Image reconstruction by domain transform manifold learning

28 April 2017

Papers citing "Image reconstruction by domain transform manifold learning"

50 / 104 papers shown

Title
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers Abinash Nayak 13 0 0 21 Aug 2021
From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds Tianyu Wang Yifeng Huang Didong Li 12 8 0 17 Aug 2021
Multi-Modal Transformer for Accelerated MR Imaging Chun-Mei Feng Yu-bao Yan Geng Chen Yong Xu Ling Shao H. Fu MedIm ViT 29 104 0 27 Jun 2021
The Modulo Radon Transform: Theory, Algorithms and Applications Matthias Beckmann Ayush Bhandari Felix Krahmer 14 16 0 10 May 2021
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI Y. Arefeen Onur Beker Jaejin Cho Heng Yu E. Adalsteinsson B. Bilgiç 24 31 0 02 Apr 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
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution Omer San Adil Rasheed T. Kvamsdal 45 50 0 26 Mar 2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors S. Dar Mahmut Yurt Tolga Çukur 13 4 0 13 Mar 2021
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction Zaccharie Ramzi Jean-Luc Starck P. Ciuciu 26 18 0 05 Jan 2021
Bayesian Image Reconstruction using Deep Generative Models Razvan V. Marinescu Daniel Moyer Polina Golland OOD DiffM 21 39 0 08 Dec 2020
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval Eunju Cha Chanseok Lee Mooseok Jang J. C. Ye 25 15 0 20 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 19 101 0 09 Nov 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 22 69 0 29 Aug 2020
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning Dongjie Wang Yanjie Fu Pengyang Wang B. Huang Chang-Tien Lu 17 29 0 22 Aug 2020
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data Hyungjin Chung Eunju Cha Leonard Sunwoo J. C. Ye MedIm 21 26 0 04 Aug 2020
Geometry Constrained Weakly Supervised Object Localization Weizeng Lu Xi Jia Weicheng Xie Linlin Shen Yicong Zhou Jinming Duan 6 85 0 19 Jul 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 518 0 12 May 2020
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction Eunju Cha Gyutaek Oh J. C. Ye 11 11 0 17 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 50 63 0 02 Mar 2020
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser Sizhuo Liu E. T. Reehorst P. Schniter Rizwan Ahmad 13 3 0 08 Feb 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior Bo Zhou S. Kevin Zhou 18 153 0 11 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
Deep Manifold Embedding for Hyperspectral Image Classification Z. Gong Weidong Hu Xiaoyong Du P. Zhong Panhe Hu 19 27 0 24 Dec 2019
$Σ$ -net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction Kerstin Hammernik Jo Schlemper C. Qin Jinming Duan Ronald M. Summers Daniel Rueckert 14 24 0 18 Dec 2019
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell C. L. Zitnick Aaron Defazio D. Sodickson 17 105 0 27 Oct 2019
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance Jo Schlemper Ilkay Oksuz J. Clough Jinming Duan A. King J. Schnabel Joseph V. Hajnal Daniel Rueckert 9 24 0 24 Sep 2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang 25 61 0 24 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing Daniel Rueckert J. Schnabel OOD MedIm AI4CE 20 50 0 23 Sep 2019
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network Chaoping Zhang Florian Dubost Marleen de Bruijne S. Klein D. H. Poot 11 4 0 19 Sep 2019
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset Shanshan Wang Yanxia Chen Taohui Xiao Ziwen Ke Qiegen Liu Hairong Zheng 15 4 0 24 Aug 2019
DirectPET: Full Size Neural Network PET Reconstruction from Sinogram Data W. Whiteley W. K. Luk J. Gregor 3DV AI4TS 13 54 0 19 Aug 2019
Model Learning: Primal Dual Networks for Fast MR imaging Jing Cheng Haifeng Wang L. Ying Dong Liang MedIm 18 67 0 07 Aug 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 15 37 0 01 Aug 2019
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks Dong Liang Jing Cheng Ziwen Ke L. Ying 14 56 0 26 Jul 2019
Learning with Known Operators reduces Maximum Training Error Bounds Andreas K. Maier Christopher Syben Bernhard Stimpel Tobias Würfl M. Hoffmann Frank Schebesch Weilin Fu L. Mill L. Kling S. Christiansen 8 108 0 03 Jul 2019
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging Huidong Xie Hongming Shan W. Cong Xiaohua Zhang Shaohua Liu R. Ning Ge Wang MedIm 3DV 11 21 0 02 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 27 122 0 23 Jun 2019
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks Xingde Ying Heng Guo Kai Ma Jian Wu Z. Weng Yefeng Zheng GAN MedIm 14 189 0 16 May 2019
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction Hongjiang Wei Steven Cao Yuyao Zhang Xiaojun Guan Fuhua Yan K. Yeom Chunlei Liu 17 50 0 15 May 2019
PYRO-NN: Python Reconstruction Operators in Neural Networks Christopher Syben Markus Michen Bernhard Stimpel Stephan Seitz Stefan B. Ploner Andreas K. Maier AI4CE 6 58 0 30 Apr 2019
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction Florian Knoll Kerstin Hammernik Chi Zhang S. Moeller T. Pock D. Sodickson Mehmet Akçakaya OOD 11 263 0 01 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 11 74 0 01 Apr 2019
Deep Learning in Medical Image Registration: A Survey Grant Haskins Uwe Krüger Pingkun Yan MedIm 24 585 0 05 Mar 2019
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks J. Andersson H. Ahlström J. Kullberg MedIm 13 33 0 12 Dec 2018
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction Hyunkwang Lee Chao Huang Sehyo Yune Shahein H. Tajmir Myeongchan Kim Synho Do OOD 6 46 0 03 Dec 2018
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
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? Deepak Mishra Atul Padole AP Prathosh Aravind Jayendran R. Khera Varun Srivastava S. Chaudhury Ge Wang OOD 3DV 14 322 0 08 Nov 2018
Radon Inversion via Deep Learning Ji He Jianhua Ma MedIm 13 112 0 09 Aug 2018
$Real-time coherent diffraction inversion using deep generative networks$ Real-time coherent diffraction inversion using deep generative networks Mathew J. Cherukara Y. Nashed R. Harder DiffM 19 93 0 07 Jun 2018
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 18 15 0 29 May 2018