Title
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 75 81 0 07 May 2020
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI Iris A. M. Huijben Bastiaan S. Veeling Ruud J. G. van Sloun 95 33 0 22 Apr 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction Nicola Pezzotti Sahar Yousefi Mohamed S. Elmahdy J. V. Gemert C. Schulke ... Sergey Kastryulin B. Lelieveldt M. Osch E. Weerdt Marius Staring 70 100 0 15 Apr 2020
End-to-End Variational Networks for Accelerated MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell Aaron Defazio C. L. Zitnick N. Yakubova Florian Knoll Patricia M. Johnson DRL 94 318 0 14 Apr 2020
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction Eunju Cha Gyutaek Oh J. C. Ye 108 12 0 17 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 119 189 0 10 Mar 2020
Deep Learning for Biomedical Image Reconstruction: A Survey Hanene Ben Yedder Ben Cardoen Ghassan Hamarneh MedIm 3DV 124 97 0 26 Feb 2020
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction Jiangpeng Yan Shuo Chen Yongbing Zhang Xiu Li 53 24 0 22 Feb 2020
Learning to Predict Error for MRI Reconstruction Shi Hu Nicola Pezzotti Max Welling UQCV 59 14 0 13 Feb 2020
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks Sayantan Bhadra Weimin Zhou M. Anastasio MedIm GAN 58 28 0 27 Jan 2020
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements Weimin Zhou Sayantan Bhadra F. Brooks Hua Li M. Anastasio GAN MedIm 33 6 0 26 Jan 2020
MRI Banding Removal via Adversarial Training Aaron Defazio Tullie Murrell M. Recht MedIm 65 16 0 23 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 150 214 0 06 Jan 2020
$Σ$ -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 68 24 0 18 Dec 2019
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms S. A. Hosseini Burhaneddin Yaman S. Moeller Mingyi Hong Mehmet Akçakaya AI4CE 65 8 0 16 Dec 2019
$Σ$ -net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction Jo Schlemper C. Qin Jinming Duan Ronald M. Summers Kerstin Hammernik 69 12 0 11 Dec 2019
Offset Sampling Improves Deep Learning based Accelerated MRI Reconstructions by Exploiting Symmetry Aaron Defazio 46 8 0 02 Dec 2019
Pyramid Convolutional RNN for MRI Image Reconstruction Eric Z. Chen Puyang Wang Xiao Chen Terrence Chen Shanhui Sun 86 44 0 02 Dec 2019
Artificial Intelligence in Glioma Imaging: Challenges and Advances Weina Jin M. Fatehi Kumar Abhishek Mayur Mallya B. Toyota Ghassan Hamarneh 91 42 0 28 Nov 2019
Invert to Learn to Invert P. Putzky Max Welling 71 76 0 25 Nov 2019
Reinventing 2D Convolutions for 3D Images Jiancheng Yang Xiaoyang Huang Yi He Jingwei Xu Canqian Yang Guozheng Xu Bingbing Ni 98 11 0 24 Nov 2019
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting F. Balsiger Alain Jungo Olivier Scheidegger P. Carlier M. Reyes B. Marty 64 26 0 09 Nov 2019
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction R. Souza M. Bento N. Nogovitsyn K. J. Chung R. Lebel Richard Frayne 82 59 0 04 Nov 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 151 106 0 27 Oct 2019
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data Burhaneddin Yaman S. A. Hosseini S. Moeller J. Ellermann K. Uğurbil Mehmet Akçakaya OOD 123 82 0 21 Oct 2019
i-RIM applied to the fastMRI challenge P. Putzky D. Karkalousos Jonas Teuwen Nikita Miriakov Bart Bakker M. Caan Max Welling 73 39 0 20 Oct 2019
Organ-based Chronological Age Estimation based on 3D MRI Scans Karim Armanious Sherif Abdulatif Anish Rao Bhaktharaguttu Thomas Kustner Tobias Hepp S. Gatidis Bin Yang MedIm 31 0 0 14 Oct 2019
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods Johannes Leuschner Maximilian Schmidt Daniel Otero Baguer Peter Maass 79 32 0 01 Oct 2019
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems Byeongsu Sim Gyutaek Oh Sungjun Lim Chanyong Jung J. C. Ye GAN MedIm 153 22 0 25 Sep 2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang 67 61 0 24 Sep 2019
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI Tomer Weiss Ortal Senouf S. Vedula O. Michailovich M. Zibulevsky A. Bronstein MedIm 150 79 0 12 Sep 2019
MRI Reconstruction Using Deep Bayesian Estimation Guanxiong Luo Na Zhao Wenhao Jiang E. Hui Peng Cao MedIm 106 60 0 03 Sep 2019
Exploring large scale public medical image datasets Luke Oakden-Rayner 73 176 0 30 Jul 2019
Deep-learning-based Optimization of the Under-sampling Pattern in MRI C. D. Bahadir Alan Q. Wang Adrian Dalca M. Sabuncu 51 9 0 26 Jul 2019
Regularizing linear inverse problems with convolutional neural networks Reinhard Heckel 60 22 0 06 Jul 2019
MRI Super-Resolution with Ensemble Learning and Complementary Priors Qing Lyu Hongming Shan Ge Wang MedIm SupR 78 100 0 06 Jul 2019
Self-supervised learning of inverse problem solvers in medical imaging Ortal Senouf S. Vedula Tomer Weiss A. Bronstein O. Michailovich M. Zibulevsky SSL 56 35 0 22 May 2019
Joint learning of cartesian undersampling and reconstruction for accelerated MRI Tomer Weiss S. Vedula Ortal Senouf O. Michailovich M. Zibulevsky A. Bronstein 77 25 0 22 May 2019
Block Coordinate Regularization by Denoising Yu Sun Jiaming Liu Ulugbek S. Kamilov 89 84 0 13 May 2019
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field Yicheng Chen A. Jakary Sivakami Avadiappan Christopher P. Hess J. Lupo MedIm 65 60 0 08 May 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 130 245 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 95 270 0 01 Apr 2019
Plug and play methods for magnetic resonance imaging (long version) Rizwan Ahmad Charles A. Bouman G. Buzzard Stanley H. Chan Sizhuo Liu E. T. Reehorst Philip Schniter 145 197 0 20 Mar 2019
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning Joseph Y. Cheng Feiyu Chen Christopher M. Sandino Morteza Mardani John M. Pauly S. Vasanawala 73 12 0 19 Mar 2019
EvalAI: Towards Better Evaluation Systems for AI Agents Deshraj Yadav Rishabh Jain Harsh Agrawal Prithvijit Chattopadhyay Taranjeet Singh Akash Jain Shivkaran Singh Stefan Lee Dhruv Batra ELM 70 57 0 10 Feb 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition Zizhao Zhang Adriana Romero Matthew Muckley Pascal Vincent Lin Yang M. Drozdzal 135 110 0 08 Feb 2019
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI Thomas Sanchez Baran Gözcü R. Heeswijk Armin Eftekhari E. Ilıcak Tolga Çukur Volkan Cevher 66 30 0 01 Feb 2019
Learning-based Optimization of the Under-sampling Pattern in MRI C. D. Bahadir Adrian Dalca M. Sabuncu 124 115 0 07 Jan 2019
Soft Autoencoder and Its Wavelet Adaptation Interpretation Fenglei Fan Mengzhou Li Yueyang Teng Ge Wang 57 3 0 31 Dec 2018