David Marlevi

According to our database, David Marlevi authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System.

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

IEEE J. Biomed. Health Informatics, December, 2024

Opportunities for machine learning in scientific discovery.

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

CoRR, 2024

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.

Edward Ferdian, David Marlevi, Jonas Schollenberger, Maria Aristova, Elazer R. Edelman, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young

Medical Image Anal., August, 2023

Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization.

Karim Kadry, Abhishek Karmakar, Andreas Schuh, Kersten Petersen, Michiel Schaap, David Marlevi, Charles A. Taylor, Elazer R. Edelman, Farhad Rikhtegar Nezami

CoRR, 2023

In silico model of atherosclerosis with individual patient calibration to enable precision medicine for cardiovascular disease.

Andrew J. Buckler, David Marlevi, Nikolaos T. Skenteris, Mariette Lengquist, Malin Kronqvist, Ljubica Matic, Ulf Hedin

Comput. Biol. Medicine, 2023

Vortex Duration Time to Infer Pulmonary Hypertension: In-Silico Emulation and Dependence on Quantification Technique.

Malak Sabry, Pablo Lamata, Andreas Sigfridsson, Hamed Keramati, Alexander Fyrdahl, Martin Ugander, Magdi H. Yacoub, David Marlevi, Adelaide de Vecchi

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.

Max L. Olender, Yanan Niu, David Marlevi, Elazer R. Edelman, Farhad Rikhtegar Nezami

Comput. Medical Imaging Graph., 2022

2021

Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy.

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

Medical Image Anal., 2021

Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning.

Yanan Niu, Max L. Olender, David Marlevi, Farhad Rikhtegar Nezami, Elazer R. Edelman

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.

Bharath Narayanan, Max L. Olender, Farhad Rikhtegar Nezami, Elazer R. Edelman, David Marlevi

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.

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

Medical Image Anal., 2020

Detailed Investigation of Lumen-Based Tomographic Co-Registration.

Abhishek Karmakar, Max L. Olender, Farhad Rikhtegar Nezami, David Marlevi, Evan Shlofmitz, Richard A. Shlofmitz, Elazer R. Edelman

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.

David Larsson, Jeannette Hiromi Spühler, Sven Petersson, Tim Nordenfur, Massimiliano Colarieti-Tosti, Johan Hoffman, Reidar Winter, Matilda Larsson

IEEE Trans. Medical Imaging, 2017