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Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI

13 August 2020

Papers citing "Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI"

31 / 31 papers shown

Title
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference Haoyang Pei Ding Xia Xiang Xu William Moore Yao Wang Hersh Chandarana Li Feng 76 0 0 09 May 2025
Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI Merve Gülle Sebastian Weingärtner Mehmet Akçakaya 83 0 0 01 May 2025
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI Hongyi Gu Chi Zhang Zidan Yu C. Rettenmeier V. A. Stenger Mehmet Akçakaya OOD 30 2 0 09 Dec 2023
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise Charles Millard M. Chiew 88 37 0 20 May 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging Kerstin Hammernik Thomas Kustner Burhaneddin Yaman Zhengnan Huang Daniel Rueckert Florian Knoll Mehmet Akçakaya PINN MedIm AI4CE 82 73 0 23 Mar 2022
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 106 193 0 15 May 2021
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction Omer Burak Demirel Burhaneddin Yaman Logan T Dowdle S. Moeller L. Vizioli E. Yacoub J. Strupp C. Olman Kamil Uugurbil Mehmet Akccakaya 74 20 0 12 May 2021
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning Omer Burak Demirel Burhaneddin Yaman Logan T Dowdle S. Moeller L. Vizioli E. Yacoub J. Strupp C. Olman Kamil Uugurbil Mehmet Akccakaya 57 11 0 10 May 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 87 70 0 15 Feb 2021
Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR Burhaneddin Yaman C. Shenoy Zilin Deng S. Moeller Hossam El-Rewaidy R. Nezafat Mehmet Akçakaya MedIm 142 19 0 18 Nov 2020
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking Burhaneddin Yaman S. A. Hosseini S. Moeller Mehmet Akçakaya AI4CE 60 4 0 26 Oct 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian Dalca M. Sabuncu 72 26 0 29 Jul 2020
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 26 3 0 16 Jun 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 89 456 0 31 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 132 213 0 06 Jan 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 100 1,022 0 22 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 51 8 0 16 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 105 1,453 0 04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 204 12,085 0 13 Nov 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 115 82 0 21 Oct 2019
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training Ke Lei Morteza Mardani John M. Pauly S. Vasanawala GAN MedIm 91 65 0 15 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 118 22 0 25 Sep 2019
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations C. Qin Jo Schlemper Jinming Duan Gavin Seegoolam Anthony N. Price Joseph V. Hajnal Daniel Rueckert MedIm 25 32 0 22 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 42 34 0 22 May 2019
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling Bihan Wen Yanjun Li Y. Bresler 56 11 0 03 Aug 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 143 1,020 0 07 Dec 2017
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction C. Qin Jo Schlemper Jose Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert MedIm 82 500 0 05 Dec 2017
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 125 3,156 0 29 Nov 2017
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks S. Dar Muzaffer Özbey Ahmet Burak Çatlı Tolga Çukur MedIm OOD 98 166 0 07 Oct 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 75 1,542 0 03 Apr 2017
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications Bihan Wen S. Ravishankar Y. Bresler 59 43 0 19 Nov 2015