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01/23/2021
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer
Graphical models are commonly used to discover associations within gene ...
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05/22/2020
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation
The global pandemic of COVID-19 has infected millions of people since it...
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04/26/2020
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports
Chest X-Ray (CXR) images are commonly used for clinical screening and di...
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05/28/2019
Adversarial Domain Adaptation Being Aware of Class Relationships
Adversarial training is a useful approach to promote the learning of tra...
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07/29/2018
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images
Convolutional neural networks have led to significant breakthroughs in t...
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07/10/2018