[HTML][HTML] Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …
components across multiple spatial (from ion channel to organ) and temporal (from …
Artificial intelligence in cardiac radiology
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its
implementation will be focused on the automatization tasks, improving diagnostic accuracy …
implementation will be focused on the automatization tasks, improving diagnostic accuracy …
AI cardiac MRI scar analysis aids prediction of major arrhythmic events in the multicenter DERIVATE registry
F Ghanbari, T Joyce, V Lorenzoni, AI Guaricci… - Radiology, 2023 - pubs.rsna.org
Background Scar burden with late gadolinium enhancement (LGE) cardiac MRI (CMR)
predicts arrhythmic events in patients with postinfarction in single-center studies. However …
predicts arrhythmic events in patients with postinfarction in single-center studies. However …
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images
Multi-sequence cardiac magnetic resonance (CMR) provides essential pathology
information (scar and edema) to diagnose myocardial infarction. However, automatic …
information (scar and edema) to diagnose myocardial infarction. However, automatic …
Recent advances in fibrosis and scar segmentation from cardiac MRI: a state-of-the-art review and future perspectives
Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …
MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images
Myocardial pathology segmentation (MyoPS) can be a prerequisite for the accurate
diagnosis and treatment planning of myocardial infarction. However, achieving this …
diagnosis and treatment planning of myocardial infarction. However, achieving this …
[HTML][HTML] Anatomically informed deep learning on contrast-enhanced cardiac magnetic resonance imaging for scar segmentation and clinical feature extraction
Background Visualizing fibrosis on cardiac magnetic resonance (CMR) imaging with
contrast enhancement (late gadolinium enhancement; LGE) is paramount in characterizing …
contrast enhancement (late gadolinium enhancement; LGE) is paramount in characterizing …
Artificial intelligence in cardiovascular CT and MR imaging
LRM Lanzafame, GM Bucolo, G Muscogiuri, S Sironi… - Life, 2023 - mdpi.com
The technological development of Artificial Intelligence (AI) has grown rapidly in recent
years. The applications of AI to cardiovascular imaging are various and could improve the …
years. The applications of AI to cardiovascular imaging are various and could improve the …
Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse‐to‐fine convolutional neural network
F Zabihollahy, AN Viswanathan, EJ Schmidt… - Medical …, 2021 - Wiley Online Library
Purpose Brachytherapy combined with external beam radiotherapy (EBRT) is the standard
treatment for cervical cancer and has been shown to improve overall survival rates …
treatment for cervical cancer and has been shown to improve overall survival rates …
[HTML][HTML] Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to …
Background Cardiovascular magnetic resonance (CMR) is an important imaging modality
for the assessment of heart disease; however, limitations of CMR include long exam times …
for the assessment of heart disease; however, limitations of CMR include long exam times …