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Noise Suppression With Similarity-Based Self-Supervised Deep Learning

IEEE transactions on medical imaging, 2023-06, Vol.42 (6), p.1590-1602

2023

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Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion

IEEE transactions on biomedical engineering, 2012-12, Vol.59 (12), p.3450-3459

2012

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Total‐body low‐dose CT image denoising using a prior knowledge transfer technique with a contrastive regularization mechanism

Medical physics (Lancaster), 2023-05, Vol.50 (5), p.2971-2984

2023

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A Survey on State-of-the-Art Denoising Techniques for Brain Magnetic Resonance Images

IEEE reviews in biomedical engineering, 2022, Vol.15, p.184-199

2022

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SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding

IEEE transactions on image processing, 2008-04, Vol.17 (4), p.482-492

2008

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Denoising of polychromatic CT images based on their own noise properties

Medical physics (Lancaster), 2016-05, Vol.43 (5), p.2251-2260

2016

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Deep learning on image denoising: An overview

Neural networks, 2020-11, Vol.131, p.251-275

2020

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A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising

IEEE transactions on medical imaging, 2018-04, Vol.37 (4), p.941-954

2018

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Image denoising using deep CNN with batch renormalization

Neural networks, 2020-01, Vol.121, p.461-473

2020

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Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1348-1357

2018

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Bayesian Wavelet-Based Image Denoising Using the Gauss-Hermite Expansion

IEEE transactions on image processing, 2008-10, Vol.17 (10), p.1755-1771

2008

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Patch-Based Near-Optimal Image Denoising

IEEE transactions on image processing, 2012-04, Vol.21 (4), p.1635-1649

2012

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Adaptive nonlocal means filtering based on local noise level for CT denoising

Medical physics (Lancaster), 2014-01, Vol.41 (1), p.011908-n/a

2014

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Sparse Representation for Color Image Restoration

IEEE transactions on image processing, 2008-01, Vol.17 (1), p.53-69

2008

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Content-Noise Complementary Learning for Medical Image Denoising

IEEE transactions on medical imaging, 2022-02, Vol.41 (2), p.407-419

2022

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A Deep Learning-Based Model That Reduces Speed of Sound Aberrations for Improved In Vivo Photoacoustic Imaging

IEEE transactions on image processing, 2021, Vol.30, p.8773-8784

2021

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Self-organized operational neural networks for severe image restoration problems

Neural networks, 2021-03, Vol.135, p.201-211

2021

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Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content

IEEE transactions on image processing, 2010-12, Vol.19 (12), p.3116-3132

2010

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Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks

IEEE transactions on medical imaging, 2021-09, Vol.40 (9), p.2295-2305

2021

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Medical image processing on the GPU – Past, present and future

Medical image analysis, 2013-12, Vol.17 (8), p.1073-1094

2013

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Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction

IEEE transactions on medical imaging, 2017-07, Vol.36 (7), p.1533-1541

2017

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Projection space denoising with bilateral filtering and CT noise modeling for dose reduction in CT

Medical physics (Lancaster), 2009-11, Vol.36 (11), p.4911-4919

2009

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Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms

Medical physics (Lancaster), 2012-07, Vol.39 (7), p.4115-4122

2012

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Assessment of the dose reduction potential of a model‐based iterative reconstruction algorithm using a task‐based performance metrology

Medical physics (Lancaster), 2015-01, Vol.42 (1), p.314-323

2015

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Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images

IEEE transactions on image processing, 2012-01, Vol.21 (1), p.130-144

2012

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Noise Suppression With Similarity-Based Self-Supervised Deep Learning

Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion

Total‐body low‐dose CT image denoising using a prior knowledge transfer technique with a contrastive regularization mechanism

A Survey on State-of-the-Art Denoising Techniques for Brain Magnetic Resonance Images

SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding

Denoising of polychromatic CT images based on their own noise properties

Deep learning on image denoising: An overview

A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising

Image denoising using deep CNN with batch renormalization

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

Bayesian Wavelet-Based Image Denoising Using the Gauss-Hermite Expansion

Patch-Based Near-Optimal Image Denoising

Adaptive nonlocal means filtering based on local noise level for CT denoising

Sparse Representation for Color Image Restoration

Content-Noise Complementary Learning for Medical Image Denoising

A Deep Learning-Based Model That Reduces Speed of Sound Aberrations for Improved In Vivo Photoacoustic Imaging

Self-organized operational neural networks for severe image restoration problems

Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content

Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks

Medical image processing on the GPU – Past, present and future

Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction

Projection space denoising with bilateral filtering and CT noise modeling for dose reduction in CT

Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms

Assessment of the dose reduction potential of a model‐based iterative reconstruction algorithm using a task‐based performance metrology

Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images

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