Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?

8 November 2018

Papers citing "Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?"

50 / 62 papers shown

Title
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review Jingguo Qu Xinyang Han Man-Lik Chui Yao Pu Simon Takadiyi Gunda ... Jing Qin Ann Dorothy King Winnie Chiu-Wing Chu J. Cai Michael Tin-Cheung Ying 31 0 0 09 May 2025
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications Yongrui Yu Yannian Gu S. Zhang Xiaofan Zhang MedIm 38 2 0 20 Oct 2024
DenoMamba: A fused state-space model for low-dose CT denoising Şaban Öztürk Oğuz Can Duran Tolga Çukur Mamba MedIm 31 4 0 19 Sep 2024
Low-dose CT Denoising with Language-engaged Dual-space Alignment Zhihao Chen Tao Chen Chenhui Wang Chuang Niu Ge Wang Hongming Shan 29 7 0 10 Mar 2024
PFCM: Poisson flow consistency models for low-dose CT image denoising Dennis Hein Adam Wang Ge Wang Ge Wang DiffM 37 1 0 13 Feb 2024
Supervised Reconstruction for Silhouette Tomography Evan Bell Michael T. McCann M. Klasky 16 0 0 11 Feb 2024
Low-resolution Prior Equilibrium Network for CT Reconstruction Yijie Yang Qifeng Gao Yuping Duan 24 0 0 28 Jan 2024
IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models Zhihao Chen Bin Hu Chuang Niu Tao Chen Yuxin Li Hongming Shan Ge Wang LM&MA MLLM 19 4 0 25 Dec 2023
PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative models Dennis Hein Staffan Holmin Timothy Szczykutowicz Jonathan S. Maltz Mats Danielsson Ge Wang Mats U. Persson DiffM MedIm 16 7 0 15 Dec 2023
LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising Dayang Wang Yongshun Xu Shuo Han Zhan Wu Li Zhou Bahareh Morovati Hengyong Yu MedIm 38 2 0 19 Oct 2023
Privacy-Preserving Encrypted Low-Dose CT Denoising Ziyuan Yang Huijie Huangfu Maosong Ran Zhiwen Wang Hui Yu Yi Zhang 31 0 0 13 Oct 2023
OSNet & MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios Zhisheng Wang Z. Deng Fenglin Liu Yixing Huang Haijun Yu Junning Cui 6 3 0 21 Sep 2023
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising Zhihao Chen Qinhan Gao Yi Zhang Hongming Shan 21 16 0 23 Jul 2023
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model Dayang Wang Srivathsa Pasumarthi Greg Zaharchuk R. Chamberlain MedIm 18 1 0 22 Jul 2023
Stretched sinograms for limited-angle tomographic reconstruction with neural networks Kyle L. Luther Sebastian Seung 16 0 0 16 Jun 2023
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising Xuantong Liu Yaoqin Xie Junting Cheng Songhui Diao Shan Tan Xiaokun Liang MedIm DiffM 19 25 0 25 May 2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization Q. Gao Zilong Li Junping Zhang Yi Zhang Hongming Shan DiffM MedIm 27 49 0 04 Apr 2023
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring Zhihao Chen Chuang Niu Qi Gao Ge Wang Hongming Shan MedIm ViT 3DV 33 20 0 21 Feb 2023
QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data Yuhui Ruan Qiao Yuan Chuang Niu Chen Li Yudong Yao Ge Wang Yueyang Teng OOD 17 2 0 08 Feb 2023
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction Bing Guan Cailian Yang Liu Zhang S. Niu Minghui Zhang Yuhao Wang Weiwen Wu Qiegen Liu DiffM MedIm 30 41 0 25 Nov 2022
Masked Autoencoders for Low dose CT denoising Dayang Wang Yongshun Xu Shuo Han Hengyong Yu MedIm 19 12 0 10 Oct 2022
$Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup$ Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 $\times$ Speedup Wenjun Xia Qing Lyu Ge Wang DiffM MedIm 20 4 0 29 Sep 2022
Recent Progress in Transformer-based Medical Image Analysis Zhao-cheng Liu Qiujie Lv Ziduo Yang Yifan Li Chau Hung Lee Leizhao Shen MedIm 40 56 0 13 Aug 2022
Quad-Net: Quad-domain Network for CT Metal Artifact Reduction Zilong Li Qinhan Gao Yaping Wu Chuang Niu Junping Zhang Meiyun Wang Ge Wang Hongming Shan MedIm 11 8 0 24 Jul 2022
