Image reconstruction by domain transform manifold learning

28 April 2017

Papers citing "Image reconstruction by domain transform manifold learning"

49 / 149 papers shown

Title
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 72 63 0 02 Mar 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj Y. Bresler Yue Liu OOD AAML 29 50 0 26 Feb 2020
Deep Learning for Biomedical Image Reconstruction: A Survey Hanene Ben Yedder Ben Cardoen Ghassan Hamarneh MedIm 3DV 24 93 0 26 Feb 2020
FastPET: Near Real-Time PET Reconstruction from Histo-Images Using a Neural Network W. Whiteley V. Panin Chuanyu Zhou J. Cabello D. Bharkhada J. Gregor 3DH 13 9 0 11 Feb 2020
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser Sizhuo Liu E. T. Reehorst P. Schniter Rizwan Ahmad 21 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 34 153 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 32 209 0 06 Jan 2020
Deep Manifold Embedding for Hyperspectral Image Classification Z. Gong Weidong Hu Xiaoyong Du P. Zhong Panhe Hu 29 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 30 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 27 105 0 27 Oct 2019
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training Ke Lei Morteza Mardani John M. Pauly S. Vasanawala GAN MedIm 46 64 0 15 Oct 2019
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance Jo Schlemper Ilkay Oksuz J. Clough Jinming Duan A. King Julia A. Schnabel Joseph V. Hajnal Daniel Rueckert 14 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 33 61 0 24 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing Daniel Rueckert Julia A. Schnabel OOD MedIm AI4CE 28 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 16 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 20 4 0 24 Aug 2019
DirectPET: Full Size Neural Network PET Reconstruction from Sinogram Data W. Whiteley W. K. Luk J. Gregor 3DV AI4TS 34 55 0 19 Aug 2019
Model Learning: Primal Dual Networks for Fast MR imaging Jing Cheng Haifeng Wang L. Ying Dong Liang MedIm 28 67 0 07 Aug 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 36 37 0 01 Aug 2019
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks Dong Liang Jing Cheng Ziwen Ke L. Ying 22 56 0 26 Jul 2019
Learning with Known Operators reduces Maximum Training Error Bounds Andreas Maier Christopher Syben Bernhard Stimpel Tobias Würfl M. Hoffmann Frank Schebesch Weilin Fu L. Mill L. Kling S. Christiansen 32 108 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 27 21 0 02 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 37 122 0 23 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo Zhang Bolei Zhou GAN DRL 30 35 0 19 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 30 190 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 25 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 Maier AI4CE 22 59 0 30 Apr 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 15 239 0 04 Apr 2019
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction Florian Knoll Kerstin Hammernik Chi Zhang S. Moeller Thomas Pock D. Sodickson Mehmet Akçakaya OOD 27 263 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 27 74 0 01 Apr 2019
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences S. Ghimire P. Gyawali Jwala Dhamala J. Sapp M. Horacek Linwei Wang DRL 26 11 0 05 Mar 2019
Deep Learning in Medical Image Registration: A Survey Grant Haskins Uwe Krüger Pingkun Yan MedIm 26 585 0 05 Mar 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition Zizhao Zhang Adriana Romero Matthew Muckley Pascal Vincent Lin Yang M. Drozdzal 19 110 0 08 Feb 2019
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery Gaurav N. Shetty Konstantinos Slavakis Abhishek Bose Ukash Nakarmi G. Scutari L. Ying 35 25 0 27 Dec 2018
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks J. Andersson H. Ahlström J. Kullberg MedIm 24 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 16 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 19 63 0 30 Nov 2018
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 24 1,609 0 25 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 36 322 0 08 Nov 2018
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential S. Ghimire P. Gyawali J. Sapp M. Horacek Linwei Wang MedIm 45 1 0 12 Oct 2018
Radon Inversion via Deep Learning Ji He Jianhua Ma MedIm 18 112 0 09 Aug 2018
Non-Learning based Deep Parallel MRI Reconstruction (NLDpMRI) A. Yazdanpanah O. Afacan Simon K. Warfield OOD 14 9 0 06 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 26 93 0 07 Jun 2018
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 29 15 0 29 May 2018
k-Space Deep Learning for Accelerated MRI Yoseob Han Leonard Sunwoo J. C. Ye 43 188 0 10 May 2018
A Deep Error Correction Network for Compressed Sensing MRI Liyan Sun Zhiwen Fan Yue Huang Xinghao Ding John Paisley MedIm 39 12 0 23 Mar 2018
Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning Y. Yoon Shujaat Khan Jaeyoung Huh J. C. Ye 29 114 0 17 Dec 2017
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks S. Dar Muzaffer Özbey Ahmet Burak Çatlı Tolga Çukur MedIm OOD 20 165 0 07 Oct 2017
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems J. C. Ye Yoseob Han Eunju Cha 38 16 0 03 Jul 2017