Unpaired low-dose CT denoising via an improved cycle-consistent adversarial network with attention ensemble

[1]  Yan Jin,et al.  Low-dose CT image restoration based on noise prior regression network , 2022, The Visual Computer.

[2]  Jixiang Zhang,et al.  A systematic review on application of deep learning in digestive system image processing , 2021, The Visual Computer.

[3]  Jawook Gu,et al.  CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement , 2021, Medical Image Anal..

[4]  Qianjin Feng,et al.  GapFill-Recon Net: A Cascade Network for simultaneously PET Gap Filling and Image Reconstruction , 2021, Comput. Methods Programs Biomed..

[5]  A. Mtibaa,et al.  A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets , 2021, The Visual Computer.

[6]  Biao Wei,et al.  Sinogram denoising via attention residual dense convolutional neural network for low-dose computed tomography , 2021, Nuclear Science and Techniques.

[7]  Yuhu Cheng,et al.  Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution images , 2021, Computer Methods and Programs in Biomedicine.

[8]  Zhanli Hu,et al.  Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks , 2020, Neurocomputing.

[9]  Yao Yu,et al.  Low-dose CT lung images denoising based on multiscale parallel convolution neural network , 2020, Vis. Comput..

[10]  Nelson D. A. Mascarenhas,et al.  Poisson denoising under a Bayesian nonlocal approach using geodesic distances with low-dose CT applications , 2020, Digit. Signal Process..

[11]  Yi-Fei Pu,et al.  Low-dose CT image denoising using residual convolutional network with fractional TV loss , 2020, Neurocomputing.

[12]  Yuanwei He,et al.  Noise suppression–guided image filtering for low-SNR CT reconstruction , 2020, Medical & Biological Engineering & Computing.

[13]  Marc J. Pomeroy,et al.  Characterization of Tissue-specific Pre-log Bayesian CT Reconstruction by Texture-Dose Relationship. , 2020, Medical physics.

[14]  S. Wildermuth,et al.  Chest X-ray Dose Equivalent Low-dose CT with Tin Filtration: Potential Role for the Assessment of Pectus Excavatum. , 2020, Academic radiology.

[15]  Jieqing Tan,et al.  BM3D image denoising algorithm based on an adaptive filtering , 2020, Multimedia tools and applications.

[16]  Li Wang,et al.  Improved RPCA method via non-convex regularisation for image denoising , 2020, IET Signal Process..

[17]  Yuxiang Xing,et al.  Stationary Computed Tomography with Source and Detector in Linear Symmetric-Geometry: Direct Filtered-Backprojection Reconstruction. , 2020, Medical physics.

[18]  Tingting Zhao,et al.  Ultra‐low‐dose CT image denoising using modified BM3D scheme tailored to data statistics , 2018, Medical physics.

[19]  Jong Chul Ye,et al.  Cycle‐consistent adversarial denoising network for multiphase coronary CT angiography , 2018, Medical physics.

[20]  Ke Sheng,et al.  Technical Note: Iterative megavoltage CT (MVCT) reconstruction using block‐matching 3D‐transform (BM3D) regularization , 2018, Medical physics.

[21]  Changwen Zheng,et al.  Adaptive rendering based on robust principal component analysis , 2018, The Visual Computer.

[22]  Caiming Zhang,et al.  Adaptive filtering with self-similarity for low-dose CT imaging , 2015 .

[23]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[24]  Limin Luo,et al.  Bayesian sinogram smoothing with an anisotropic diffusion weighted prior for low-dose X-ray computed tomography , 2013 .

[25]  J. Coatrieux,et al.  Improving abdomen tumor low-dose CT images using a fast dictionary learning based processing , 2013, Physics in medicine and biology.

[26]  E. Sidky,et al.  Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization , 2008, Physics in medicine and biology.

[27]  D. McCauley,et al.  Low-dose CT of the lungs: preliminary observations. , 1990, Radiology.

[28]  Terry M. Peters,et al.  Image reconstruction from finite numbers of projections , 1973 .

[29]  Juanjuan Zhao,et al.  An adaptive self-guided wavelet convolutional neural network with compound loss for low-dose CT denoising , 2022, Biomed. Signal Process. Control..

[30]  Kewen Xia,et al.  Unpaired Image Denoising via Wasserstein GAN in Low-Dose CT Image with Multi-Perceptual Loss and Fidelity Loss , 2021, Symmetry.

[31]  Quan Zhang,et al.  Low-dose CT statistical iterative reconstruction via modified MRF regularization , 2016, Comput. Methods Programs Biomed..