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Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without
  Fully-Sampled Data

Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data

21 October 2019
Burhaneddin Yaman
S. A. Hosseini
S. Moeller
J. Ellermann
K. Uğurbil
Mehmet Akçakaya
    OOD
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Papers citing "Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data"

12 / 12 papers shown
Title
Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI
Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI
Merve Gülle
Sebastian Weingärtner
Mehmet Akçakaya
46
0
0
01 May 2025
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
George Yiasemis
J. Sonke
Jonas Teuwen
70
0
0
27 Nov 2024
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient
  Descent over K-space Subsets
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets
Frédéric Wang
Han Qi
A. D. Goyeneche
Reinhard Heckel
Michael Lustig
Efrat Shimron
25
5
0
05 Aug 2023
Self-Score: Self-Supervised Learning on Score-Based Models for MRI
  Reconstruction
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
Zhuoxu Cui
Chentao Cao
Shaonan Liu
Qingyong Zhu
Jing Cheng
Haifeng Wang
Yanjie Zhu
Dong Liang
DiffM
MedIm
39
36
0
02 Sep 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate
  Training
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao
Beidi Chen
N. Sohoni
Arjun D Desai
Michael Poli
Jessica Grogan
Alexander Liu
Aniruddh Rao
Atri Rudra
Christopher Ré
22
87
0
01 Apr 2022
K-space and Image Domain Collaborative Energy based Model for Parallel
  MRI Reconstruction
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction
Zongjiang Tu
Chenbo Jiang
Yu Guan
Shanshan Wang
Jijun Liu
Qiegen Liu
Dong Liang
MedIm
32
16
0
21 Mar 2022
Survey of Deep Learning Methods for Inverse Problems
Survey of Deep Learning Methods for Inverse Problems
S. Kamyab
Zihreh Azimifar
Rasool Sabzi
Paul Fieguth
14
3
0
07 Nov 2021
Deformation-Compensated Learning for Image Reconstruction without Ground
  Truth
Deformation-Compensated Learning for Image Reconstruction without Ground Truth
Weijie Gan
Yu Sun
C. Eldeniz
Jiaming Liu
H. An
Ulugbek S. Kamilov
18
12
0
12 Jul 2021
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised
  Deep Learning
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
11
11
0
10 May 2021
Deep Image Reconstruction using Unregistered Measurements without
  Groundtruth
Deep Image Reconstruction using Unregistered Measurements without Groundtruth
Weijie Gan
Yu Sun
C. Eldeniz
Jiaming Liu
H. An
Ulugbek S. Kamilov
3DV
9
12
0
29 Sep 2020
Learning the geometry of wave-based imaging
Learning the geometry of wave-based imaging
K. Kothari
Maarten V. de Hoop
Ivan Dokmanić
AI4CE
13
8
0
10 Jun 2020
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific
  Fine-Tuning of Physics-Based Neural Networks
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks
S. A. Hosseini
Burhaneddin Yaman
S. Moeller
Mehmet Akçakaya
17
7
0
12 May 2020
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