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"

48 / 48 papers shown

Title
GLIMPSE: Generalized Local Imaging with MLPs AmirEhsan Khorashadizadeh Valentin Debarnot Tianlin Liu Ivan Dokmanić 28 1 0 01 Jan 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction Hang Xu A. Perelli 16 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 S. Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 18 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 28 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 22 3 0 29 Nov 2022
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction Wenjun Xia W. Cong Ge Wang DiffM MedIm 20 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
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise Charles Millard M. Chiew 32 32 0 20 May 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 K. Maier MedIm AI4CE 26 22 0 25 Jan 2022
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images Ruiwen Xing T. Humphries D. Si GAN MedIm 21 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 16 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 19 4 0 07 Dec 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 19 101 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 6 94 0 30 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 25 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 6 27 0 11 Jun 2020
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging A. Hariri Kamran Alipour Yash Mantri J. Schulze J. Jokerst 22 64 0 19 Apr 2020
Learning When and Where to Zoom with Deep Reinforcement Learning Burak Uzkent Stefano Ermon 11 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 13 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 11 208 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 19 20 0 16 Dec 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 15 37 0 01 Aug 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 25 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 13 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 8 200 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 11 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 14 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 6 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 10 136 0 12 Nov 2018
k-Space Deep Learning for Accelerated MRI Yoseob Han Leonard Sunwoo J. C. Ye 16 188 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 13 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 14 180 0 14 Mar 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 22 95 0 17 Dec 2017
200x Low-dose PET Reconstruction using Deep Learning Junshen Xu Enhao Gong John M. Pauly Greg Zaharchuk MedIm 16 131 0 12 Dec 2017
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 17 997 0 07 Dec 2017
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks S. Hamilton A. Hauptmann 30 253 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 18 89 0 01 Nov 2017
Deep Learning for Accelerated Ultrasound Imaging Y. Yoon J. C. Ye 24 18 0 27 Oct 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss Qingsong Yang Pingkun Yan Yanbo Zhang Hengyong Yu Yongyi Shi X. Mou M. Kalra Ge Wang GAN MedIm 30 1,187 0 03 Aug 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 19 747 0 20 Jul 2017
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems J. C. Ye Yoseob Han Eunju Cha 33 16 0 03 Jul 2017
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising Dufan Wu Kyungsang Kim G. El Fakhri Quanzheng Li MedIm OOD 18 65 0 11 May 2017
Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction Eunhee Kang Junhong Min J. C. Ye MedIm OOD 27 61 0 04 Mar 2017
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis Yoseob Han J. Yoo J. C. Ye 30 203 0 19 Nov 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,947 0 15 Dec 2014