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09/03/2023
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
Domain shift is a common problem in clinical applications, where the tra...
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12/01/2022
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
Domain generalization (DG) aims to train a model to perform well in unse...
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07/12/2022
Regression Metric Loss: Learning a Semantic Representation Space for Medical Images
Regression plays an essential role in many medical imaging applications ...
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03/25/2021
Task-Oriented Low-Dose CT Image Denoising
The extensive use of medical CT has raised a public concern over the rad...
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11/18/2020
Robustified Domain Adaptation
Unsupervised domain adaptation (UDA) is widely used to transfer a model ...
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07/20/2020