4 citations · 6 across the 8 of their papers we have counts for
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cs.CV2024★ 1 cited
Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation
Junming Su, Zhiqiang Shen, Peng Cao +2
The existing barely-supervised medical image segmentation (BSS) methods, adopting a registration-segmentation paradigm, aim to learn from data with very few annotations to mitigate…
cs.CV2024★ 4 cited
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen, Peng Cao, Junming Su +2
Mix-up is a key technique for consistency regularization-based semi-supervised learning methods, blending two or more images to generate strong-perturbed samples for strong-weak ps…
cs.CV2024★ 1 cited
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation Perspective
Zhiqiang Shen, Peng Cao, Junming Su +2
This paper investigates an extremely challenging problem: barely-supervised volumetric medical image segmentation (BSS). A BSS training dataset consists of two parts: 1) a barely-a…