David Marlevi

21 papers Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Geometric deep learning-based coronary wall shear stress estimation from real-world patients.
Comput. Biol. Medicine
Bianca Griffo, Diego Gallo, David Marlevi, Marco Laudato, Girolamo Mastronuzzi, Claudio Chiastra, Alessandro Candreva, Carlos Collet, Bernard De Bruyne, Andrea Erriquez, Gianluca Campo, Simone Biscaglia, Umberto Morbiducci, Maurizio Lodi Rizzini
2026 J jnl
Uncertainty-aware automated labeling of intracranial arteries using deep learning.
BMC Medical Imaging
Javier Bisbal, Patrick Winter, Sebastian Jofre, Aaron Ponce-Sandoval, Sameer A. Ansari, Ramez N. Abdalla, Michael Markl, Oliver Welin Odeback, Sergio Uribe, Cristian Tejos, Julio Sotelo, Susanne Schnell, David Marlevi
2025 J jnl
A Computational Pipeline for Advanced Analysis of 4D Flow MRI in the Left Atrium.
CoRR
Xabier Morales, Ayah Elsayed, Debbie Zhao, Filip Loncaric, Ainhoa M. Aguado, Mireia Masias, Gina M. Quill, Marc Ramos, Ada Doltra, Ana Garcia, Marta Sitges, David Marlevi, Alistair A. Young, Martyn P. Nash, Bart H. Bijnens, Oscar Camara
2025 J jnl
Automated Labeling of Intracranial Arteries with Uncertainty Quantification Using Deep Learning.
CoRR
Javier Bisbal, Patrick Winter, Sebastian Jofre, Aaron Ponce-Sandoval, Sameer A. Ansari, Ramez N. Abdalla, Michael Markl, Oliver Welin Odeback, Sergio Uribe, Cristian Tejos, Julio Sotelo, Susanne Schnell, David Marlevi
2025 J jnl
Deep learning for temporal super-resolution 4D Flow MRI.
CoRR
Pia Callmer, Mia Bonini, Edward Ferdian, David Nordsletten, Daniel Giese, Alistair A. Young, Alexander Fyrdahl, David Marlevi
2025 J jnl
Morphology-Based Non-Rigid Registration of Coronary Computed Tomography and Intravascular Images Through Virtual Catheter Path Optimization.
IEEE Trans. Medical Imaging
Karim Kadry, Max L. Olender, Andreas Schuh, Abhishek Karmakar, Kersten Petersen, Michiel Schaap, David Marlevi, Adam UpdePac, Takuya Mizukami, Charles Taylor, Elazer R. Edelman, Farhad Rikhtegar Nezami
2025 J jnl
Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI.
CoRR
Oliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger, Edward Ferdian, Alistair A. Young, C. Alberto Figueroa, Susanne Schnell, Outi Tammisola, Ricardo Vinuesa, Tobias Granberg, Alexander Fyrdahl, David Marlevi
2025 J jnl
Vortex duration in the pulmonary artery does not depend on vascular Afterload: a sign of adaptation?
Comput. Biol. Medicine
Malak Sabry, Björn Wieslander, Uxio Hermida, João Filipe Fernandes, Hamed Keramati, Martin Ugander, Goran Abdula, Magdi H. Yacoub, Pablo Lamata, David Marlevi, Adelaide de Vecchi
2024 J jnl
Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System.
IEEE J. Biomed. Health Informatics
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
2024 J jnl
Opportunities for machine learning in scientific discovery.
CoRR
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
2023 J jnl
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.
Edward Ferdian, David Marlevi, Jonas Schollenberger, Maria Aristova, Elazer R. Edelman, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young
2023 J jnl
Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system.
CoRR
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
2023 J jnl
In silico model of atherosclerosis with individual patient calibration to enable precision medicine for cardiovascular disease.
Comput. Biol. Medicine
Andrew J. Buckler, David Marlevi, Nikolaos T. Skenteris, Mariette Lengquist, Malin Kronqvist, Ljubica Matic, Ulf Hedin
2023 J jnl
Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization.
CoRR
Karim Kadry, Abhishek Karmakar, Andreas Schuh, Kersten Petersen, Michiel Schaap, David Marlevi, Charles A. Taylor, Elazer R. Edelman, Farhad Rikhtegar Nezami
2023 — conf
Vortex Duration Time to Infer Pulmonary Hypertension: In-Silico Emulation and Dependence on Quantification Technique.
FIMH
Malak Sabry, Pablo Lamata, Andreas Sigfridsson, Hamed Keramati, Alexander Fyrdahl, Martin Ugander, Magdi H. Yacoub, David Marlevi, Adelaide de Vecchi
2022 J jnl
Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions.
Comput. Medical Imaging Graph.
Max L. Olender, Yanan Niu, David Marlevi, Elazer R. Edelman, Farhad Rikhtegar Nezami
2021 — conf
Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning.
BHI
Yanan Niu, Max L. Olender, David Marlevi, Farhad Rikhtegar Nezami, Elazer R. Edelman
2021 — conf
In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels.
BHI
Bharath Narayanan, Max L. Olender, Farhad Rikhtegar Nezami, Elazer R. Edelman, David Marlevi
2021 J jnl
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy.
Medical Image Anal.
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
2020 — conf
Detailed Investigation of Lumen-Based Tomographic Co-Registration.
BIBM
Abhishek Karmakar, Max L. Olender, Farhad Rikhtegar Nezami, David Marlevi, Evan Shlofmitz, Richard A. Shlofmitz, Elazer R. Edelman
2020 J jnl
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy.
Medical Image Anal.
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