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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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02/21/2023
Learning Gradually Non-convex Image Priors Using Score Matching
In this paper, we propose a unified framework of denoising score-based m...
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02/16/2023
Explicit Diffusion of Gaussian Mixture Model Based Image Priors
In this work we tackle the problem of estimating the density f_X of a ra...
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03/23/2022
Computed Tomography Reconstruction using Generative Energy-Based Priors
In the past decades, Computed Tomography (CT) has established itself as ...
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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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06/30/2020
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study
Purpose: To investigate feasibility of accelerating prostate diffusion-w...
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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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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
An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration
We investigate a well-known phenomenon of variational approaches in imag...
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04/03/2017