相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
Qingsong Yang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network
Xin Yi et al.
JOURNAL OF DIGITAL IMAGING (2018)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
Hu Chen et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
Generative Adversarial Networks for Noise Reduction in Low-Dose CT
Jelmer M. Wolterink et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction
Eunhee Kang et al.
MEDICAL PHYSICS (2017)
Low-dose CT via convolutional neural network
Hu Chen et al.
BIOMEDICAL OPTICS EXPRESS (2017)
Dilated Deep Residual Network for Image Denoising
Tianyang Wang et al.
2017 IEEE 29TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2017) (2017)
Convolutional auto-encoder for image denoising of ultra-low-dose CT
Mizuho Nishio et al.
HELIYON (2017)
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)
Adaptively Tuned Iterative Low Dose CT Image Denoising
SayedMasoud Hashemi et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2015)
A Simple Low-Dose X-Ray CT Simulation From High-Dose Scan
Dong Zeng et al.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE (2015)
Methods for Clinical Evaluation of Noise Reduction Techniques in Abdominopelvic CT
Eric C. Ehman et al.
RADIOGRAPHICS (2014)
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Kenneth Clark et al.
JOURNAL OF DIGITAL IMAGING (2013)
A Simple Method for Simulating Reduced-Dose Images for Evaluation of Clinical CT Protocols
N. Bevins et al.
MEDICAL PHYSICS (2013)
Improving abdomen tumor low-dose CT images using a fast dictionary learning based processing
Yang Chen et al.
PHYSICS IN MEDICINE AND BIOLOGY (2013)
Abdominal CT With Model-Based Iterative Reconstruction (MBIR): Initial Results of a Prospective Trial Comparing Ultralow-Dose With Standard-Dose Imaging
Perry J. Pickhardt et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2012)
Validation of Dual-Source Single-Tube Reconstruction as a Method to Obtain Half-Dose Images to Evaluate Radiation Dose and Noise Reduction: Phantom and Human Assessment Using CT Colonography and Sinogram-Affirmed Iterative Reconstruction (SAFIRE)
Joel G. Fletcher et al.
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY (2012)
Thoracic low-dose CT image processing using an artifact suppressed large-scale nonlocal means
Yang Chen et al.
PHYSICS IN MEDICINE AND BIOLOGY (2012)
Radiological Society of North America (RSNA) 2010 Annual Meeting
Jenny T. Bencardino
SKELETAL RADIOLOGY (2011)
A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom
Marios A. Gavrielides et al.
OPTICS EXPRESS (2010)
Projection space denoising with bilateral filtering and CT noise modeling for dose reduction in CT
Armando Manduca et al.
MEDICAL PHYSICS (2009)
An experimental study on the noise properties of x-ray CT sinogram data in Radon space
Jing Wang et al.
PHYSICS IN MEDICINE AND BIOLOGY (2008)
K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
Michal Aharon et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2006)
Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography
Jing Wang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2006)