Projects
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Decision Support Model for CRC Screening
This work provides a decision analysis-based approach to personalized CRC screening, supporting decisions concerning whether and which screening method to consider and/or whether a colonoscopy should be administered.
Colorectal Cancer Risk Mapping
A graphical CRC risk mapping tool is developed from a Bayesian network model and used to segment the population into risk subgroups according to variables of interest.
Sjögren Syndrome Deep Learning Project
Classifying ultrasound (US) images of the parotid glands (PGs) and submandibular glands (SMGs) using the OMERACT scale
Deep Image Blending
Deep Image Blending attempts to optimize a Poison blending loss, a style loss anda content loss computed from a VGG pretrained network and then reconstructs the pixels by optimizing a loss function using a LBFGS solver.
Minimax risk classifier with α-losses
We present a series of algorithms for solving supervised classification problems based on decision theory and convex optimization.