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eess.IV2022
Automatic Quantification of Volumes and Biventricular Function in Cardiac Resonance. Validation of a New Artificial Intelligence Approach
Ariel H. Curiale, MatÍas E. Calandrelli, Lucca Dellazoppa +4
Background: Artificial intelligence techniques have shown great potential in cardiology, especially in quantifying cardiac biventricular function, volume, mass, and ejection fracti…
eess.IV2022★ 1 cited
Detection of Fibrosis in Cine Magnetic Resonance Images Using Artificial Intelligence Techniques
Ariel. H. Curiale, Facundo Cabrera, Pablo Jimenez +3
Background: Artificial intelligence techniques have demonstrated great potential in cardiology, especially to detect imperceptible patterns for the human eye. In this sense, these…