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ORCIDMichael Markl 0001
Person information
- affiliation: Northwestern University, Chicago, IL, USA
Other persons with the same name
- Michael Markl
- Michael Markl 0002
![[0000-0002-1921-5461]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1921-5461")
— University of Passau, Germany (and 3 more)
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2020 – today
- 2024
[j9]Thara Nallamothu, Maurice Pradella, Michael Markl, Philip Greenland, Rod S. Passman, Mohammed S. M. ElBaz:
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. 92: 103065 (2024)- [i3]Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang:
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR abs/2406.19043 (2024) - 2023
- [j8]Sean M. Rothenberger, Neal M. Patel, Jiacheng Zhang, Susanne Schnell, Bruce A. Craig, Sameer A. Ansari, Michael Markl, Pavlos P. Vlachos, Vitaliy L. Rayz:
Automatic 4D Flow MRI Segmentation Using the Standardized Difference of Means Velocity. IEEE Trans. Medical Imaging 42(8): 2360-2373 (2023) - [i2]Mahmoud E. Khani, Ethan M. I. Johnson, Aparna Sodhi, Joshua D. Robinson, Cynthia K. Rigsby, Bradly D. Allen, Michael Markl:
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI. CoRR abs/2301.02130 (2023) - 2022
- [j7]Sean M. Rothenberger, Jiacheng Zhang, Melissa C. Brindise, Susanne Schnell, Michael Markl, Pavlos P. Vlachos, Vitaliy L. Rayz:
Modeling Bias Error in 4D Flow MRI Velocity Measurements. IEEE Trans. Medical Imaging 41(7): 1802-1812 (2022) - [i1]Sourav Halder, Ethan M. Johnson, Jun Yamasaki, Peter J. Kahrilas, Michael Markl, John E. Pandolfino, Neelesh A. Patankar:
MRI-MECH: Mechanics-informed MRI to estimate esophageal health. CoRR abs/2209.07492 (2022) - 2021
- [j6]Jiacheng Zhang, Sean Rothenberger, Melissa C. Brindise, Michael Scott, Haben Berhane, Justin J. Baraboo, Michael Markl, Vitaliy L. Rayz, Pavlos P. Vlachos:
Divergence-Free Constrained Phase Unwrapping and Denoising for 4D Flow MRI Using Weighted Least-Squares. IEEE Trans. Medical Imaging 40(12): 3389-3399 (2021) - [c17]Mohammed S. M. ElBaz, Chris Malaisrie, Patrick McCarthy, Michael Markl:
Stochastic 4D Flow Vector-Field Signatures: A New Approach for Comprehensive 4D Flow MRI Quantification. MICCAI (5) 2021: 215-224 - 2020
- [j5]Jiacheng Zhang, Melissa C. Brindise, Sean Rothenberger, Susanne Schnell, Michael Markl, David Saloner, Vitaliy L. Rayz, Pavlos P. Vlachos:
4D Flow MRI Pressure Estimation Using Velocity Measurement-Error-Based Weighted Least-Squares. IEEE Trans. Medical Imaging 39(5): 1668-1680 (2020)
2010 – 2019
- 2019
- [j4]Ali Sheharyar, Alexander Ruh, Maria Aristova, Michael Scott, Kelly Jarvis, Mohammed S. M. ElBaz, Ryan Dolan, Susanne Schnell, Kai Lin, James Carr, Michael Markl, Othmane Bouhali, Lars Linsen:
Visual analysis of regional myocardial motion anomalies in longitudinal studies. Comput. Graph. 83: 62-76 (2019) - [c16]Ali Sheharyar, Alexander Ruh, Dimitar Valkov, Michael Markl, Othmane Bouhali, Lars Linsen:
A Visual Analytics Tool for Cohorts in Motion Data. VMV 2019: 151-160 - 2018
- [c15]Ali Sheharyar, Alexander Ruh, Maria Aristova, Michael Scott, Kelly Jarvis, Mohammed S. M. ElBaz, Ryan Dolan, Susanne Schnell, Kai Lin, James Carr, Michael Markl, Othmane Bouhali, Lars Linsen:
Visual Analysis of Regional Anomalies in Myocardial Motion. VCBM@MICCAI 2018: 135-144 - 2016
- [c14]Teodora Chitiboi, Anja Hennemuth, Susanne Schnell, Varun Chowdhary, Amir Honarmand, Michael Markl, Lars Linsen, Horst K. Hahn:
Contour tracking and probabilistic segmentation of tissue phase mapping MRI. Image Processing 2016: 978404 - [c13]Ali Sheharyar, Teodora Chitiboi, Eric Keller, Ozair Rahman, Susanne Schnell, Michael Markl, Othmane Bouhali, Lars Linsen:
