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Purpose: To systematically investigate the influence of various data consistency layers, (semi-)supervised learning and ensembling strategies, defined in a $\Sigma$-net, for accelerated parallel MR image reconstruction using deep learning.
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Kwon K, Kim D, Park H · 2017
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Deep Generative Adversarial Neural Networks for Compressive Sensing (GANCS) MRI
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MoDL: Model Based Deep Learning Architecture for Inverse Problems
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Deep Convolutional Neural Network for Inverse Problems in Imaging
Jin KH, McCann MT, Froustey E, Unser M · 2017
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Deep residual learning for compressed sensing MRI
Lee D, Yoo J, Ye JC · 2017
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Trabelsi C, Bilaniuk O, Zhang Y, Serdyuk D, Subramanian S, Santos JF, Mehri S, Rostamzadeh N, Bengio Y, Pal CJ · 2017
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Densely Connected Convolutional Networks
Huang G, Liu Z, Van Der Maaten L, Weinberger KQ · 2017
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Least Squares Generative Adversarial Networks
Mao X, Li Q, Xie H, Lau RYK, Wang Z, Smolley SP · 2017
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Ledig C, Theis L, Huszár F, Caballero J, Cunningham A, Acosta A, Aitken A, Tejani A, Totz J, Wang Z, Shi Twitter W · 2017
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A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction
Souza R, Lebel RM, Frayne R, Ca R · 2019
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Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging
Akçakaya M, Moeller S, Weingärtner S, Uğurbil K · 2019
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DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution
Wang S, Cheng H, Ying L, Xiao T, Ke Z, Liu X, Zheng H, Liang D · 2019
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A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction
Sun L, Fan Z, Fu X, Huang Y, Ding X, Paisley J · 2019
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Joint multi-contrast Variational Network reconstruction (jVN) with application to rapid 2D and 3D imaging
Polak D, Cauley S, Bilgic B, Gong E, Bachert P, Adalsteinsson E, Setsompop K · 2019
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Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
Qin C, Schlemper J, Caballero J, Price AN, Hajnal JV, Rueckert D · 2019
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k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations
Qin C, Schlemper J, Duan J, Seegoolam G, Price A, Hajnal J, Rueckert D · 2019
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Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression Using Deep Learning-Proof of Concept in Congenital Heart Disease
Hauptmann A, Arridge S, Lucka F, Muthurangu V, Steeden JA · 2019
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Time-Dependent Deep Image Prior for Dynamic MRI
Jin KH, Gupta H, Yerly J, Stuber M, Unser M · 2019
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Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data
Kofler A, Dewey M, Schaeffter T, Wald C, Kolbitsch C · 2019
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Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Knoll F, Hammernik K, Zhang C, Moeller S, Pock T, Sodickson DK, Akcakaya M · 2019
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Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks
Liang D, Cheng J, Ke Z, Ying L · 2019
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An overview of deep learning in medical imaging focusing on MRI
Lundervold AS, Lundervold A · 2019
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Invert to Learn to Invert
Putzky P, Welling M · 2019
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Adaptive Compressed Sensing MRI with Unsupervised Learning
Bahadir CD, Dalca AV, Sabuncu MR · 2019
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GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
Sriram A, Zbontar J, Murrell T, Zitnick CL, Defazio A, Sodickson DK · 2019
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Pyramid Convolutional RNN for MRI Reconstruction
Wang P, Chen EZ, Chen T, Patel VM, Sun S · 2019
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Data Consistency Networks for (Calibration-less) Accelerated Parallel MR Image Reconstruction
Schlemper J, Duan J, Ouyang C, Qin C, Caballero J, Hajnal JV, Rueckert D · 2019
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VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction
Duan J, Schlemper J, Qin C, Ouyang C, Bai W, Biffi C, Bello G, Statton B, O’Regan DP, Rueckert D · 2019
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Σ \Sigma -net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction
Schlemper J, Qin C, Duan J, Summers RM, Hammernik K · 2019
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Deep Iterative Down-Up CNN for Image Denoising
Yu S, Park B, Jeong J · 2019
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NTIRE 2019 Challenge on Real Image Denoising: Methods and Results
Abdelhamed A, Timofte R, Brown MS · 2019
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DeepRED: Deep Image Prior Powered by RED
Mataev G, Elad M, Milanfar P · 2019
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