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

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed +4

This paper investigates both biomechanical-constrained non-rigid medical image registrations and accurate identifications of material properties for soft tissues, using physics-inf…

eess.IV2024

Semi-weakly-supervised neural network training for medical image registration

Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo +11

For training registration networks, weak supervision from segmented corresponding regions-of-interest (ROIs) have been proven effective for (a) supplementing unsupervised methods,…

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,…