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A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT images

Medical physics (Lancaster), 2019-09, Vol.46 (9), p.3906-3923

2019

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Effect of optical blurring of X-ray source on breast tomosynthesis image quality: Modulation transfer function, anatomical noise power spectrum, and signal detectability perspectives

PloS one, 2022-05, Vol.17 (5), p.e0267850-e0267850

2022

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Rigid and non-rigid motion artifact reduction in X-ray CT using attention module

Medical image analysis, 2021-01, Vol.67, p.101883-101883, Article 101883

2021

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Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction

PloS one, 2018-03, Vol.13 (3), p.e0194408-e0194408

2018

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A metal artifact reduction method for small field of view CT imaging

PloS one, 2021-01, Vol.16 (1), p.e0227656-e0227656

2021

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A metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation

PloS one, 2017-06, Vol.12 (6), p.e0179022-e0179022

2017

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Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images

PloS one, 2022-01, Vol.17 (1), p.e0262736-e0262736

2022

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Human observer performance on in-plane digital breast tomosynthesis images: Effects of reconstruction filters and data acquisition angles on signal detection

PloS one, 2020-03, Vol.15 (3), p.e0229915-e0229915

2020

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A New Method to Measure Directional Modulation Transfer Function Using Sphere Phantoms in a Cone Beam Computed Tomography System

IEEE transactions on medical imaging, 2015-04, Vol.34 (4), p.902-910

2015

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A Sphere Phantom Approach to Measure Directional Modulation Transfer Functions for Tomosynthesis Imaging Systems

IEEE transactions on medical imaging, 2016-03, Vol.35 (3), p.871-881

2016

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Moving Beam-Blocker-Based Low-Dose Cone-Beam CT

IEEE transactions on nuclear science, 2016-10, Vol.63 (5), p.2540-2549

2016

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Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser

IEEE access, 2022, Vol.10, p.62412-62422

2022

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Ring artifact correction using detector line-ratios in computed tomography

Optics express, 2014-06, Vol.22 (11), p.13380-13392

2014

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A Convolutional Neural Network-based Anthropomorphic Model Observer for Signal Detection in Breast CT Images without Human-labeled Data

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT

Machine vision and applications, 2021-11, Vol.32 (6), Article 116

2021

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Iterative reconstruction for limited-angle CT using implicit neural representation

Physics in medicine & biology, 2024-05, Vol.69 (10), p.105008

2024

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Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique

IEEE access, 2023, Vol.11, p.49261-49272

2023

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Direct estimation of the noise power spectrum from patient data to generate synthesized CT noise for denoising network training

Medical physics (Lancaster), 2024-03, Vol.51 (3), p.1637-1652

2024

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A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique

IEEE access, 2022, Vol.10, p.86395-86407

2022

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Convolutional neural network-based model observer for signal known statistically task in breast tomosynthesis images

Medical physics (Lancaster), 2023-10, Vol.50 (10), p.6390-6408

2023

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Power-law spectrum-based objective function to train a generative adversarial network with transfer learning for the synthetic breast CT image

Physics in medicine & biology, 2023-10, Vol.68 (20), p.205007

2023

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Deep learning-based multimodal fusion network for segmentation and classification of breast cancers using B-mode and elastography ultrasound images

Bioengineering & translational medicine, 2023-11, Vol.8 (6), p.e10480-n/a

2023

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A convolutional neural network-based anthropomorphic model observer for signal-known-statistically and background-known-statistically detection tasks

Physics in medicine & biology, 2020-11, Vol.65 (22), p.225025-225025

2020

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Method to estimate fan‐beam CT noise power spectrum using two basis functions with a limited number of noise realizations

Medical physics (Lancaster), 2022-03, Vol.49 (3), p.1619-1634

2022

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Multi-pass approach to reduce cone-beam artifacts in a circular orbit cone-beam CT system

Optics express, 2019-04, Vol.27 (7), p.10108-10126

2019

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A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT images

Effect of optical blurring of X-ray source on breast tomosynthesis image quality: Modulation transfer function, anatomical noise power spectrum, and signal detectability perspectives

Rigid and non-rigid motion artifact reduction in X-ray CT using attention module

Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction

A metal artifact reduction method for small field of view CT imaging

A metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation

Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images

Human observer performance on in-plane digital breast tomosynthesis images: Effects of reconstruction filters and data acquisition angles on signal detection

A New Method to Measure Directional Modulation Transfer Function Using Sphere Phantoms in a Cone Beam Computed Tomography System

A Sphere Phantom Approach to Measure Directional Modulation Transfer Functions for Tomosynthesis Imaging Systems

Moving Beam-Blocker-Based Low-Dose Cone-Beam CT

Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser

Ring artifact correction using detector line-ratios in computed tomography

A Convolutional Neural Network-based Anthropomorphic Model Observer for Signal Detection in Breast CT Images without Human-labeled Data

Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT

Iterative reconstruction for limited-angle CT using implicit neural representation

Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique

Direct estimation of the noise power spectrum from patient data to generate synthesized CT noise for denoising network training

A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique

Convolutional neural network-based model observer for signal known statistically task in breast tomosynthesis images

Power-law spectrum-based objective function to train a generative adversarial network with transfer learning for the synthetic breast CT image

Deep learning-based multimodal fusion network for segmentation and classification of breast cancers using B-mode and elastography ultrasound images

A convolutional neural network-based anthropomorphic model observer for signal-known-statistically and background-known-statistically detection tasks

Method to estimate fan‐beam CT noise power spectrum using two basis functions with a limited number of noise realizations

Multi-pass approach to reduce cone-beam artifacts in a circular orbit cone-beam CT system

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