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 …
[HTML][HTML] Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
The full acceptance of Deep Learning (DL) models in the clinical field is rather low with
respect to the quantity of high-performing solutions reported in the literature. End users are …
respect to the quantity of high-performing solutions reported in the literature. End users are …
Present and future innovations in AI and cardiac MRI
MA Morales, WJ Manning, R Nezafat - Radiology, 2024 - pubs.rsna.org
Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …
TMS-Net: A segmentation network coupled with a run-time quality control method for robust cardiac image segmentation
F Uslu, AA Bharath - Computers in Biology and Medicine, 2023 - Elsevier
Recently, deep networks have shown impressive performance for the segmentation of
cardiac Magnetic Resonance Imaging (MRI) images. However, their achievement is proving …
cardiac Magnetic Resonance Imaging (MRI) images. However, their achievement is proving …
[HTML][HTML] Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision …
Deep learning-based methods for cardiac MR segmentation have achieved state-of-the-art
results. However, these methods can generate incorrect segmentation results which can …
results. However, these methods can generate incorrect segmentation results which can …
Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging
A growing number of artificial intelligence (AI)-based systems are being proposed and
developed in cardiology, driven by the increasing need to deal with the vast amount of …
developed in cardiology, driven by the increasing need to deal with the vast amount of …
Abc-based weighted voting deep ensemble learning model for multiple eye disease detection
Background and objective The unique organ that provides vision is eye and there are
various disorders cause visual impairment. Therefore, the identification of eye diseases in …
various disorders cause visual impairment. Therefore, the identification of eye diseases in …