DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
☆82Nov 3, 2021Updated 4 years ago
Alternatives and similar repositories for DU-GAN
Users that are interested in DU-GAN are comparing it to the libraries listed below
Sorting:
- Low Dose CT Image Denoising Using a Cycle-Consistent Adversarial Networks.☆44Dec 14, 2020Updated 5 years ago
- Official implementation of UNAD: Universal Anatomy-initialized Noise Distribution Learning Framework Towards Low-dose CT Denoising☆14Mar 19, 2024Updated last year
- ☆80Jan 22, 2025Updated last year
- AAPM Low Dose CT data denoising using Cycle GAN☆28Jun 28, 2023Updated 2 years ago
- Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)☆256Nov 25, 2020Updated 5 years ago
- Pytorch Implementation of Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Los…☆145Nov 17, 2020Updated 5 years ago
- Pytorch implementation of Content-Noise Complementary Learning for Medical Image Denoising.☆46Jan 25, 2024Updated 2 years ago
- Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network☆138Jan 4, 2022Updated 4 years ago
- Official implementation of "ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising"☆33Dec 5, 2023Updated 2 years ago
- Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss☆35Dec 26, 2018Updated 7 years ago
- Master Thesis project to reduce artefacts in Cone-Bean CT using deep learning☆20Apr 30, 2021Updated 4 years ago
- This repository includes implementation of CTformer on Low-dose CT Denoising☆79Apr 4, 2022Updated 3 years ago
- EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising☆161Apr 26, 2021Updated 4 years ago
- low dose CT simulator to yield low dose CT images from high-dose one☆56Apr 17, 2017Updated 8 years ago
- The official implementation of Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content c…☆16Oct 13, 2023Updated 2 years ago
- Learning to Reconstruct CT Images from the VVBP-Tensor☆15Jun 12, 2021Updated 4 years ago
- SDCNN: Self-Supervised Disentangled Convolutional Neural Network for Low-Dose CT Denoising☆16Apr 11, 2025Updated 10 months ago
- [KAIST AI618] CycleGAN implementation for CT denoising☆17Jun 9, 2024Updated last year
- ☆13Jan 23, 2019Updated 7 years ago
- ☆75Jan 2, 2024Updated 2 years ago
- Source code of MAP-NN paper☆36Jul 10, 2019Updated 6 years ago
- Code and papers for Low-Dose CT denoising☆103Mar 7, 2021Updated 4 years ago
- This code is an official implementation of "DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction".☆43Dec 28, 2022Updated 3 years ago
- Low-dose CT image denoising model based on deep learning & CT image Viewer.☆41Jul 15, 2024Updated last year
- ☆16Apr 28, 2023Updated 2 years ago
- ☆13Oct 26, 2022Updated 3 years ago
- Code for [MICCAI 2024] WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising.☆28Oct 22, 2024Updated last year
- ☆26Jun 13, 2018Updated 7 years ago
- ☆26Aug 6, 2019Updated 6 years ago
- ☆50Jan 23, 2022Updated 4 years ago
- Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018☆52Feb 17, 2019Updated 7 years ago
- Dual-domain attention-guided low-dose CBCT reconstruction☆10Jun 17, 2022Updated 3 years ago
- ☆15Aug 23, 2024Updated last year
- A Pytorch implementation of SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction☆18Mar 2, 2024Updated 2 years ago
- ☆20Sep 22, 2023Updated 2 years ago
- code for the paper entitled "A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution"☆43Apr 23, 2018Updated 7 years ago
- Fast, accurate and reliable software for algebraic CT reconstruction☆28Feb 25, 2026Updated last week
- [IEEE TCI] Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography☆27Nov 29, 2023Updated 2 years ago
- 【TMI2021】DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reductionin CT Images☆25Jan 9, 2024Updated 2 years ago