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CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping

21 February 2025
Xiaojian Xu
Weijie Gan
Satya V. V. N. Kothapalli
D. Yablonskiy
Ulugbek S. Kamilov
    MedIm
ArXivPDFHTML

Papers citing "CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping"

5 / 5 papers shown
Title
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion
  Score Blending for 3D Computed Tomography Reconstruction
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
Bowen Song
Jason Hu
Zhaoxu Luo
Jeffrey A. Fessler
Liyue Shen
MedIm
DiffM
23
7
0
14 Jun 2024
Learning Image Priors through Patch-based Diffusion Models for Solving
  Inverse Problems
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
Jason Hu
Bowen Song
Xiaojian Xu
Liyue Shen
Jeffrey A. Fessler
MedIm
DiffM
23
8
0
04 Jun 2024
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative
  MRI Reconstruction
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction
F. Zimmermann
C. Kolbitsch
Patrick Schuenke
A. Kofler
6
5
0
19 Jun 2023
Learning Task-Specific Strategies for Accelerated MRI
Learning Task-Specific Strategies for Accelerated MRI
Zihui Wu
Tianwei Yin
Yu Sun
R. Frost
A. Kouwe
Adrian V. Dalca
Katherine L. Bouman
12
4
0
25 Apr 2023
Deep Learning with Domain Adaptation for Accelerated
  Projection-Reconstruction MR
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
Yoseob Han
J. Yoo
J. C. Ye
MedIm
OOD
90
230
0
03 Mar 2017
1