Data augmentation for deep learning based accelerated MRI reconstruction with limited data

28 June 2021

Papers citing "Data augmentation for deep learning based accelerated MRI reconstruction with limited data"

23 / 23 papers shown

Title
Accelerated MRI with Un-trained Neural Networks Mohammad Zalbagi Darestani Reinhard Heckel 19 4 0 06 Jul 2020
Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 72 603 0 18 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 103 1,869 0 11 Jun 2020
Image Augmentations for GAN Training Zhengli Zhao Zizhao Zhang Ting-Li Chen Sameer Singh Han Zhang 38 137 0 04 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 38 526 0 12 May 2020
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 46 81 0 07 May 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 22 314 0 14 Apr 2020
Invert to Learn to Invert P. Putzky Max Welling 21 75 0 25 Nov 2019
Time-Dependent Deep Image Prior for Dynamic MRI Mikhail O. Chekanov Kyong Hwan Jin Harshit Gupta Jerome Yerly M. Stuber M. Unser MedIm 45 154 0 03 Oct 2019
SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction Fang Liu Lihua Chen Richard Kijowski Li Feng 30 58 0 08 Dec 2018
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 28 836 0 21 Nov 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 55 284 0 02 Oct 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 59 6,066 0 18 Jul 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 45 181 0 17 Jun 2018
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks Dongwook Lee Jaejun Yoo S. Tak J. C. Ye OOD 41 297 0 02 Apr 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 93 3,128 0 29 Nov 2017
A Bayesian Data Augmentation Approach for Learning Deep Models Toan M. Tran Trung T. Pham G. Carneiro L. Palmer Ian Reid 46 233 0 29 Oct 2017
Deep learning for undersampled MRI reconstruction Chang Min Hyun Hwa Pyung Kim S. Lee Sungchul Lee J.K. Seo 28 454 0 08 Sep 2017
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT Yoseob Han J. C. Ye 38 515 0 28 Aug 2017
Smart Augmentation - Learning an Optimal Data Augmentation Strategy Joseph Lemley S. Bazrafkan Peter Corcoran 42 373 0 24 Mar 2017
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction Jo Schlemper Jose Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert 70 348 0 01 Mar 2017
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 119 6,483 0 21 Jun 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 930 76,547 0 18 May 2015