AIMC Topic: Gadolinium

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GTM-Based QSAR Models and Their Applicability Domains.

Molecular informatics Feb 3, 2015
In this paper we demonstrate that Generative Topographic Mapping (GTM), a machine learning method traditionally used for data visualisation, can be efficiently applied to QSAR modelling using probability distribution functions (PDF) computed in the l...
Models, Chemical Calcium Humans Thrombin Machine Learning Lutetium Databases, Chemical Gadolinium
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Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images.

Medical image analysis Jul 1, 2025
Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) imaging is considered the in vivo reference standard for assessing infarct size (IS) and microvascular obstruction (MVO) in ST-elevation myocardial infarction (STEMI) patients. Howeve...
Cicatrix ST Elevation Myocardial Infarction Contrast Media Magnetic Resonance Imaging Gadolinium Image Enhancement Myocardial Infarction Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional
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Deep learning for automatic volumetric segmentation of left ventricular myocardium and ischaemic scar from multi-slice late gadolinium enhancement cardiovascular magnetic resonance.

European heart journal. Cardiovascular Imaging May 31, 2024
AIMS: This study details application of deep learning for automatic volumetric segmentation of left ventricular (LV) myocardium and scar and automated quantification of myocardial ischaemic scar burden from late gadolinium enhancement cardiovascular ...
Aged Male Humans Female Contrast Media Cicatrix Middle Aged Deep Learning Myocardial Ischemia Heart Ventricles Magnetic Resonance Imaging, Cine Gadolinium
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Can Deep Learning Replace Gadolinium in Neuro-Oncology?: A Reader Study.

Investigative radiology Feb 1, 2022
MATERIALS AND METHODS: This monocentric retrospective study leveraged 200 multiparametric brain MRIs acquired between November 2019 and February 2020 at Gustave Roussy Cancer Campus (Villejuif, France). A total of 145 patients were included: 107 form...
Deep Learning Contrast Media Magnetic Resonance Imaging Gadolinium Female Brain Neoplasms Retrospective Studies Humans
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[Early Assessment of Myocardial Fibrosis of Hypertrophic Cardiomyopathy with Native-T1-Mapping-Based Deep Learning: A Preliminary Study].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Sep 1, 2021
OBJECTIVE: To explore the diagnostic performance of deep learning (DL) model in early detection of the interstitial myocardial fibrosis using native T1 maps of hypertrophic cardiomyopathy (HCM) without late gadolinium enhancement (LGE).
Fibrosis Cardiomyopathy, Hypertrophic Gadolinium Deep Learning Contrast Media Humans
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[Late gadolinium enhancement and T1 mapping for the diagnosis of cardiac amyloidosis].

Zhonghua wei zhong bing ji jiu yi xue Dec 1, 2019
OBJECTIVE: To explore the role of late gadolinium enhancement (LGE) and T1 mapping for detection of cardiac amyloidosis.
Myocardium Heart Amyloidosis Gadolinium Contrast Media Predictive Value of Tests Humans
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Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network.

IEEE transactions on medical imaging Feb 1, 2019
Atrial fibrillation (AF) is the most prevalent form of cardiac arrhythmia. Current treatments for AF remain suboptimal due to a lack of understanding of the underlying atrial structures that directly sustain AF. Existing approaches for analyzing atri...
Imaging, Three-Dimensional Magnetic Resonance Imaging Atrial Fibrillation Heart Atria Neural Networks, Computer Algorithms Humans Gadolinium
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