[1] Patent Cooperation Treaty, Publication No. WO/2019/237191, December 2019
Title of Invention: System and method for determining coronary artery tissue type based on an OCT image and using trained engines.
Inventors: 1. Atefeh Abdolmanafi, 2. Luc Duong, 3. Nagib Dahdah, 4. Farida Cheriet
https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2019237191
[2] Patent Cooperation Treaty, Application No. CA2021051389, October 2021
Title of Invention: System and method for determining atherosclerotic pathological tissue types in a coronary artery OCT image using trained engines.
Inventors: 1. Atefeh Abdolmanafi, 2. Luc Duong, 3. Ragui Ibrahim, 4. Nagib Dahdah.
https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2022073109&_cid=P20-L2T8GN-75186-1
[3] WIPO – Patent Application No. PCT/IB2022/051558, February 2022
Title of Invention: Method and system for segmenting and characterizing aortic tissues. Inventors: 1. Atefeh Abdolmanafi, 2. Elena Di Martino, 3. Arianna Forneris
https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2022175924&_cid=P22-L7GZZO-32905-1
[4] Provisional Patent, October 2022
Title of Invention: Method and system for training machine learning models to predict abdominal aortic aneurysm (AAA) growth in images
Inventors: 1. Atefeh Abdolmanafi, 2. Elena Di Martino, 3. Arianna Forneris
Frontiers in Cardiovascular Medicine,
Sec. Cardiovascular Imaging
doi: 10.3389/fcvm.2022.1040053