research
∙
07/11/2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process
Explainable AI (XAI) is a necessity in safety-critical systems such as i...
share
research
∙
06/23/2021
Continuous-Time Deep Glioma Growth Models
The ability to estimate how a tumor might evolve in the future could hav...
research
∙
06/09/2021
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data
Neural Processes (NPs) are a family of conditional generative models tha...
research
∙
11/15/2020
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI
Cardiac magnetic resonance imaging (cMRI) is an integral part of diagnos...
research
∙
07/09/2019
Deep Probabilistic Modeling of Glioma Growth
Existing approaches to modeling the dynamics of brain tumor growth, spec...
research
∙
04/17/2019
