for th…

eess.IV2022★ 10 cited

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

Shaheer U. Saeed, Wen Yan, Yunguan Fu +9

Image quality assessment (IQA) in medical imaging can be used to ensure that downstream clinical tasks can be reliably performed. Quantifying the impact of an image on the specific…

eess.IV2022

Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning

Yiwen Li, Yunguan Fu, Qianye Yang +6

The ability to adapt medical image segmentation networks for a novel class such as an unseen anatomical or pathological structure, when only a few labelled examples of this class a…