Low-Dose CT Denoising via Sinogram Inner-Structure Transformer Liutao Yang Zhongnian Li Rongjun Ge Junyong Zhao Haipeng Si Daoqiang Zhang MedIm 11 52 0 07 Apr 2022
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey Wenjun Xia Hongming Shan Ge Wang Yi Zhang OOD AI4CE 6 23 0 29 Mar 2022
Limited Parameter Denoising for Low-dose X-ray Computed Tomography Using Deep Reinforcement Learning Mayank Patwari R. Gutjahr R. Raupach Andreas K. Maier OOD 15 12 0 28 Mar 2022
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain R. Vimieiro Chuang Niu Hongming Shan L. Borges Ge Wang M. Vieira 6 2 0 22 Mar 2022
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising Dayang Wang Fenglei Fan Zhan Wu R. Liu Fei-Yue Wang Hengyong Yu ViT MedIm 26 121 0 28 Feb 2022
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography Hongming Shan R. Vimieiro L. Borges M. Vieira Ge Wang MedIm 22 10 0 12 Nov 2021
Self-Verification in Image Denoising Huangxing Lin Yihong Zhuang Delu Zeng Yue Huang Xinghao Ding John Paisley DiffM 14 1 0 01 Nov 2021
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising Zhizhong Huang Junping Zhang Yi Zhang Hongming Shan MedIm 20 147 0 24 Aug 2021
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction Mona Zehni Zhizhen Zhao GAN 14 0 0 23 Aug 2021
TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising Dayang Wang Zhan Wu Hengyong Yu ViT MedIm 16 53 0 08 Jun 2021
GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for Low-dose CT Denoising Kecheng Chen Jiayu Sun Jiang Shen Jixiang Luo Xinyu Zhang ... Dongsheng Wu Yue Zhao Miguel Bento Yazhou Ren X. Pu 25 2 0 15 May 2021
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction Qingchao Zhang Mehrdad Alvandipour Wenjun Xia Yi Zhang X. Ye Yunmei Chen 13 6 0 27 Apr 2021
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection Kecheng Chen Kun Long Yazhou Ren Jiayu Sun X. Pu MedIm 17 20 0 18 Apr 2021
Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction Steven Guan Ko-Tsung Hsu Matthias Eyassu P. Chitnis MedIm 22 17 0 07 Apr 2021
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising Zexin Lu Wenjun Xia Yongqiang Huang Hongming Shan Hu Chen Jiliu Zhou Yan Zhang MedIm 20 23 0 24 Mar 2021
Deep High-Resolution Network for Low Dose X-ray CT Denoising T. Bai D. Nguyen Biling Wang Steve B. Jiang OOD 27 3 0 01 Feb 2021
PFA-GAN: Progressive Face Aging with Generative Adversarial Network Zhizhong Huang Shouzhen Chen Junping Zhang Hongming Shan CVBM GAN 18 49 0 07 Dec 2020
Sparse-View Spectral CT Reconstruction Using Deep Learning Wail Mustafa C. Kehl U. L. Olsen Søren Kimmer Schou Gregersen David Malmgren-Hansen J. Kehres A. Dahl 14 10 0 30 Nov 2020
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising Tengfei Liang Yi Jin Yidong Li Tao Wang Songhe Feng Congyan Lang 8 94 0 30 Oct 2020
JBFnet -- Low Dose CT Denoising by Trainable Joint Bilateral Filtering Mayank Patwari R. Gutjahr R. Raupach Andreas K. Maier 15 16 0 09 Jul 2020
Probabilistic self-learning framework for Low-dose CT Denoising T. Bai D. Nguyen Biling Wang Steve B. Jiang OOD 14 31 0 30 May 2020
Low-Dose CT Image Denoising Using Parallel-Clone Networks Siqi Li Guobao Wang OOD 21 9 0 14 May 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 32 300 0 08 Jan 2020
Low radiation tomographic reconstruction with and without template information Preeti Gopal S. Chandran I. Svalbe Ajit V. Rajwade 14 5 0 23 Dec 2019
Deep Efficient End-to-end Reconstruction (DEER) Network for Few-view Breast CT Image Reconstruction Huidong Xie Hongming Shan W. Cong Chi Liu Xiaohua Zhang Shaohua Liu R. Ning Ge Wang MedIm 8 2 0 09 Dec 2019
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data Huidong Xie Hongming Shan Ge Wang MedIm 16 29 0 13 Nov 2019