David Marlevi
Orcid: 0000-0003-1002-2070Affiliations:
- KTH Royal Institute of Technology, Department of Biomedical Engineering and Health Systems, Sweden
According to our database1,
David Marlevi
authored at least 12 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
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
Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system.
CoRR, 2023
Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization.
CoRR, 2023
In silico model of atherosclerosis with individual patient calibration to enable precision medicine for cardiovascular disease.
Comput. Biol. Medicine, 2023
Vortex Duration Time to Infer Pulmonary Hypertension: In-Silico Emulation and Dependence on Quantification Technique.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
2022
Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions.
Comput. Medical Imaging Graph., 2022
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
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy.
Medical Image Anal., 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2017
Patient-Specific Left Ventricular Flow Simulations From Transthoracic Echocardiography: Robustness Evaluation and Validation Against Ultrasound Doppler and Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2017