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Accelerated MRI shortens acquisition time by subsampling in the measurement $\kappa$-space.
A generalized gaussian image model for edge-preserving map estimation
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Image quality assessment: from error visibility to structural similarity
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Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Emmanuel J. Candès, Justin K. Romberg, and Terence Tao · 2006
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Undersampled radial mri with multiple coils. iterative image reconstruction using a total variation constraint
Kai Tobias Block, Martin Uecker, and Jens Frahm · 2007
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Compressed sensing mri
M. Lustig, D. L. Donoho, J. M. Santos, and J. M. Pauly · 2007
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Sparse mri: The application of compressed sensing for rapid mr imaging
Michael Lustig, David Donoho, and John Pauly · 2007
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Compressed sensing in dynamic mri
Urs Gamper, Peter Boesiger, and Sebastian Kozerke · 2008
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An efficient algorithm for compressed mr imaging using total variation and wavelets
Shiqian Ma, Wotao Yin, Yin Zhang, and A. Chakraborty · 2008
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Compressed-sensing mri with random encoding
J. P. Haldar, D. Hernando, and Z. Liang · 2010
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Adaptive sampling design for compressed sensing MRI
Saiprasad Ravishankar and Yoram Bresler · 2011
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Practical parallel imaging compressed sensing mri: Summary of two years of experience in accelerating body mri of pediatric patients
S. Vasanawala, M. Murphy, M. Alley, P. Lai, K. Keutzer, J. Pauly, and M. Lustig · 2011
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Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron Courville · 2013
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Variable density sampling with continuous trajectories
Nicolas Chauffert, Philippe Ciuciu, Jonas Kahn, and Pierre Weiss · 2014
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Bayesian nonparametric dictionary learning for compressed sensing MRI
Yue Huang, John W. Paisley, Qin Lin, Xinghao Ding, Xueyang Fu, and Xiao-Ping (Steven) Zhang · 2014
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Diederik P Kingma and Jimmy Ba · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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A robust adaptive sampling method for faster acquisition of mr images
Jaganathan Vellagoundar and Ramasubba Reddy Machireddy · 2015
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Fast multi-class dictionaries learning with geometrical directions in MRI reconstruction
Zhifang Zhan, Jian-Feng Cai, Di Guo, Yunsong Liu, Zhong Chen, and Xiaobo Qu · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Mastering the game of Go with deep neural networks and tree search
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Instance normalization: The missing ingredient for fast stylization
Voxelmorph: a learning framework for deformable medical image registration
Guha Balakrishnan, Amy Zhao, Mert R Sabuncu, John Guttag, and Adrian V Dalca · 2019
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Deep learning techniques for medical image segmentation: achievements and challenges
Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, and Paul Kennedy · 2019
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Self-supervised deep active accelerated mri
Kyong Hwan Jin, Michael Unser, and Kwang Moo Yi · 2019
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Data-driven design for fourier ptychographic microscopy
Michael Kellman, Emrah Bostan, Michael Chen, and Laura Waller · 2019
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Reducing uncertainty in undersampled mri reconstruction with active acquisition
Zizhao Zhang, Adriana Romero, Matthew J Muckley, Pascal Vincent, Lin Yang, and Michal Drozdzal · 2019
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Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2016
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Deep reinforcement learning with double q-learning
Hado van Hasselt, Arthur Guez, and David Silver · 2016
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Accelerating magnetic resonance imaging via deep learning
Shanshan Wang, Zhenghang Su, Leslie Ying, Xi Peng, Shun Zhu, Feng Liang, Dagan Feng, and Dong Liang · 2016
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Deep admm-net for compressive sensing MRI
Yan Yang, Jian Sun, Huibin Li, and Zongben Xu · 2016
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Learning a variational network for reconstruction of accelerated MRI data
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, and Florian Knoll · 2017
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Deep learning for undersampled MRI reconstruction
Chang Min Hyun, Hwa Pyung Kim, Sung Min Lee, Sungchul Lee, and Jin Keun Seo · 2017
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Deep residual learning for compressed sensing MRI
Dongwook Lee, Jae Jun Yoo, and Jong Chul Ye · 2017
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Compressed sensing MRI reconstruction using a generative adversarial network with a cyclic loss
Tran Minh Quan, Thanh Nguyen-Duc, and Won-Ki Jeong · 2018
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Experimental design for mri by greedy policy search
Tim Bakker, Herke van Hoof, and Max Welling · 2020
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Advancing machine learning for mr image reconstruction with an open competition: Overview of the 2019 fastmri challenge
Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael Rabbat, Aaron Defazio, Matthew J Muckley, Daniel K Sodickson, C Lawrence Zitnick, et al · 2020
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RARE: image reconstruction using deep priors learned without groundtruth
Jiaming Liu, Yu Sun, Cihat Eldeniz, Weijie Gan, Hongyu An, and Ulugbek S. Kamilov · 2020
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Active mr k-space sampling with reinforcement learning
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, and Michal Drozdzal · 2020
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End-to-end variational networks for accelerated mri reconstruction
Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, and Patricia Johnson · 2020
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Learning a probabilistic strategy for computational imaging sensor selection
H. Sun, A. V. Dalca, and K. L. Bouman · 2020
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He Sun and Katherine L Bouman · 2020
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Joint learning of cartesian under sampling andre construction for accelerated MRI
Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, and Alexander M. Bronstein · 2020
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Extending LOUPE for k-space under-sampling pattern optimization in multi-coil MRI
Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, and Yi Wang · 2020
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Sgd-net: Efficient model-based deep learning with theoretical guarantees
Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, and Ulugbek S. Kamilov · 2021
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B-spline parameterized joint optimization of reconstruction and k-space trajectories (bjork) for accelerated 2d mri, 2021
Guanhua Wang, Tianrui Luo, Jon-Fredrik Nielsen, Douglas C. Noll, and Jeffrey A. Fessler · 2021
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