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Elazer R. Edelman
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- affiliation: Massachusetts Institute of Technology, Institute for Medical Engineering and Science, Cambridge, MA, USA
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2020 – today
- 2024
- [j16]Hamed Moradi, Raghu R. Seethala, Elazer R. Edelman
, Steven P. Keller
Effect of upper body venoarterial ECMO on systemic hemodynamics and oxygenation: A computational study. Comput. Biol. Medicine 182: 109124 (2024) - [j15]Yiqing Liu, Farhad Rikhtegar Nezami, Elazer R. Edelman:
A transformer-based pyramid network for coronary calcified plaque segmentation in intravascular optical coherence tomography images. Comput. Medical Imaging Graph. 113: 102347 (2024) - [c17]Karim Kadry
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-Skeletal Control. ECCV (78) 2024: 396-412 - [i4]Karim Kadry, Shreya Gupta, Farhad Rikhtegar Nezami, Elazer R. Edelman:
Probing the Limits and Capabilities of Diffusion Models for the Anatomic Editing of Digital Twins. CoRR abs/2401.00247 (2024) - [i3]Ross Straughan, Karim Kadry, Sahil A. Parikh, Elazer R. Edelman, Farhad Rikhtegar Nezami:
Fully automated construction of three-dimensional finite element simulations from Optical Coherence Tomography. CoRR abs/2405.13643 (2024) - [i2]Karim Kadry, Shreya Gupta, Jonas Sogbadji, Michiel Schaap, Kersten Petersen, Takuya Mizukami, Carlos Collet, Farhad Rikhtegar Nezami, Elazer R. Edelman:
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control. CoRR abs/2407.15631 (2024) - 2023
- [j14]Ross Straughan
Fully automated construction of three-dimensional finite element simulations from Optical Coherence Tomography. Comput. Biol. Medicine 165: 107341 (2023) - [j13]Amir Rouhollahi
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. 109: 102289 (2023) - [j12]Edward Ferdian
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. 88: 102831 (2023) - [c16]Yiqing Liu, Farhad Rikhtegar Nezami, Elazer R. Edelman:
A Framework for Automated Quantification of Calcified Coronary Artery from Intravascular Optical Coherence Tomography Images. BHI 2023: 1-4 - [c15]Elazer Edelman:
Academia and Industry: Partners in Leveraging Engineering, Science and Medicine for Clinical Translation. BIOSTEC 2023: 13 - [i1]Karim Kadry, Abhishek Karmakar, Andreas Schuh, Kersten Petersen, Michiel Schaap, David Marlevi, Charles A. Taylor, Elazer R. Edelman, Farhad Rikhtegar Nezami
Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization. CoRR abs/2301.00060 (2023) - 2022
- [j11]Farhan Khodaee, Farhad Rikhtegar Nezami
Effect of anatomical variation on extracorporeal membrane oxygenation circulatory support: A computational study. Comput. Biol. Medicine 141: 105178 (2022) - [j10]Max L. Olender
Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions. Comput. Medical Imaging Graph. 97: 102051 (2022) - [j9]Luís Silva
Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work. Sensors 22(11): 4247 (2022) - 2021
- [j8]David Marlevi, Maximilian Balmus, Andreas Hessenthaler
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy. Medical Image Anal. 68: 101948 (2021) - [j7]Brian Y. Chang
A Scalable Approach to Determine Intracardiac Pressure From Mechanical Circulatory Support Device Signals. IEEE Trans. Biomed. Eng. 68(3): 905-913 (2021) - [c14]Bharath Narayanan, Max L. Olender
In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels. BHI 2021: 1-4 - [c13]Yanan Niu
Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning. BHI 2021: 1-4 - 2020
- [j6]Max L. Olender
A Domain Enriched Deep Learning Approach to Classify Atherosclerosis Using Intravascular Ultrasound Imaging. IEEE J. Sel. Top. Signal Process. 14(6): 1210-1220 (2020) - [c12]Abhishek Karmakar
Detailed Investigation of Lumen-Based Tomographic Co-Registration. BIBM 2020: 1038-1042
2010 – 2019
- 2019
- [j5]Lambros S. Athanasiou
Hemodynamic consequences of a multilayer flow modulator in aortic dissection. Medical Biol. Eng. Comput. 57(9): 1861-1874 (2019) - [j4]Brian Y. Chang
Leveraging Device-Arterial Coupling to Determine Cardiac and Vascular State. IEEE Trans. Biomed. Eng. 66(10): 2800-2808 (2019) - [j3]Lambros S. Athanasiou
Position Paper Computational Cardiology. IEEE J. Biomed. Health Informatics 23(1): 4-11 (2019) - [j2]Max L. Olender
A Mechanical Approach for Smooth Surface Fitting to Delineate Vessel Walls in Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 38(6): 1384-1397 (2019) - [c11]Max L. Olender
Simultaneous Multi-Surface Fitting for Vessel Wall Layer Delineation. BHI 2019: 1-4 - [c10]Akshay Gowrishankar, Lambros S. Athanasiou, Max L. Olender
Neural Network Training Data Profoundly Impacts Texture-Based Intravascular Image Segmentation. BIBE 2019: 989-993 - [c9]Lambros S. Athanasiou, Max L. Olender
A deep learning approach to classify atherosclerosis using intracoronary optical coherence tomography. Medical Imaging: Computer-Aided Diagnosis 2019: 109500N - 2018
- [j1]Lambros S. Athanasiou
Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography. IEEE J. Biomed. Health Informatics 22(4): 1168-1176 (2018) - [c8]Georgia S. Karanasiou
In Silico analysis of stent deployment- effect of stent design. EMBC 2018: 4567-4570 - 2017
- [c7]Miguel A. F. Carvalho
Garment Design and Engineering for Hospital Use. AHFE (4) 2017: 939-950 - [c6]Max L. Olender
Estimating the internal elastic membrane cross-sectional area of coronary arteries autonomously using optical coherence tomography images. BHI 2017: 109-112 - [c5]Junedh M. Amrute
Automated Segmentation of Bioresorbable Vascular Scaffold Struts in Intracoronary Optical Coherence Tomography Images. BIBE 2017: 297-302 - [c4]Georgia S. Karanasiou
In Silico Assessment of the effects of Material on Stent Deployment. BIBE 2017: 462-467 - [c3]Lambros S. Athanasiou, Farhad Rikhtegar
Fully automated lumen segmentation of intracoronary optical coherence tomography images. Medical Imaging: Image Processing 2017: 101332I - 2015
- [c2]Mie Kunio, Caroline C. O'Brien, Augusto C. Lopes, Elazer R. Edelman:
In vivo deformation of stented coronary vessel centerline with cardiac motion: Implications for angiography-OCT fusion. ISBI 2015: 1328-1331 - 2014
- [c1]Georgia S. Karanasiou
Finite element analysis of stent implantation in a three-dimensional reconstructed arterial segment. EMBC 2014: 5623-5626
Coauthor Index
aka: Farhad Rikhtegar
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