Browsing by Subject "transfer learning"
Now showing items 1-3 of 3
-
Building a patient-specific model using transfer learning for 4D-CBCT augmentation
(2020)Purpose: Four-dimensional cone beam computed tomography (4D-CBCT) has been developed to provide respiratory phase‐resolved volumetric images in aid of image guided radiation therapy (IGRT), especially in SBRT, which requires ... -
Learning to Transfer Knowledge from Multiple Sources of Electrophysiological Signals
(2020)Deep learning methods have shown unparalleled performance when trained on vast amounts of diverse labeled training data, often collected at great cost. In many contexts, we have lots of labeled examples but only ... -
Modeling and Methodological Advances in Causal Inference
(2021)This thesis presents several novel modeling or methodological advancements to causal inference. First, we investigate the use of propensity score weighting in the randomized trials for covariate adjustment. We introduce ...