Spatio-temporal Visualization of Regional Myocardial Velocities. VCBM/MedViz 2016: 89-98 - 2015
- [c12]Teodora Chitiboi, Mathias Neugebauer, Susanne Schnell, Michael Markl, Lars Linsen:
3D superquadric glyphs for visualizing myocardial motion. SciVis 2015: 143-144 - 2013
- [j3]Silvia Born, Matthias Pfeifle, Michael Markl, Matthias Gutberlet, Gerik Scheuermann:
Visual Analysis of Cardiac 4D MRI Blood Flow Using Line Predicates. IEEE Trans. Vis. Comput. Graph. 19(6): 900-912 (2013) - [c11]Silvia Born, Michael Markl, Matthias Gutberlet, Gerik Scheuermann:
Illustrative visualization of cardiac and aortic blood flow from 4D MRI data. PacificVis 2013: 129-136 - [c10]Johann Drexl, Haider Adnan Khan, Michael Markl, Anja Hennemuth, Sebastian Meier, Ramona Lorenz, Horst K. Hahn:
Detection of Vortical Structures in 4D Velocity Encoded Phase Contrast MRI Data Using Vector Template Matching. FIMH 2013: 276-283 - [c9]Viorel Mihalef, Saikiran Rapaka, Mehmet A. Gülsün, Angelo Scorza, Puneet Sharma, Lucian Mihai Itu, Ali Kamen, Alex Barker, Michael Markl, Dorin Comaniciu:
Model-Based Estimation of 4D Relative Pressure Map from 4D Flow MR Images. STACOM 2013: 236-243 - 2012
- [j2]Sebastian Krittian, Pablo Lamata, Christian Michler, David Nordsletten, Jelena Bock, Chris P. Bradley, Alex Pitcher, Philip J. Kilner, Michael Markl, Nicolas Smith:
A finite-element approach to the direct computation of relative cardiovascular pressure from time-resolved MR velocity data. Medical Image Anal. 16(5): 1029-1037 (2012) - [c8]Silvia Born, Matthias Pfeifle, Michael Markl, Gerik Scheuermann:
Visual 4D MRI blood flow analysis with line predicates. PacificVis 2012: 105-112 - 2011
- [j1]Ola Friman, Anja Hennemuth, Andreas Harloff, Jelena Bock, Michael Markl, Heinz-Otto Peitgen:
Probabilistic 4D blood flow tracking and uncertainty estimation. Medical Image Anal. 15(5): 720-728 (2011) - [c7]Rocco Gasteiger, Gábor Janiga, Daniel Stucht, Anja Hennemuth, Ola Friman, Oliver Speck, Michael Markl, Bernhard Preim:
Vergleich zwischen 7 Tesla 4D PC-MRI-Flussmessung und CFD-Simulation. Bildverarbeitung für die Medizin 2011: 304-308 - [c6]Daniel Stucht, Rocco Gasteiger, Steffen Serowy, Michael Markl, Bernhard Preim, Oliver Speck:
Bildbasierte Korrektur von Phasensprüngen in 4D PC-MRI Flussdaten. Bildverarbeitung für die Medizin 2011: 423-428 - [c5]Sebastian Meier, Anja Hennemuth, Nikola Plamenov Tchipev, Andreas Harloff, Michael Markl, Tobias Preusser:
Towards patient-individual blood flow simulations based on PC-MRI measurements. GI-Jahrestagung 2011: 447 - [c4]Anja Hennemuth, Ola Friman, Christian Schumann, J. Bock, Johann Drexl, Markus Hüllebrand, Michael Markl, Heinz-Otto Peitgen:
Fast interactive exploration of 4D MRI flow data. Image-Guided Procedures 2011: 79640E - 2010
- [c3]Ola Friman, Anja Hennemuth, Andreas Harloff, Jelena Bock, Michael Markl, Heinz-Otto Peitgen:
Probabilistic 4D Blood Flow Mapping. MICCAI (3) 2010: 416-423
2000 – 2009
- 2009
- [c2]Anja Hennemuth, Andreas Harloff, Timo Spehl, Nikolay Pavlov, Ola Friman, Dominik Paul, Dominik von Elverfeldt, Caroline Kühnel, Stefan Wirtz, Heike Goebel, Julia Mannheim, Horst K. Hahn, Bernd J. Pichler, Jürgen Hennig, Michael Markl:
Visual classification of complicated plaques based on multidimensional image fusion. GI Jahrestagung 2009: 1359-1369
1990 – 1999
- 1996
- [c1]Simone Peschl, R. Strecker, Michael Markl, Dietmar Saupe, Jürgen Hennig:
Messung von Herzwandbewegung mit MR-Interferographie. Bildverarbeitung für die Medizin 1996
Coauthor Index
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