Cycle-consistent adversarial denoising network for multiphase coronary CT angiography
出版年份 2018 全文链接
标题
Cycle-consistent adversarial denoising network for multiphase coronary CT angiography
作者
关键词
-
出版物
MEDICAL PHYSICS
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2018-11-18
DOI
10.1002/mp.13284
参考文献
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。- Learned Primal-Dual Reconstruction
- (2018) Jonas Adler et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
- (2018) Eunhee Kang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
- (2018) Qingsong Yang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT
- (2018) Yoseob Han et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network
- (2018) Xin Yi et al. JOURNAL OF DIGITAL IMAGING
- Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
- (2018) Jong Chul Ye et al. SIAM Journal on Imaging Sciences
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- (2017) Kyong Hwan Jin et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
- (2017) Hu Chen et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Generative Adversarial Networks for Noise Reduction in Low-Dose CT
- (2017) Jelmer M. Wolterink et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Low-dose CT for the detection and classification of metastatic liver lesions: Results of the 2016 Low Dose CT Grand Challenge
- (2017) Cynthia H. McCollough et al. MEDICAL PHYSICS
- A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction
- (2017) Eunhee Kang et al. MEDICAL PHYSICS
- Stress Myocardial Perfusion CT in Patients Suspected of Having Coronary Artery Disease: Visual and Quantitative Analysis—Validation by Using Fractional Flow Reserve
- (2015) Dong Hyun Yang et al. RADIOLOGY
- Diagnostic Performance of an Advanced Modeled Iterative Reconstruction Algorithm for Low-Contrast Detectability with a Third-Generation Dual-Source Multidetector CT Scanner: Potential for Radiation Dose Reduction in a Multireader Study
- (2015) Justin Solomon et al. RADIOLOGY
- Demonstration of Mitral Valve Prolapse with CT for Planning of Mitral Valve Repair
- (2014) Hyun Jung Koo et al. RADIOGRAPHICS
- Iterative reconstruction methods in X-ray CT
- (2012) Marcel Beister et al. Physica Medica-European Journal of Medical Physics
- A Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction
- (2011) S. Ramani et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Combination of a Low-Tube-Voltage Technique With Hybrid Iterative Reconstruction (iDose) Algorithm at Coronary Computed Tomographic Angiography
- (2011) Yoshinori Funama et al. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
- Evaluation of Heavily Calcified Vessels with Coronary CT Angiography: Comparison of Iterative and Filtered Back Projection Image Reconstruction
- (2011) Matthias Renker et al. RADIOLOGY
- Adaptive Statistical Iterative Reconstruction: Assessment of Image Noise and Image Quality in Coronary CT Angiography
- (2010) Jonathon Leipsic et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic CT images from highly undersampled projection data sets
- (2008) Guang-Hong Chen et al. MEDICAL PHYSICS
- Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
- (2008) Emil Y Sidky et al. PHYSICS IN MEDICINE AND BIOLOGY
- Optimal Electrocardiographic Pulsing Windows and Heart Rate: Effect on Image Quality and Radiation Exposure at Dual-Source Coronary CT Angiography
- (2008) Annick C. Weustink et al. RADIOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now