Michael Markl
Orcid: 0000-0002-7686-1128Affiliations:
- Northwestern University, Chicago, IL, USA
According to our database1,
Michael Markl authored at least 35 papers
between 1996 and 2026.
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Bibliography
2026
BMC Medical Imaging, December, 2026
Toward Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge.
IEEE Trans. Medical Imaging, May, 2026
2025
Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with a Generalist Foundation Model and Multimodal Database.
CoRR, December, 2025
Automated Labeling of Intracranial Arteries with Uncertainty Quantification Using Deep Learning.
CoRR, September, 2025
Computationally Efficient Implicit Training Strategy for Unrolled Networks (IMUNNE): A Preliminary Analysis Using Accelerated Real-Time Cardiac Cine MRI.
IEEE Trans. Biomed. Eng., January, 2025
Inter-AI Agreement in Measuring Cine MRI-Derived Cardiac Function and Motion Patterns: A Pilot Study.
J. Imaging Inform. Medicine, 2025
2024
Robust and fast stochastic 4D flow vector-field signature technique for quantifying composite flow dynamics from 4D flow MRI: Application to left atrial flow in atrial fibrillation.
Medical Image Anal., February, 2024
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.
CoRR, 2024
2023
Automatic 4D Flow MRI Segmentation Using the Standardized Difference of Means Velocity.
IEEE Trans. Medical Imaging, 2023
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI.
CoRR, 2023
2022
IEEE Trans. Medical Imaging, 2022
2021
Divergence-Free Constrained Phase Unwrapping and Denoising for 4D Flow MRI Using Weighted Least-Squares.
IEEE Trans. Medical Imaging, 2021
Stochastic 4D Flow Vector-Field Signatures: A New Approach for Comprehensive 4D Flow MRI Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
4D Flow MRI Pressure Estimation Using Velocity Measurement-Error-Based Weighted Least-Squares.
IEEE Trans. Medical Imaging, 2020
2019
Comput. Graph., 2019
Proceedings of the 24th International Symposium on Vision, Modeling, and Visualization, 2019
2018
Proceedings of the 8th Eurographics Workshop on Visual Computing for Biology and Medicine, 2018
2016
Proceedings of the 6th Eurographics Workshop on Visual Computing for Biology and Medicine, 2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2015
Proceedings of the 2015 IEEE Scientific Visualization Conference, 2015
2013
IEEE Trans. Vis. Comput. Graph., 2013
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013
Detection of Vortical Structures in 4D Velocity Encoded Phase Contrast MRI Data Using Vector Template Matching.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013
Proceedings of the IEEE Pacific Visualization Symposium, 2013
2012
A finite-element approach to the direct computation of relative cardiovascular pressure from time-resolved MR velocity data.
Medical Image Anal., 2012
Proceedings of the 2012 IEEE Pacific Visualization Symposium, 2012
2011
Medical Image Anal., 2011
Proceedings of the Medical Imaging 2011: Visualization, 2011
Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011
2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
Proceedings of the 39. Jahrestagung der Gesellschaft für Informatik, Im Focus das Leben, INFORMATIK 2009, Lübeck, Germany, September 28, 2009
1996
Proceedings of the Bildverarbeitung für die Medizin: Algorithmen, 1996