Code and papers for Low-Dose CT denoising
- Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM)(MICCAI 2016) [PDF]
- A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT [PDF]
- Low-dose CT denoising with convolutional neural network(ISBI 2016) [PDF]
- (SAGAN)Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network [PDF] [Code]
- Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to “Virtual” High-Dose CT Images(MLMI 2017) [PDF]
- (KAIST-Net)A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction [PDF]
- (RED-CNN)Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network(TMI 2017) [PDF] [Code]
- (KSAERecon)Iterative low-dose CT reconstruction with priors trained by nerual networks (TMI 2017) [PDF] [Code]
- PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction(TMI 2018) [PDF] [Code]
- Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss (TMI 2018) [PDF] [Code]
- (SMGAN)Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising (IEEE Access 2018) [PDF] [Code]
- 3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network (TMI 2018) [PDF] [Code]
- Deep Convolutional Framelet Denoising for Low-Dose CT via Wavelet Residual Network(TMI 2018) [PDF] [Code]
- SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion(ISBI 2018) [PDF]
- SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction(ISBI 2018) [PDF] [Code]
- Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples（MICCAI 2019） [PDF]
- BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization(MICCAI 2019) [PDF]
- Domain Progressive 3D Residual Convolution Network to Improve Low Dose CT Imaging(TMI 2019) [PDF]