CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosisAmir Rouhollahi, Farhad R. Nezami, James Noel Willi et al.|Computerized Medical Imaging and Graphics|2023Cited by 44
Predicting one-year left ventricular mass index regression following transcatheter aortic valve replacement in patients with severe aortic stenosis: A new era is comingMohammad Mostafa Asheghan, Farhad R. Nezami, Kim I. de la Cruz et al.|Frontiers in Cardiovascular Medicine|2023Cited by 7
TCT-390 AI-Guided Assessment of Calcium Burden for Enhanced Risk Stratification and Outcome Prediction in Severe Aortic Stenosis Patients Undergoing Transcatheter Aortic Valve ReplacementAmir Rouhollahi, Farhad R. Nezami, Elias Bou Farhat et al.|Journal of the American College of Cardiology|2023Cited by 0
Refined Myocardium Segmentation from CT Using a Hybrid-Fusion TransformerS. N. Qin, Iman Aganj, Fangxu Xing et al.|bioRxiv (Cold Spring Harbor Laboratory)|2024Cited by 0
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