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08/16/2023
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach
The eikonal equation has become an indispensable tool for modeling cardi...
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06/26/2023
Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs
Today Gadolinium-based contrast agents (GBCA) are indispensable in Magne...
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03/16/2023
Learned Discretization Schemes for the Second-Order Total Generalized Variation
The total generalized variation extends the total variation by incorpora...
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02/19/2021
GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models
The personalization of cardiac models is the cornerstone of patient-spec...
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02/12/2021
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
Recent deep learning approaches focus on improving quantitative scores o...
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11/12/2020
Shared Prior Learning of Energy-Based Models for Image Reconstruction
We propose a novel learning-based framework for image reconstruction par...
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06/15/2020
Total Deep Variation: A Stable Regularizer for Inverse Problems
Various problems in computer vision and medical imaging can be cast as i...
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01/14/2020
Total Deep Variation for Linear Inverse Problems
Diverse inverse problems in imaging can be cast as variational problems ...
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12/16/2019
Consistent Curvature Approximation on Riemannian Shape Spaces
We describe how to approximate the Riemann curvature tensor as well as s...
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10/28/2019
Image Morphing in Deep Feature Spaces: Theory and Applications
This paper combines image metamorphosis with deep features. To this end,...
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07/19/2019