Low-Dose CT Denoising
The papers in this topic, the datasets they use, the teams that focus on it, the toolkits assigned to it, and the authors with several papers here. Select any node to see its connections.
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Low-Dose CT Denoising
Team
- Bouman Group
- Computational Image Analysis (CIA) Group
- CT Clinical Innovation Center
- CT Reconstruction Groups (Chen / Luo)
- CT Research Group (UW CT Lab)
- Fessler Group
- Mathematical Imaging Group (Ozan Öktem)
- WANG-AXIS Lab / Biomedical Imaging Center (BIC)
- X-ray Tomographic Imaging Group
Topic
Paper
- 3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture
- 3pADMM
- AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising
- AgenticCT
- AllFreqNet
- AMIR
- An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
- Applications of nonlocal means algorithm in low-dose X-ray CT image processing and reconstruction: A review
- ASCON
- AWTV
- BCD-Net
- Ca-ResUnet
- CADL
- CCN-CL
- CLEAR
- CoCoDiff
- ContiLNN
- CoreDiff
- CPCE
- CTformer
- CTPretrain
- Cycle-Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography
- Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising
- CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement
- DADN
- DDN-FM
- DeACNN
- Dedicated convolutional neural network for noise reduction in ultra-high-resolution photon-counting detector computed tomography
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- Deep learning CT image restoration using system blur and noise models
- Deep Learning-Based Dictionary Learning and Tomographic Image Reconstruction
- DenoMamba
- DESDGAN
- DFDLM
- DiffCode
- Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising
- DIRE
- Dose-Aware Cold Diffusion with Physics Consistency for Generalizable Low-Dose CT Reconstruction
- DP-ResNet
- DPER
- DU-GAN
- Dual-AGNet
- DuDoUFNet
- EAGLE
- EASEL
- EDCNN
- End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
- FedM2CT
- Filter2Noise
- FORCE
- Foundation-VAE
- FoundDiff
- Generative Adversarial Networks for Noise Reduction in Low-Dose CT
- GGMRF
- HARU-Net
- HounsWorld
- IMAP-TV
- IRDS
- K-SVD
- KSAE
- LangMamba
- Learned denoising with simulated and experimental low-dose CT data
- LEDA
- LoDoPaB-CT
- Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations
- Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup
- Low-dose CT via convolutional neural network
- Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization
- Low-dose X-ray computed tomography image reconstruction with a combined low-mAs and sparse-view protocol
- Low-Dose X-ray CT Reconstruction via Dictionary Learning
- Low-dose x-ray tomography through a deep convolutional neural network
- Low-Level Dataset Distillation for Medical Image Enhancement
- MAGIC
- MALAR
- MAP-NN
- MBDL
- MSM/TomoTx
- Multislice input for 2D and 3D residual convolutional neural network noise reduction in CT
- MVSS-PCR
- N2S
- Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction
- Noise2Inverse
- Noise2Match
- PALETTE
- PDuMSRNet
- Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness
- PnP
- Preserving noise texture through training data curation for deep learning denoising of high-resolution cardiac EID-CT
- PWLS-ULTRA
- RDDM
- RED
- RED-CNN
- REDAEP
- SACNN
- SAGAN
- SDF
- SENP
- SinoNet
- Slice-wise reconstruction for low-dose cone-beam CT using a deep residual convolutional neural network
- SMGAN
- Spatial resolution properties of penalized-likelihood image reconstruction: space-invariant tomographs
- SPULTRA
- SSDA
- ST_CNN
- Statistical Image Reconstruction Using Mixed Poisson-Gaussian Noise Model for X-Ray CT
- SUPER-2
- Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT
- TAMP
- TAT
- Technical note: Phantom-based training framework for convolutional neural network CT noise reduction
- TMGAN
- To recurse or not to recurse: a low-dose CT study
- TOD-Net
- TomoGAN
- Toward CT-Equivalent Image Quality in Low-Dose Radiotherapy Planning: Conditional Diffusion-Based CBCT-to-CT Synthesis and the Impact of CBCT Input Representation
- Trainable joint bilateral filters for enhanced prediction stability in low-dose CT
- TransCT
- Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging
- Ultralow-parameter denoising: Trainable bilateral filter layers in computed tomography
- UniMedIR
- UniSino
- VVBP-tSVD
- WavResNet
- WGAN-VGG
- Zero-Shot Low-dose CT Denoising via Sinogram Flicking
- ZIRCON
Toolkit
Dataset
Benchmark
Author
- Akitoshi Inoue
- Andreas Maier
- Andrew D. Missert
- Bingzheng Wei
- Charles A. Bouman
- Chenyu You
- Chuang Niu
- Cynthia H. McCollough
- Deyu Meng
- Dianlin Hu
- Dong Liang
- Dong Zeng
- Doğa Gürsoy
- Dufan Wu
- Emily K. Koons
- Fabian Wagner
- Fenglei Fan
- Francesco De Carlo
- Ge Wang
- Georges El Fakhri
- Guotao Quan
- Hao Zhang
- Hengyong Yu
- Hongkai Yang
- Hongming Shan
- Hu Chen
- Hua Zhang
- Huazhong Shu
- Huidong Xie
- Jamison E. Thorne
- Jawook Gu
- Jean-Louis Coatrieux
- Jeffrey A. Fessler
- Jianhua Ma
- Jiliu Zhou
- Jin Liu
- Jing Huang
- Jiping Wang
- Joel G. Fletcher
- Jong Chul Ye
- Junping Zhang
- K. Joost Batenburg
- Kaichao Liang
- Kyungsang Kim
- Li Zhang
- Lifeng Yu
- Limin Luo
- Linda-Sophie Schneider
- Mannudeep K. Kalra
- Mareike Thies
- Mingxuan Gu
- Nathan R. Huber
- Ozan Öktem
- Peixi Liao
- Pingkun Yan
- Qi Gao
- Qi Gao
- Qi Xie
- Qianlong Zhao
- Qiaoqiao Ding
- Qiegen Liu
- Quanzheng Li
- Saiprasad Ravishankar
- Shanli Zhang
- Shanzhou Niu
- Shaojie Chang
- Shuai Leng
- Siming Bayer
- Siqi Ye
- Siyuan Mei
- Weiwen Wu
- Wenjun Xia
- Wufan Chen
- Xiaokun Liang
- Xiaoqun Zhang
- Xuanqin Mou
- Yan Lei Xu
- Yan Liu
- Yang Chen
- Yi Zhang
- Yikun Zhang
- Yixing Huang
- Yong Qiang Long
- Yongbo Wang
- Yongqiang Huang
- Yongyi Shi
- Yuxiang Xing
- Z. P. Chen
- Zhanli Hu
- Zhaoying Bian
- Zhengrong Liang
- Zhiqiang Chen
- Zhiwen Yang
- Zhongxing Zhou
- Zongben Xu