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Stochastic Gradient Langevin dynamics for joint parameterization of tracer kinetic models, input functions, and T1 relaxation-times from undersampled k-space DCE-MRI
Medical Image Analysis
◽
10.1016/j.media.2020.101690
◽
2020
◽
Vol 62
◽
pp. 101690
◽
Cited By ~ 1
Author(s):
Nikolaos Dikaios
Keyword(s):
Kinetic Models
◽
Relaxation Times
◽
Langevin Dynamics
◽
Stochastic Gradient
◽
Dce Mri
◽
T1 Relaxation
◽
Tracer Kinetic
Download Full-text
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References
Tracer kinetic models as temporal constraints during brain tumor DCE‐MRI reconstruction
Medical Physics
◽
10.1002/mp.13885
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2019
◽
Vol 47
(1)
◽
pp. 37-51
Author(s):
Sajan Goud Lingala
◽
Yi Guo
◽
Yannick Bliesener
◽
Yinghua Zhu
◽
R. Marc Lebel
◽
...
Keyword(s):
Brain Tumor
◽
Kinetic Models
◽
Temporal Constraints
◽
Dce Mri
◽
Tracer Kinetic
◽
Mri Reconstruction
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Evaluation of Different Tracer Kinetic Models in DCE-MRI of Rectal Cancer
IFMBE Proceedings - World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
◽
10.1007/978-3-642-03879-2_11
◽
2009
◽
pp. 34-37
Author(s):
M. Sansone
◽
R. Fusco
◽
F. Aprile
◽
M. Petrillo
◽
A. Petrillo
◽
...
Keyword(s):
Rectal Cancer
◽
Kinetic Models
◽
Dce Mri
◽
Tracer Kinetic
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Use of Tracer Kinetic Models for Selection of Semi-Quantitative Features for DCE-MRI Data Classification
Applied Magnetic Resonance
◽
10.1007/s00723-013-0481-7
◽
2013
◽
Vol 44
(11)
◽
pp. 1311-1324
◽
Cited By ~ 21
Author(s):
R. Fusco
◽
A. Petrillo
◽
M. Petrillo
◽
M. Sansone
Keyword(s):
Kinetic Models
◽
Data Classification
◽
Dce Mri
◽
Tracer Kinetic
◽
Selection Of
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Parameter Comparison Between Fast-Water-Exchange-Limit-Constrained Standard and Water-Exchange-Modified Dual-Input Tracer Kinetic Models for DCE-MRI in Advanced Hepatocellular Carcinoma
Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications
◽
10.1007/978-3-319-13692-9_4
◽
2014
◽
pp. 33-47
Author(s):
Sang Ho Lee
◽
Koichi Hayano
◽
Dushyant V. Sahani
◽
Andrew X. Zhu
◽
Hiroyuki Yoshida
Keyword(s):
Hepatocellular Carcinoma
◽
Kinetic Models
◽
Water Exchange
◽
Advanced Hepatocellular Carcinoma
◽
Dce Mri
◽
Tracer Kinetic
Download Full-text
Reproducibility of T1 relaxation times in diagnostic MRI: A phantom study
Physics in Medicine
◽
10.1016/j.phmed.2021.100038
◽
2021
◽
pp. 100038
Author(s):
Derick Yongabi
◽
Nathalie Mertens
◽
Ronald Peeters
Keyword(s):
Relaxation Times
◽
Phantom Study
◽
T1 Relaxation
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QTC DISPERSION ON 12-LEAD ELECTROCARDIOGRAM IS INVERSELY CORRELATED WITH T1 RELAXATION TIMES IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY
Journal of the American College of Cardiology
◽
10.1016/s0735-1097(14)61197-9
◽
2014
◽
Vol 63
(12)
◽
pp. A1197
Author(s):
David Hurtado de Mendoza
◽
Celia P. Corona-Villalobos
◽
Styliani Vakrou
◽
Stefan L. Zimmerman
◽
Yalda Soleimanifard
◽
...
Keyword(s):
Hypertrophic Cardiomyopathy
◽
Relaxation Times
◽
Qtc Dispersion
◽
T1 Relaxation
Download Full-text
Driven-equilibrium single-pulse observation of T1 relaxation. A reevaluation of a rapid “new” method for determining NMR spin-lattice relaxation times
Journal of Magnetic Resonance (1969)
◽
10.1016/0022-2364(85)90318-x
◽
1985
◽
Vol 63
(2)
◽
pp. 287-297
◽
Cited By ~ 23
Author(s):
John Homer
◽
Martin S Beevers
Keyword(s):
Relaxation Times
◽
Single Pulse
◽
Lattice Relaxation
◽
New Method
◽
Spin Lattice Relaxation
◽
Spin Lattice
◽
T1 Relaxation
Download Full-text
Influence of transition metal ions on NMR proton T1 relaxation times of serum, blood, and red cells
Biological Trace Element Research
◽
10.1007/bf02784073
◽
1999
◽
Vol 67
(2)
◽
pp. 187-193
◽
Cited By ~ 13
Author(s):
A. Yilmaz
◽
M. Yurdakoç
◽
B. Işik
Keyword(s):
Transition Metal
◽
Metal Ions
◽
Relaxation Times
◽
Transition Metal Ions
◽
Red Cells
◽
T1 Relaxation
Download Full-text
Evaluating and Diagnosing Convergence for Stochastic Gradient Langevin Dynamics
10.1109/sccc54552.2021.9650355
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2021
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Author(s):
Sergio Hernandez
◽
Juan Luis Lopez
Keyword(s):
Langevin Dynamics
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Stochastic Gradient
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Hybrid deterministic-stochastic gradient Langevin dynamics for Bayesian learning
Communications in Information and Systems
◽
10.4310/cis.2012.v12.n3.a3
◽
2012
◽
Vol 12
(3)
◽
pp. 221-232
Author(s):
Qi He
◽
Jack Xin
Keyword(s):
Bayesian Learning
◽
Langevin Dynamics
◽
Stochastic Gradient
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