A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction

31 October 2016

Papers citing "A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction"

50 / 62 papers shown

Title
GLIMPSE: Generalized Local Imaging with MLPs AmirEhsan Khorashadizadeh Valentin Debarnot Tianlin Liu Ivan Dokmanić 36 1 0 01 Jan 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction Hang Xu A. Perelli 21 1 0 19 Dec 2023
Stretched sinograms for limited-angle tomographic reconstruction with neural networks Kyle L. Luther Sebastian Seung 16 0 0 16 Jun 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan Shirin Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 25 11 0 22 May 2023
Wavelet-based Unsupervised Label-to-Image Translation George Eskandar Mohamed Abdelsamad Karim Armanious Shuai Zhang B. Yang 36 6 0 16 May 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 36 20 0 21 Feb 2023
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT Jacopo Teneggi P. Yi Jeremias Sulam 32 3 0 29 Nov 2022
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction Wenjun Xia W. Cong Ge Wang DiffM MedIm 28 23 0 18 Nov 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
Transformer Meets Boundary Value Inverse Problems Ruchi Guo Shuhao Cao Long Chen MedIm 38 21 0 29 Sep 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Byeongsu Sim Dohoon Ryu J. C. Ye DiffM MedIm 33 432 0 02 Jun 2022
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise Charles Millard M. Chiew 40 33 0 20 May 2022
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising? Valéry Dewil Aranud Barral Gabriele Facciolo Pablo Arias 35 5 0 25 Apr 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork Alan Q. Wang Adrian V. Dalca M. Sabuncu 38 8 0 22 Feb 2022
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography Fabian Wagner Mareike Thies Mingxuan Gu Yixing Huang Sabrina Pechmann ... O. Aust S. Uderhardt G. Schett S. Christiansen Andreas Maier MedIm AI4CE 34 22 0 25 Jan 2022
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images Ruiwen Xing T. Humphries D. Si GAN MedIm 26 1 0 23 Dec 2021
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems William Herzberg D. Rowe A. Hauptmann S. Hamilton GNN MedIm AI4CE 18 33 0 28 Mar 2021
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN Gyutaek Oh Hyokyoung Bae Hyun-Seo Ahn Sung-Hong Park J. C. Ye MedIm 25 4 0 07 Dec 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 27 101 0 09 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 16 94 0 30 Oct 2020
CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels Wenjun Xia Zexin Lu Yongqiang Huang Yan Liu Hu Chen Jiliu Zhou Yi Zhang 21 9 0 27 Oct 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 33 12 0 27 Sep 2020
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation Jonas Teuwen N. Moriakov C. Fedon M. Caballo I. Reiser Pedrag Bakic E. García Oliver Díaz K. Michielsen I. Sechopoulos 15 27 0 11 Jun 2020
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging A. Hariri Kamran Alipour Yash Mantri J. Schulze J. Jokerst 30 64 0 19 Apr 2020
Learning When and Where to Zoom with Deep Reinforcement Learning Burak Uzkent Stefano Ermon 27 66 0 01 Mar 2020
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition Pak Lun Kevin Ding Zhiqiang Li Yuxiang Zhou Baoxin Li 23 34 0 13 Jan 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge Florian Knoll Tullie Murrell Anuroop Sriram N. Yakubova Jure Zbontar ... Aaron Defazio Matthew Muckley D. Sodickson C. L. Zitnick M. Recht 29 209 0 06 Jan 2020
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding Nuobei Xie Kuang Gong Ning Guo ZhiXing Qin Zhifang Wu Huafeng Liu Quanzheng Li 3DV 3DPC MedIm 27 20 0 16 Dec 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 36 37 0 01 Aug 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 33 17 0 05 Apr 2019
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data A. Kofler M. Dewey T. Schaeffter Christian Wald C. Kolbitsch 3DPC 27 74 0 01 Apr 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT) S. Hamilton A. Hänninen A. Hauptmann V. Kolehmainen 19 63 0 30 Nov 2018
Low-Dose CT via Deep CNN with Skip Connection and Network in Network Chenyu You Linfeng Yang Yi Zhang Ge Wang MedIm 16 54 0 26 Nov 2018
Automatic Three-Dimensional Cephalometric Annotation System Using Three-Dimensional Convolutional Neural Networks S. Kang Kiwan Jeon Hak-Jin Kim J. Seo Sang-Hwy Lee 19 25 0 19 Nov 2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography T. Bubba Gitta Kutyniok Matti Lassas M. März Wojciech Samek S. Siltanen Vignesh Srinivasan 24 136 0 12 Nov 2018
Visual Attention Network for Low Dose CT Wenchao Du Hu Chen Peixi Liao Hongyu Yang Ge Wang Yi Zhang GAN MedIm 27 33 0 31 Oct 2018
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network Kuang Gong Kyungsang Kim Jianan Cui Ning Guo C. Catana J. Qi Quanzheng Li MedIm 16 6 0 04 Jul 2018
k-Space Deep Learning for Accelerated MRI Yoseob Han Leonard Sunwoo J. C. Ye 38 188 0 10 May 2018
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering Joseph Y. Cheng Feiyu Chen M. Alley John M. Pauly S. Vasanawala 21 43 0 08 May 2018
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease A. Hauptmann Simon Arridge F. Lucka V. Muthurangu J. Steeden 25 180 0 14 Mar 2018
A Mathematical Framework for Deep Learning in Elastic Source Imaging J. Yoo Abdul Wahab J. C. Ye 11 8 0 27 Feb 2018
Attenuation correction for brain PET imaging using deep neural network based on dixon and ZTE MR images Kuang Gong Jaewon Yang Kyungsang Kim G. El Fakhri Youngho Seo Quanzheng Li 36 95 0 17 Dec 2017
200x Low-dose PET Reconstruction using Deep Learning Junshen Xu Enhao Gong John M. Pauly Greg Zaharchuk MedIm 22 131 0 12 Dec 2017
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 78 999 0 07 Dec 2017
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion Rushil Anirudh Hyojin Kim Jayaraman J. Thiagarajan K. A. Mohan Kyle Champley P. Bremer 21 101 0 28 Nov 2017
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks S. Hamilton A. Hauptmann 46 253 0 08 Nov 2017
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning Chenyang Shen Y. Gonzalez Liyuan Chen Steve B. Jiang X. Jia 32 89 0 01 Nov 2017
Deep Learning for Accelerated Ultrasound Imaging Y. Yoon J. C. Ye 29 18 0 27 Oct 2017
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation Kuang Gong Jiahui Guan Kyungsang Kim Xuezhu Zhang G. El Fakhri J. Qi Quanzheng Li MedIm 24 221 0 09 Oct 2017