I have significant experience in cardiac imaging, data science, and AI techniques. The primary focus of my research lies in the realm of cardiac image analysis. My background encompasses proficiency in cutting-edge methods, including image registration, image segmentation, machine/deep learning, and survival analysis. In particular, I was involved in multiple NIH-funded projects where I utilized various imaging, statistical, machine learning, and deep learning techniques.
My recent research has centered on the advanced analysis of cardiovascular images, including computed tomography (CT) calcium scoring, CT angiography, IVOCT, and chest CT images. I played as a key-person in feature engineering, R&D pipeline, and data management. Our research team composed of cardiologists from the University Hospitals of Cleveland (UH) and engineers from ÐÇ¿Õ´«Ã½, engage in regular weekly collaborations. With these facilities and expertise in place, I have been able to drive forward advancements in our promising calcium score and fat segmentation, creating state-of-the-art calcium-omics and fat-omics engineered features. We have designed advanced cardiac disease prediction projects, which will enhance our understanding of tailoring follow-up care, and promoting patient adherence to medication plans.
Publications
A. Hoori, S. Al-Kindi, T. Hu, Y. Song, H. Wu, J. Lee, N. Tashtish, P. Fu, R. Gilkeson, S. Rajagopalan, and D. L. Wilson, "Enhancing cardiovascular risk prediction through AI-enabled calcium-omics." Scientific Reports,14 (1), 11134, 2024.
T. Hu, J. Freeze, P. Singh, J. Kim, Y. Song, H. Wu, J. Lee, S. Al-Kindi, S. Rajagopalan, D. L. Wilson, A. Hoori, "AI prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from CT calcium score." arXiv preprint arXiv:2401.16190, 2024.
A. Hoori, T. Hu, J. Lee, S. Al-Kindi, S. Rajagopalan, and D. L. Wilson, "Deep learning segmentation and quantification method for assessing epicardial adipose tissue in CT calcium score scans," Scientific Reports 12, 2276, 2022.
A. Hoori, T. Hu, J. Lee, S. Al-Kindi, S. Rajagopalan, and D. L. Wilson, "Analysis of paracardial adipose tissues using deep learning segmentation in CT calcium score images." in Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging, SPIE, p. 1246805, 2023.
A. Hoori, T. Hu, J. Lee, S. Al-kindi, S. Rajagopalan, and D. L. Wilson, "An enriched survival study of epicardial adipose tissues risk on major adverse cardiovascular event in CT calcium score images." in Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, United States: SPIE, p. 27, Apr. 2023.