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10/25/2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate
Convolutional neural networks (CNN) have emerged as a powerful tool for ...
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09/30/2020
Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images
Dynamic contrast-enhanced magnetic resonance imaging (DCE- MRI) is a wid...
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08/29/2020
Unsupervised MRI Reconstruction with Generative Adversarial Networks
Deep learning-based image reconstruction methods have achieved promising...
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10/24/2019
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model
Purpose: To rapidly reconstruct undersampled 3D non-Cartesian image-base...
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03/09/2018
Local Kernels that Approximate Bayesian Regularization and Proximal Operators
In this work, we broadly connect kernel-based filtering (e.g. approaches...
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11/29/2017
BLADE: Filter Learning for General Purpose Computational Photography
The Rapid and Accurate Image Super Resolution (RAISR) method of Romano, ...
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09/15/2017