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Learned Primal-Dual Reconstruction

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1322-1332

2018

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Solving ill-posed inverse problems using iterative deep neural networks

Inverse problems, 2017-12, Vol.33 (12), p.124007

2017

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Solving inverse problems using data-driven models

Acta numerica, 2019-05, Vol.28, p.1-174

2019

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Accelerated Forward-Backward Optimization Using Deep Learning

SIAM journal on optimization, 2024-01, Vol.34 (2), p.1236-1263

2024

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Joint Gaussian dictionary learning and tomographic reconstruction

Inverse problems, 2022-10, Vol.38 (10), p.105010

2022

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Image reconstruction through metamorphosis

Inverse problems, 2020, Vol.36 (2), p.25001

2020

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Data-Driven Nonsmooth Optimization

SIAM journal on optimization, 2020-01, Vol.30 (1), p.102-131

2020

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Task adapted reconstruction for inverse problems

Inverse problems, 2022-07, Vol.38 (7), p.75006

2022

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Multi-Scale Learned Iterative Reconstruction

IEEE transactions on computational imaging, 2020, Vol.6, p.843-856

2020

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Indirect Image Registration with Large Diffeomorphic Deformations

SIAM journal on imaging sciences, 2018-01, Vol.11 (1), p.575-617

2018

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Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realm

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2020-11, Vol.476 (2243), p.1-26

2020

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Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction

SIAM journal on imaging sciences, 2022-01, Vol.15 (4), p.1729-1764

2022

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Template-Based Image Reconstruction from Sparse Tomographic Data

Applied mathematics & optimization, 2020-12, Vol.82 (3), p.1081-1109

2020

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An efficient algorithm to compute the X-ray transform

International journal of computer mathematics, 2022-07, Vol.99 (7), p.1325-1343

2022

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Spectral decomposition of atomic structures in heterogeneous cryo-EM

Inverse problems, 2023-03, Vol.39 (3), p.34003

2023

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Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation

Computers in biology and medicine, 2023-09, Vol.163, p.107096-107096, Article 107096

2023

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A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging

SIAM journal on imaging sciences, 2019-01, Vol.12 (4), p.1686-1719

2019

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Joint Image Deconvolution and Separation Using Mixed Dictionaries

IEEE transactions on image processing, 2019-08, Vol.28 (8), p.3936-3945

2019

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Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds

SIAM journal on imaging sciences, 2023-01, Vol.16 (3), p.1440-1490

2023

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3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture

IEEE transactions on computational imaging, 2024, Vol.10, p.1414-1424

2024

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Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination

IUCrJ, 2021-01, Vol.8 (Pt 1), p.60-75

2021

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Super-resolution microscopy can identify specific protein distribution patterns in platelets incubated with cancer cells

Nanoscale, 2019-05, Vol.11 (2), p.123-133

2019

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Tunable Ampere phase plate for low dose imaging of biomolecular complexes

Scientific reports, 2018-04, Vol.8 (1), p.5592-5, Article 5592

2018

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Measuring true localization accuracy in super resolution microscopy with DNA-origami nanostructures

New journal of physics, 2017, Vol.19 (2), p.25013

2017

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Image formation modeling in cryo-electron microscopy

Journal of structural biology, 2013-07, Vol.183 (1), p.19-32

2013

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Learned Primal-Dual Reconstruction

Solving ill-posed inverse problems using iterative deep neural networks

Solving inverse problems using data-driven models

Accelerated Forward-Backward Optimization Using Deep Learning

Joint Gaussian dictionary learning and tomographic reconstruction

Image reconstruction through metamorphosis

Data-Driven Nonsmooth Optimization

Task adapted reconstruction for inverse problems

Multi-Scale Learned Iterative Reconstruction

Indirect Image Registration with Large Diffeomorphic Deformations

Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realm

Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction

Template-Based Image Reconstruction from Sparse Tomographic Data

An efficient algorithm to compute the X-ray transform

Spectral decomposition of atomic structures in heterogeneous cryo-EM

Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation

A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging

Joint Image Deconvolution and Separation Using Mixed Dictionaries

Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds

3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture

Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination

Super-resolution microscopy can identify specific protein distribution patterns in platelets incubated with cancer cells

Tunable Ampere phase plate for low dose imaging of biomolecular complexes

Measuring true localization accuracy in super resolution microscopy with DNA-origami nanostructures

Image formation modeling in cryo-electron microscopy

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