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Self-supervised learning of inverse problem solvers in medical imaging

Self-supervised learning of inverse problem solvers in medical imaging

22 May 2019
Ortal Senouf
S. Vedula
Tomer Weiss
A. Bronstein
O. Michailovich
M. Zibulevsky
    SSL
ArXiv (abs)PDFHTML

Papers citing "Self-supervised learning of inverse problem solvers in medical imaging"

8 / 8 papers shown
Title
Robust Inverse Framework using Knowledge-guided Self-Supervised
  Learning: An application to Hydrology
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology
Rahul Ghosh
Arvind Renganathan
Kshitij Tayal
Xiang Li
A. Khandelwal
X. Jia
C. Duffy
J. Neiber
Vipin Kumar
111
23
0
14 Sep 2021
Solving inverse problems with deep neural networks driven by sparse
  signal decomposition in a physics-based dictionary
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary
Gaëtan Rensonnet
Louise Adam
Benoit Macq
MedIm
62
6
0
16 Jul 2021
End-to-end reconstruction meets data-driven regularization for inverse
  problems
End-to-end reconstruction meets data-driven regularization for inverse problems
Subhadip Mukherjee
M. Carioni
Ozan Oktem
Carola-Bibiane Schönlieb
68
40
0
07 Jun 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction
  and Enhancement
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement
Mehmet Akccakaya
Burhaneddin Yaman
Hyungjin Chung
Jong Chul Ye
MedIm
110
56
0
17 May 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction
Zero-Shot Self-Supervised Learning for MRI Reconstruction
Burhaneddin Yaman
S. A. Hosseini
Mehmet Akçakaya
100
71
0
15 Feb 2021
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks
  in Highly Accelerated MRI
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI
Burhaneddin Yaman
Hongyi Gu
S. A. Hosseini
Omer Burak Demirel
S. Moeller
J. Ellermann
K. Uğurbil
Mehmet Akçakaya
OOD
105
39
0
13 Aug 2020
Integrating Scientific Knowledge with Machine Learning for Engineering
  and Environmental Systems
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
158
415
0
10 Mar 2020
Learned SVD: solving inverse problems via hybrid autoencoding
Learned SVD: solving inverse problems via hybrid autoencoding
Y. Boink
Christoph Brune
29
13
0
20 Dec 2019
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