Single-pass Object-adaptive Data Undersampling and Reconstruction for
MRI

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Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI

17 November 2021

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Papers citing "Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI"

16 / 16 papers shown

Title
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 71 20 0 13 May 2021
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond Zhishen Huang Siqi Ye Michael T. McCann S. Ravishankar MedIm 46 10 0 26 Mar 2021
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 183 250 0 23 Dec 2020
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI Jinwei Zhang Hang Zhang Alan Q. Wang Qihao Zhang M. Sabuncu P. Spincemaille Thanh D. Nguyen Yi Wang 82 35 0 28 Jul 2020
Active MR k-space Sampling with Reinforcement Learning Luis Villaseñor-Pineda Sumana Basu Adriana Romero Roberto Calandra M. Drozdzal 68 71 0 20 Jul 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 93 535 0 12 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 80 33 0 22 Apr 2020
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI Tomer Weiss Ortal Senouf S. Vedula O. Michailovich M. Zibulevsky A. Bronstein MedIm 124 79 0 12 Sep 2019
Learning the Sampling Pattern for MRI Ferdia Sherry Martin Benning J. D. L. Reyes M. Graves G. Maierhofer Guy B. Williams Carola-Bibiane Schönlieb Matthias Joachim Ehrhardt MedIm 86 71 0 20 Jun 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 111 244 0 04 Apr 2019
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks Bihan Wen S. Ravishankar L. Pfister Y. Bresler MedIm 62 64 0 25 Mar 2019
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions Zhishen Huang Stephen Becker 26 8 0 24 Jan 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 75 850 0 21 Nov 2018
Learning-Based Compressive MRI Baran Gözcü Rabeeh Karimi Mahabadi Yen-Huan Li E. Ilıcak Tolga Çukur Jonathan Scarlett Volkan Cevher 67 121 0 03 May 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 398 3,157 0 15 Aug 2013

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