Elazer R. Edelman
Orcid: 0000-0002-7832-7156Affiliations:
- Massachusetts Institute of Technology, Institute for Medical Engineering and Science, Cambridge, MA, USA
According to our database1,
Elazer R. Edelman
authored at least 35 papers
between 2014 and 2024.
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Online presence:
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Bibliography
2024
Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins.
npj Digit. Medicine, 2024
A transformer-based pyramid network for coronary calcified plaque segmentation in intravascular optical coherence tomography images.
Comput. Medical Imaging Graph., 2024
Effect of upper body venoarterial ECMO on systemic hemodynamics and oxygenation: A computational study.
Comput. Biol. Medicine, 2024
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-Skeletal Control.
Proceedings of the Computer Vision - ECCV 2024, 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
Cerebrovascular super-resolution 4D Flow MRI - Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure.
Medical Image Anal., August, 2023
Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization.
CoRR, 2023
Academia and Industry: Partners in Leveraging Engineering, Science and Medicine for Clinical Translation.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 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
Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work.
Sensors, 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
A Scalable Approach to Determine Intracardiac Pressure From Mechanical Circulatory Support Device Signals.
IEEE Trans. Biomed. Eng., 2021
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy.
Medical Image Anal., 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
A Domain Enriched Deep Learning Approach to Classify Atherosclerosis Using Intravascular Ultrasound Imaging.
IEEE J. Sel. Top. Signal Process., 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
IEEE Trans. Biomed. Eng., 2019
Medical Biol. Eng. Comput., 2019
A deep learning approach to classify atherosclerosis using intracoronary optical coherence tomography.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Neural Network Training Data Profoundly Impacts Texture-Based Intravascular Image Segmentation.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography.
IEEE J. Biomed. Health Informatics, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Fully automated lumen segmentation of intracoronary optical coherence tomography images.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 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
Estimating the internal elastic membrane cross-sectional area of coronary arteries autonomously using optical coherence tomography images.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Proceedings of the Advances in Ergonomics in Design, 2017
2015
In vivo deformation of stented coronary vessel centerline with cardiac motion: Implications for angiography-OCT fusion.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Finite element analysis of stent implantation in a three-dimensional reconstructed arterial segment.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014