Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques
Domenico Mastrodicasa(University of Washington), Carlo N. De Cecco(Emory Healthcare), U. Joseph Schoepf(Medical University of South Carolina), Marly van Assen(Emory University), Brian E. Jacobs(Medical University of South Carolina), Domenico De Santis(Research Institute for Geo-Hydrological Protection), Moritz H. Albrecht(Goethe University Frankfurt), Cesare Mantini(Ospedale SS. Annunziata), Marwen Eid(St. Francis Hospital), Ákos Varga‐Szemes(Goethe University Frankfurt), Chris Tesche(München Klinik Bogenhausen), Sebastian Gassenmaier(University Children's Hospital Tübingen)
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