Deep‐learning‐based disease classification in patients undergoing cine cardiac MRI
Background Automated approaches may allow for fast, reproducible clinical assessment of
cardiovascular diseases from MRI. Purpose To develop an MRI‐based deep learning (DL) …
cardiovascular diseases from MRI. Purpose To develop an MRI‐based deep learning (DL) …
Prognostic impact of artificial intelligence-based fully automated global circumferential strain in patients undergoing stress CMR
T Pezel, P Garot, S Toupin, T Hovasse… - European Heart …, 2023 - academic.oup.com
Aims To determine whether fully automated artificial intelligence-based global
circumferential strain (GCS) assessed during vasodilator stress cardiovascular (CV) …
circumferential strain (GCS) assessed during vasodilator stress cardiovascular (CV) …
AI-based fully automated left atrioventricular coupling index as a prognostic marker in patients undergoing stress CMR
T Pezel, P Garot, S Toupin, F Sanguineti… - Cardiovascular …, 2023 - jacc.org
Background The left atrioventricular coupling index (LACI) is a strong and independent
predictor of heart failure (HF) in individuals without clinical cardiovascular disease. Its …
predictor of heart failure (HF) in individuals without clinical cardiovascular disease. Its …
Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic …
S Toupin, T Pezel, T Hovasse… - European Heart …, 2024 - academic.oup.com
Aims This study aimed to determine in patients undergoing stress cardiovascular magnetic
resonance (CMR) whether fully automated stress artificial intelligence (AI)-based left …
resonance (CMR) whether fully automated stress artificial intelligence (AI)-based left …
[HTML][HTML] Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data
Although having been the subject of intense research over the years, cardiac function
quantification from MRI is still not a fully automatic process in the clinical practice. This is …
quantification from MRI is still not a fully automatic process in the clinical practice. This is …
Fully automated AI-based cardiac motion parameter extraction–application to mitral and tricuspid valves on long-axis cine MR images
Purpose In cardiac MRI, valve motion parameters can be useful for the diagnosis of cardiac
dysfunction. In this study, a fully automated AI-based valve tracking system was developed …
dysfunction. In this study, a fully automated AI-based valve tracking system was developed …
Cine Image Based Cardiac Disease Classification Using Random Forest Classifier and Graph Based Deep Learning Approach
Existing work demonstrates the value of image-based cardiovascular diagnosis with AI. We
aimed to develop and test a machine learning algorithm for cardiovascular disease …
aimed to develop and test a machine learning algorithm for cardiovascular disease …