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Article
Open AccessAn interpretable risk prediction model for healthcare with pattern attention
The availability of massive amount of data enables the possibility of clinical predictive tasks. Deep learning methods have achieved promising performance on the tasks. However, most existing methods suffer fr...
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Chapter and Conference Paper
Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture
Pathological diagnosis is the standard for the diagnosis and identification of breast malignancies. Computer-aided diagnosis (CAD) is widely applied in pathological image analysis to help pathologists improvin...
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Chapter and Conference Paper
Spatial Attention Lesion Detection on Automated Breast Ultrasound
Automated Breast Ultrasound (ABUS) is widely applied in breast screening mainly because of its non-invasive, and radiation-free nature, and the high interoperator reproducibility. Due to the complexity and hig...
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Article
A relative similarity based method for interactive patient risk prediction
This paper investigates the patient risk prediction problem in the context of active learning with relative similarities. Active learning has been extensively studied and successfully applied to solve real pro...
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Article
On constrained spectral clustering and its applications
Constrained clustering has been well-studied for algorithms such as K-means and hierarchical clustering. However, how to satisfy many constraints in these algorithmic settings has been shown to be intractable. On...
