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04/15/2023
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
This study investigates barely-supervised medical image segmentation whe...
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10/11/2022
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
ℓ_0 constrained optimization is prevalent in machine learning, particula...
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05/04/2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
The purpose of federated learning is to enable multiple clients to joint...
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11/22/2021
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
This paper presents a simple yet effective two-stage framework for semi-...
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07/21/2021
