[HTML][HTML] Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to …

Q Zhang, A Fotaki, S Ghadimi, Y Wang… - Journal of …, 2024 - Elsevier
Background Cardiovascular magnetic resonance (CMR) is an important imaging modality
for the assessment of heart disease; however, limitations of CMR include long exam times …

Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to clinical …

Q Zhang, A Fotaki, S Ghadimi, Y Wang… - Journal of …, 2024 - journalofcmr.com
Background Cardiovascular magnetic resonance (CMR) is an important imaging modality
for the assessment of heart disease; however, limitations of CMR include long exam times …

Segmentation of cardiac infarction in delayed-enhancement MRI using probability map and transformers-based neural networks

E Lecesne, A Simon, M Garreau… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective: Automatic segmentation of myocardial infarction is of
great clinical interest for the quantitative evaluation of myocardial infarction (MI). Late …

Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients

Z Navidi, J Sun, RH Chan, K Hanneman… - PLOS Digital …, 2023 - journals.plos.org
Scar quantification on cardiovascular magnetic resonance (CMR) late gadolinium
enhancement (LGE) images is important in risk stratifying patients with hypertrophic …

FLORA software: Semi-automatic LGE-CMR analysis tool for cardiac lesions identification and characterization

S Pradella, LN Mazzoni, M Letteriello, P Tortoli… - La radiologia …, 2022 - Springer
Purpose Today there is a growing interest in the quantification of late gadolinium
enhancement (LGE) in ischemic and non-ischemic cardiac pathologies. We build an …

[HTML][HTML] Deep Learning for Cardiac Imaging: Focus on Myocardial Diseases: A Narrative Review

T Tsampras, T Karamanidou, G Papanastasiou… - Hellenic Journal of …, 2024 - Elsevier
The integration of computational technologies into cardiology has significantly advanced the
diagnosis and management of cardiovascular diseases. Computational cardiology …

The Role of Artificial Intelligence in Cardiac Imaging

C Onnis, M van Assen, E Muscogiuri… - Radiologic …, 2024 - radiologic.theclinics.com
Cardiovascular disease (CVD) remains the number one cause of death worldwide, and the
number of annual deaths is expected to increase in the near future 1; thus it is not surprising …

Cardiac Fibrosis Automated Diagnosis Based on FibrosisNet Network Using CMR Ischemic Cardiomyopathy

M Bekheet, M Sallah, NS Alghamdi, R Rusu-Both… - Diagnostics, 2024 - mdpi.com
Ischemic heart condition is one of the most prevalent causes of death that can be treated
more effectively and lead to fewer fatalities if identified early. Heart muscle fibrosis affects the …

Morroniside improves AngII-induced cardiac fibroblast proliferation, migration, and extracellular matrix deposition by blocking p38/JNK signaling pathway through the …

H Zheng, L Yang, H Huang, Y Lin, L Chen - … -Schmiedeberg's Archives of …, 2024 - Springer
Myocardial fibrosis (MF), which is an inevitable pathological manifestation of many
cardiovascular diseases in the terminal stage, often contributes to severe cardiac …

Comparison of a hybrid mixture model and a cnn for the segmentation of myocardial pathologies in delayed enhancement MRI

M Huellebrand, M Ivantsits, H Zhang… - Statistical Atlases and …, 2021 - Springer
DE-MRI provides a reliable and accurate imaging technique for the assessment of
pathological alterations in myocardial tissue. The clinically applied thresholding techniques …