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David 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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2020 – today
- 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
- [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
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) - [c4]Malak Sabry, Pablo Lamata, Andreas Sigfridsson, Hamed Keramati, Alexander Fyrdahl
Vortex Duration Time to Infer Pulmonary Hypertension: In-Silico Emulation and Dependence on Quantification Technique. FIMH 2023: 425-434 - [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
Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system. CoRR abs/2311.11819 (2023) - 2022
- [j4]Max L. Olender
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
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy. Medical Image Anal. 68: 101948 (2021) - [c3]Bharath Narayanan, Max L. Olender
In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels. BHI 2021: 1-4 - [c2]Yanan Niu
Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning. BHI 2021: 1-4 - 2020
- [j2]David Marlevi
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy. Medical Image Anal. 60 (2020) - [c1]Abhishek Karmakar
Detailed Investigation of Lumen-Based Tomographic Co-Registration. BIBM 2020: 1038-1042
2010 – 2019
- 2017
- [j1]David 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)
Coauthor Index
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