
Equivariant Imaging: Learning Beyond the Range Space
In various imaging problems, we only have access to compressed measureme...
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COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
Computeraided breast cancer diagnosis in mammography is a challenging p...
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Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography
Deep convolutional neural networks (CNNs) have emerged as a new paradigm...
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DeepMP for NonNegative Sparse Decomposition
Nonnegative signals form an important class of sparse signals. Many alg...
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Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Consistency of the predictions with respect to the physical forward mode...
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(l1,l2)RIP and Projected BackProjection Reconstruction for PhaseOnly Measurements
This letter analyzes the performances of a simple reconstruction method,...
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Deep Decomposition Learning for Inverse Imaging Problems
Deep learning is emerging as a new paradigm for solving inverse imaging ...
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Compressive Learning for SemiParametric Models
In the compressive learning theory, instead of solving a statistical lea...
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Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis
Computeraided breast cancer diagnosis in mammography is limited by inad...
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A Deep DUALPATH Network for Improved Mammogram Image Processing
We present, for the first time, a novel deep neural network architecture...
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Analysis vs Synthesis with Structure  An Investigation of Union of Subspace Models on Graphs
We consider the problem of characterizing the `duality gap' between spar...
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Analysis vs Synthesis  An Investigation of (Co)sparse Signal Models on Graphs
In this work, we present a theoretical study of signals with sparse repr...
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Balanced multishot EPI for accelerated Cartesian MRF: An alternative to spiral MRF
The main purpose of this study is to show that a highly accelerated Cart...
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CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery
Current proposed solutions for the high dimensionality of the MRF recons...
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A deep learning approach for Magnetic Resonance Fingerprinting
Current popular methods for Magnetic Resonance Fingerprint (MRF) recover...
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Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine
We investigate the potential of a restricted Boltzmann Machine (RBM) for...
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Direct Estimation of Pharmacokinetic Parameters from DCEMRI using Deep CNN with Forward Physical Model Loss
Dynamic contrastenhanced (DCE) MRI is an evolving imaging technique tha...
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Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing
Bayesian approximate message passing (BAMP) is an efficient method in co...
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Cover Tree Compressed Sensing for Fast MR Fingerprint Recovery
We adopt data structure in the form of cover trees and iteratively apply...
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Sample Distortion for Compressed Imaging
We propose the notion of a sample distortion (SD) function for independe...
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Mike E. Davies
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