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ORCIDDavid Marlevi
Person information
- affiliation: KTH Royal Institute of Technology, Department of Biomedical Engineering and Health Systems, Sweden
Other persons with the same name
- David Larsson 0002 — Neoventa Medical AB, Ågatan, Moelndal, Sweden
- David Larsson 0003 — Pagero AB, Gothenburg, Sweden
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Journal Articles
- 2024
[j7]Leon Ericsson, Adam Hjalmarsson
, Muhammad Usman Akbar, Edward Ferdian, Mia Bonini, Brandon Hardy, Jonas Schollenberger, Maria Aristova, Patrick Winter, Nicholas S. Burris, Alexander Fyrdahl, Andreas Sigfridsson, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young, David Marlevi:
Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System. IEEE J. Biomed. Health Informatics 28(12): 7239-7250 (2024)- 2023
- [j6]Andrew J. Buckler, David Marlevi, Nikolaos T. Skenteris, Mariette Lengquist, Malin Kronqvist, Ljubica Matic, Ulf Hedin:
In silico model of atherosclerosis with individual patient calibration to enable precision medicine for cardiovascular disease. Comput. Biol. Medicine 152: 106364 (2023) - [j5]Edward Ferdian, David Marlevi, Jonas Schollenberger, Maria Aristova, Elazer R. Edelman, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young:
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) - 2022
- [j4]Max L. Olender, Yanan Niu, David Marlevi, Elazer R. Edelman, Farhad Rikhtegar Nezami:
Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions. Comput. Medical Imaging Graph. 97: 102051 (2022) - 2021
- [j3]David Marlevi, Maximilian Balmus, Andreas Hessenthaler, Federica Viola, Daniel Fovargue, Adelaide de Vecchi, Pablo Lamata, Nicholas S. Burris, Francis D. Pagani, Jan E. Engvall, Elazer R. Edelman, Tino Ebbers, David A. Nordsletten:
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy. Medical Image Anal. 68: 101948 (2021) - 2020
- [j2]David Marlevi, Hojin Ha, Desmond Dillon-Murphy, João Filipe Fernandes, Daniel Fovargue, Massimiliano Colarieti-Tosti, Matilda Larsson, Pablo Lamata, C. Alberto Figueroa, Tino Ebbers, David A. Nordsletten:
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy. Medical Image Anal. 60 (2020) - 2017
- [j1]David Larsson, Jeannette Hiromi Spühler, Sven Petersson, Tim Nordenfur, Massimiliano Colarieti-Tosti, Johan Hoffman, Reidar Winter, Matilda Larsson:
Patient-Specific Left Ventricular Flow Simulations From Transthoracic Echocardiography: Robustness Evaluation and Validation Against Ultrasound Doppler and Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 36(11): 2261-2275 (2017)
Conference and Workshop Papers
- 2023
- [c4]Malak Sabry, Pablo Lamata, Andreas Sigfridsson, Hamed Keramati, Alexander Fyrdahl, Martin Ugander, Magdi H. Yacoub, David Marlevi, Adelaide de Vecchi:
Vortex Duration Time to Infer Pulmonary Hypertension: In-Silico Emulation and Dependence on Quantification Technique. FIMH 2023: 425-434 - 2021
- [c3]Bharath Narayanan, Max L. Olender, Farhad Rikhtegar Nezami, Elazer R. Edelman, David Marlevi:
In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels. BHI 2021: 1-4 - [c2]Yanan Niu, Max L. Olender, David Marlevi, Farhad Rikhtegar Nezami, Elazer R. Edelman:
Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning. BHI 2021: 1-4 - 2020
- [c1]Abhishek Karmakar, Max L. Olender, Farhad Rikhtegar Nezami, David Marlevi, Evan Shlofmitz, Richard A. Shlofmitz, Elazer R. Edelman:
Detailed Investigation of Lumen-Based Tomographic Co-Registration. BIBM 2020: 1038-1042
Informal and Other Publications
- 2024
- [i3]Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton:
Opportunities for machine learning in scientific discovery. CoRR abs/2405.04161 (2024) - 2023
- [i2]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) - [i1]Leon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, Edward Ferdian, Mia Bonini, Brandon Hardy, Jonas Schollenberger, Maria Aristova, Patrick Winter, Nicholas S. Burris, Alexander Fyrdahl, Andreas Sigfridsson, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young, David Marlevi:
Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system. CoRR abs/2311.11819 (2023)
Coauthor Index
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