Multiparametric cardiovascular magnetic resonance approach in diagnosing, monitoring, and prognostication of myocarditis
C Eichhorn, S Greulich, C Bucciarelli-Ducci… - Cardiovascular …, 2022 - jacc.org
Myocarditis represents the entity of an inflamed myocardium and is a diagnostic challenge
caused by its heterogeneous presentation. Contemporary noninvasive evaluation of patients …
caused by its heterogeneous presentation. Contemporary noninvasive evaluation of patients …
[HTML][HTML] Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic …
Abstract Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has
affected nearly 600 million people to date across the world. While COVID-19 is primarily a …
affected nearly 600 million people to date across the world. While COVID-19 is primarily a …
Toward replacing late gadolinium enhancement with artificial intelligence virtual native enhancement for gadolinium-free cardiovascular magnetic resonance tissue …
Q Zhang, MK Burrage, E Lukaschuk… - Circulation, 2021 - Am Heart Assoc
Background: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance
(CMR) imaging is the gold standard for noninvasive myocardial tissue characterization but …
(CMR) imaging is the gold standard for noninvasive myocardial tissue characterization but …
Artificial intelligence for contrast-free MRI: scar assessment in myocardial infarction using deep learning–based virtual native enhancement
Background: Myocardial scars are assessed noninvasively using cardiovascular magnetic
resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast …
resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast …
Explainable artificial intelligence and cardiac imaging: toward more interpretable models
Artificial intelligence applications have shown success in different medical and health care
domains, and cardiac imaging is no exception. However, some machine learning models …
domains, and cardiac imaging is no exception. However, some machine learning models …
[HTML][HTML] Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI
MA Al-Masni, S Lee, J Yi, S Kim, SM Gho, YH Choi… - NeuroImage, 2022 - Elsevier
Abstract Magnetic Resonance Imaging (MRI) is sensitive to motion caused by patient
movement due to the relatively long data acquisition time. This could cause severe …
movement due to the relatively long data acquisition time. This could cause severe …
[HTML][HTML] Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach
Purpose To develop and evaluate MyoMapNet, a rapid myocardial T 1 mapping approach
that uses fully connected neural networks (FCNN) to estimate T 1 values from four T 1 …
that uses fully connected neural networks (FCNN) to estimate T 1 values from four T 1 …
[PDF][PDF] Automatic out-of-distribution detection methods for improving the deep learning classification of pulmonary X-ray images
AA Dovganich, AV Khvostikov, YA Pchelintsev… - Journal of Image and …, 2022 - joig.net
In this paper, we investigated the possibility of using medical differential criteria to determine
the level of radiation in X-ray images of the lungs. We developed a new method for …
the level of radiation in X-ray images of the lungs. We developed a new method for …
[HTML][HTML] Magnetic resonance myocardial T1ρ mapping: Technical overview, challenges, emerging developments, and clinical applications
The potential of cardiac magnetic resonance to improve cardiovascular care and patient
management is considerable. Myocardial T1-rho (T1ρ) mapping, in particular, has emerged …
management is considerable. Myocardial T1-rho (T1ρ) mapping, in particular, has emerged …
Stress CMR in known or suspected CAD: diagnostic and prognostic role
F Baessato, M Guglielmo, G Muscogiuri… - BioMed Research …, 2021 - Wiley Online Library
The recently published 2019 guidelines on chronic coronary syndromes (CCS) focus on the
need for noninvasive imaging modalities to accurately establish the diagnosis of coronary …
need for noninvasive imaging modalities to accurately establish the diagnosis of coronary …