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11/06/2020
Towards a quantitative assessment of neurodegeneration in Alzheimer's disease
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder t...
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09/12/2019
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI
Magnetic Resonance Imaging (MRI) has long been considered to be among "t...
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05/22/2019
Self-supervised learning of inverse problem solvers in medical imaging
In the past few years, deep learning-based methods have demonstrated eno...
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05/22/2019
Learning Fast Magnetic Resonance Imaging
Magnetic Resonance Imaging (MRI) is considered today the golden-standard...
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12/19/2018
Learning beamforming in ultrasound imaging
Medical ultrasound (US) is a widespread imaging modality owing its popul...
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08/23/2018
High frame-rate cardiac ultrasound imaging with deep learning
Cardiac ultrasound imaging requires a high frame rate in order to captur...
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08/23/2018
High quality ultrasonic multi-line transmission through deep learning
Frame rate is a crucial consideration in cardiac ultrasound imaging and ...
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06/14/2010
Image Segmentation Using Weak Shape Priors
The problem of image segmentation is known to become particularly challe...
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04/08/2010
Regularized Richardson-Lucy Algorithm for Sparse Reconstruction of Poissonian Images
Restoration of digital images from their degraded measurements has alway...
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10/26/2009
An Iterative Shrinkage Approach to Total-Variation Image Restoration
The problem of restoration of digital images from their degraded measure...
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09/29/2009