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2022
(3)
2023
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2024
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Impact of deep learning architectures on accelerated cardiac T
1
mapping using MyoMapNet.
Not available
S-EPMC9532368
|
biostudies-literature
Cite
Sensitivity of Myocardial Radiomic Features to Imaging Parameters in Cardiac MR Imaging.
Not available
S-EPMC9190024
|
biostudies-literature
Cite
Reproducibility of Segmentation-based Myocardial Radiomic Features with Cardiac MRI.
Not available
S-EPMC7377242
|
biostudies-literature
Cite
Highly accelerated free-breathing real-time phase contrast cardiovascular MRI via complex-difference deep learning.
Not available
S-EPMC8145775
|
biostudies-literature
Cite
Accelerated cardiac T
1
mapping in four heartbeats with inline MyoMapNet: a deep learning-based T
1
estimation approach.
Not available
S-EPMC8734349
|
biostudies-literature
Cite
Black blood myocardial T
2
mapping.
Not available
S-EPMC6294305
|
biostudies-literature
Cite
An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance.
Not available
S-EPMC9367083
|
biostudies-literature
Cite
Accelerated Cardiac MRI Cine with Use of Resolution Enhancement Generative Adversarial Inline Neural Network.
Not available
S-EPMC10315558
|
biostudies-literature
Cite
Evidence-based consensus guidelines for the diagnosis and management of erythropoietic protoporphyria and X-linked protoporphyria.
Not available
S-EPMC9968824
|
biostudies-literature
Cite
Evidence-based consensus guidelines for the diagnosis and management of protoporphyria-related liver dysfunction in erythropoietic protoporphyria and X-linked protoporphyria.
Not available
S-EPMC10818013
|
biostudies-literature
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