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Deep learning methods for blood flow reconstruction in a vessel with contrast enhanced x-ray computed tomography

International journal for numerical methods in biomedical engineering, 2024-01, Vol.40 (1), p.e3785-e3785

2024

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Regularization Methods for Phase Retrieval and Phase Contrast Tomography

Abstract and Applied Analysis, 2015, Vol.2015 (2015), p.1-11

2015

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Convergence of regularization methods with filter functions for a regularization parameter chosen with GSURE and mildly ill-posed inverse problems

Journal of computational and applied mathematics, 2020-11, Vol.378, p.112938, Article 112938

Sixou, Bruno

2020

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A Review of the Deep Learning Methods for Medical Images Super Resolution Problems

Ingénierie et recherche biomédicale, 2021-04, Vol.42 (2), p.120-133

2021

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Adaptative regularization parameter for Poisson noise with a bilevel approach: application to spectral computerized tomography

Inverse problems in science and engineering, 2021-11, Vol.29 (11), p.1519-1536

Sixou, B.

2021

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Deep Gauss-Newton for phase retrieval

Optics letters, 2023-03, Vol.48 (5), p.1136-1139

2023

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Mixed scale dense convolutional networks for x-ray phase contrast imaging

Applied optics (2004), 2022-04, Vol.61 (10), p.2497

2022

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Nonlinear primal–dual algorithm for the phase and absorption retrieval from a single phase contrast image

Optics letters, 2022-10, Vol.47 (20), p.5389-5392

2022

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Characterization of the drastic increase in molecular mobility of a deformed amorphous polymer

Physical review letters, 2006-11, Vol.97 (20), p.207801-207801, Article 207801

2006

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Comparison of five one-step reconstruction algorithms for spectral CT

Physics in medicine & biology, 2018-11, Vol.63 (23), p.235001-235001

2018

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Deterministic versus stochastic level-set regularization in nonlinear phase contrast tomography

Applied mathematics in science and engineering, 2017-06, Vol.25 (6), p.810-831

Sixou, Bruno

2017

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Convergence of regularization methods with filter functions for a regularization parameter chosen with GSURE

Journal of physics. Conference series, 2020-03, Vol.1476 (1), p.12011

Sixou, B.

2020

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Kullback-Leibler residual and regularization for inverse problems with noisy data and noisy operator

Inverse problems and imaging (Springfield, Mo.), 2019-10, Vol.13 (5), p.1113-1137

2019

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Reconstruction of the complex refractive index in nonlinear phase contrast tomography

Inverse problems in science and engineering, 2015-07, Vol.23 (5), p.901-912

Sixou, Bruno

2015

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Regularization of nonlinear decomposition of spectral x‐ray projection images

Medical physics (Lancaster), 2017-09, Vol.44 (9), p.e174-e187

2017

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POD method for acceleration of blood flow reconstruction in a vessel with contrast enhanced X-ray CT

Computer methods in biomechanics and biomedical engineering., 2023-07, Vol.11 (4), p.1478-1490

2023

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Impact of the training loss in deep learning–based CT reconstruction of bone microarchitecture

Medical physics (Lancaster), 2022-05, Vol.49 (5), p.2952-2964

2022

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Reconstruction of the complex refractive index in nonlinear phase contrast tomography

Applied mathematics in science and engineering, 2015-07, Vol.23 (5), p.901

Sixou, Bruno

2015

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Nonconvex Mixed TV/Cahn–Hilliard Functional for Super-Resolution/Segmentation of 3D Trabecular Bone Images

Journal of mathematical imaging and vision, 2018, p.1-11

2018

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Morozov principle for Kullback-Leibler residual term and Poisson noise

Inverse problems and imaging (Springfield, Mo.), 2018-06, Vol.12 (3), p.607-634

2018

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Contrast enhanced tomographic reconstruction of vascular blood flow based on the Navier-Stokes equation

Applied mathematics in science and engineering, 2020-09, Vol.28 (9), p.1287-1306

2020

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Reconstruction of vascular blood flow in a vessel from tomographic projections

Biomedical physics & engineering express, 2021-10, Vol.7 (6), p.65032

2021

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Nonlinear approaches for the single-distance phase retrieval problem involving regularizations with sparsity constraints

Applied optics (2004), 2013-06, Vol.52 (17), p.3977

2013

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Investigation of Semi-Coupled Dictionary Learning in 3-D Super Resolution HR-pQCT Imaging

IEEE transactions on radiation and plasma medical sciences, 2019-03, Vol.3 (2), p.129-136

2019

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Spectral CT Material Decomposition in the Presence of Poisson Noise: A Kullback–Leibler Approach

Ingénierie et recherche biomédicale, 2017-08, Vol.38 (4), p.214-218

2017

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Deep learning methods for blood flow reconstruction in a vessel with contrast enhanced x-ray computed tomography

Regularization Methods for Phase Retrieval and Phase Contrast Tomography

Convergence of regularization methods with filter functions for a regularization parameter chosen with GSURE and mildly ill-posed inverse problems

A Review of the Deep Learning Methods for Medical Images Super Resolution Problems

Adaptative regularization parameter for Poisson noise with a bilevel approach: application to spectral computerized tomography

Deep Gauss-Newton for phase retrieval

Mixed scale dense convolutional networks for x-ray phase contrast imaging

Nonlinear primal–dual algorithm for the phase and absorption retrieval from a single phase contrast image

Characterization of the drastic increase in molecular mobility of a deformed amorphous polymer

Comparison of five one-step reconstruction algorithms for spectral CT

Deterministic versus stochastic level-set regularization in nonlinear phase contrast tomography

Convergence of regularization methods with filter functions for a regularization parameter chosen with GSURE

Kullback-Leibler residual and regularization for inverse problems with noisy data and noisy operator

Reconstruction of the complex refractive index in nonlinear phase contrast tomography

Regularization of nonlinear decomposition of spectral x‐ray projection images

POD method for acceleration of blood flow reconstruction in a vessel with contrast enhanced X-ray CT

Impact of the training loss in deep learning–based CT reconstruction of bone microarchitecture

Reconstruction of the complex refractive index in nonlinear phase contrast tomography

Nonconvex Mixed TV/Cahn–Hilliard Functional for Super-Resolution/Segmentation of 3D Trabecular Bone Images

Morozov principle for Kullback-Leibler residual term and Poisson noise

Contrast enhanced tomographic reconstruction of vascular blood flow based on the Navier-Stokes equation

Reconstruction of vascular blood flow in a vessel from tomographic projections

Nonlinear approaches for the single-distance phase retrieval problem involving regularizations with sparsity constraints

Investigation of Semi-Coupled Dictionary Learning in 3-D Super Resolution HR-pQCT Imaging

Spectral CT Material Decomposition in the Presence of Poisson Noise: A Kullback–Leibler Approach

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