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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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07/09/2021
Cross-modal Attention for MRI and Ultrasound Volume Registration
Prostate cancer biopsy benefits from accurate fusion of transrectal ultr...
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05/20/2021
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
Radiologists usually observe anatomical regions of chest X-ray images as...
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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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02/05/2021
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
Gait is a unique biometric feature that can be recognized at a distance;...
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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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08/16/2020
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography
The high risk population of cardiovascular disease (CVD) is simultaneous...
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07/20/2020
Integrative Analysis for COVID-19 Patient Outcome Prediction
While image analysis of chest computed tomography (CT) for COVID-19 diag...
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10/15/2019
Towards a Precipitation Bias Corrector against Noise and Maldistribution
With broad applications in various public services like aviation managem...
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11/15/2018