Deep feature learning for automatic tissue classification of coronary artery using optical coherence tomography A Abdolmanafi, L Duong, N Dahdah, F Cheriet Biomedical optics express 8 (2), 1203-1220, 2017 | 148 | 2017 |
Characterization of coronary artery pathological formations from OCT imaging using deep learning A Abdolmanafi, L Duong, N Dahdah, IR Adib, F Cheriet Biomedical optics express 9 (10), 4936-4960, 2018 | 68 | 2018 |
An automatic diagnostic system of coronary artery lesions in Kawasaki disease using intravascular optical coherence tomography imaging A Abdolmanafi, F Cheriet, L Duong, R Ibrahim, N Dahdah Journal of Biophotonics 13 (1), e201900112, 2020 | 22 | 2020 |
A deep learning‐based model for characterization of atherosclerotic plaque in coronary arteries using optical coherence tomography images A Abdolmanafi, L Duong, R Ibrahim, N Dahdah Medical Physics 48 (7), 3511-3524, 2021 | 18 | 2021 |
Deep-learning method for fully automatic segmentation of the abdominal aortic aneurysm from computed tomography imaging A Abdolmanafi, A Forneris, RD Moore, ES Di Martino Frontiers in Cardiovascular Medicine 9, 1040053, 2023 | 7 | 2023 |
Fully automatic artificial intelligence diagnostic model of coronary artery lesions using oct imaging A Abdolmanafi, N Dahdah, L Duong, RI Adib, F Cheriet Canadian Journal of Cardiology 35 (10), S61-S62, 2019 | 4 | 2019 |
Classification of coronary artery tissues using optical coherence tomography imaging in kawasaki disease A Abdolmanafi, AS Prasad, L Duong, N Dahdah Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and …, 2016 | 4 | 2016 |
System and method for determining coronary artery tissue type based on an OCT image and using trained engines A Abdolmanafi, L Duong, N Dahdah, F Cheriet WO Patent WO2019237191A1, 2019 | 3 | 2019 |
Intravascular imaging of coronary artery: Bridging the gap between clinical needs and technical advances A Abdolmanafi, L Duong, R Ibrahim, N Dahdah Medical Engineering & Physics 96, 71-80, 2021 | 2 | 2021 |
Intra-slice motion correction of intravascular OCT images using deep features A Abdolmanafi, L Duong, N Dahdah, F Cheriet IEEE Journal of Biomedical and Health Informatics 23 (3), 931-941, 2018 | 2 | 2018 |
Characterization of coronary artery tissues in Kawasaki Disease using Optical Coherence Tomography (OCT) imaging A Abdolmanafi, L Duong | 1 | 2018 |
Design of coronary artery phantom using polyvinyl alcohol cryogel for optical coherence tomography imaging in Kawasaki Disease M Pazzaglia, A Abdolmanafi, GT Pedraza, N Dahdah, L Duong Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and …, 2024 | | 2024 |
Method and system for segmenting and characterizing aortic tissues. A Abdolmanafi, ES Di Martino, A Forneris WO Patent WO/2022/175,924, 2022 | | 2022 |
System and method for determining atherosclerotic pathological tissue types in a coronary artery OCT image using trained engines. A Abdolmanafi, L Duong, N Dahdah WO Patent WO/2022/073,109, 2022 | | 2022 |
2019 Index IEEE Journal of Biomedical and Health Informatics Vol. 23 MB Abdallah, A Abdolmanafi, B Abdulkarim, B Abibullaev, R Abiri, ... IEEE Journal of Biomedical and Health Informatics 23 (6), 2019 | | 2019 |
An automatic diagnostic system of coronary artery lesions using OCT imaging A Abdolmanafi, L Duong, N Dahdah | | 2019 |
Characterization of coronary artery tissues with Kawasaki disease from OCT images A Abdolmanafi École de technologie supérieure, 2018 | | 2018 |
Deep Learning: Current and Emerging Applications in Medicine and Technology................ A. Akay and H. Hess 906 E Trivizakis, GC Manikis, K Nikiforaki, K Drevelegas, M Constantinides, ... | | |
Method and system for training machine learning models to predict abdominal aortic aneurysm (AAA) growth in images A Abdolmanafi, ES Di Martino, A Forneris | | |