Farhad Rikhtegar Nezami
Orcid: 0000-0002-4210-3177Affiliations:
- Massachusetts Institute of Technology, Institute for Medical Engineering and Science, Cambridge, MA, USA
According to our database1,
Farhad Rikhtegar Nezami
authored at least 19 papers
between 2014 and 2024.
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Bibliography
2024
Probing the Limits and Capabilities of Diffusion Models for the Anatomic Editing of Digital Twins.
CoRR, 2024
2023
CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis.
Comput. Medical Imaging Graph., October, 2023
Fully automated construction of three-dimensional finite element simulations from Optical Coherence Tomography.
Comput. Biol. Medicine, October, 2023
Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization.
CoRR, 2023
A Framework for Automated Quantification of Calcified Coronary Artery from Intravascular Optical Coherence Tomography Images.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
2022
Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions.
Comput. Medical Imaging Graph., 2022
Effect of anatomical variation on extracorporeal membrane oxygenation circulatory support: A computational study.
Comput. Biol. Medicine, 2022
2021
An in silico trials platform for the evaluation of effect of the arterial anatomy configuration on stent implantation<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Design and implementation of in silico clinical trial for Bioresorbable Vascular Scaffolds.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
A Mechanical Approach for Smooth Surface Fitting to Delineate Vessel Walls in Optical Coherence Tomography Images.
IEEE Trans. Medical Imaging, 2019
Medical Biol. Eng. Comput., 2019
2018
Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography.
IEEE J. Biomed. Health Informatics, 2018
2017
Fully automated lumen segmentation of intracoronary optical coherence tomography images.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Automated Segmentation of Bioresorbable Vascular Scaffold Struts in Intracoronary Optical Coherence Tomography Images.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017
2014
Proceedings of the 6th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation, 2014