Messung von Herzwandbewegung mit MR-Interferographie. - Simone Peschl; R. Strecker; Michael Markl 001; Dietmar Saupe; Jürgen Hennig (Bildverarbeitung für die Medizin, 1996)

Visual classification of complicated plaques based on multidimensional image fusion. - 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; et al. (GI Jahrestagung, 2009)

Probabilistic 4D Blood Flow Mapping. - Ola Friman; Anja Hennemuth; Andreas Harloff; Jelena Bock; Michael Markl 001; Heinz-Otto Peitgen (MICCAI (3), 2010)

Vergleich zwischen 7 Tesla 4D PC-MRI-Flussmessung und CFD-Simulation. - Rocco Gasteiger; Gábor Janiga; Daniel Stucht; Anja Hennemuth; Ola Friman; Oliver Speck; Michael Markl 001; Bernhard Preim (Bildverarbeitung für die Medizin, 2011)

Bildbasierte Korrektur von Phasensprüngen in 4D PC-MRI Flussdaten. - Daniel Stucht; Rocco Gasteiger; Steffen Serowy; Michael Markl 001; Bernhard Preim; Oliver Speck (Bildverarbeitung für die Medizin, 2011)

Towards patient-individual blood flow simulations based on PC-MRI measurements. - Sebastian Meier; Anja Hennemuth; Nikola Plamenov Tchipev; Andreas Harloff; Michael Markl 001; Tobias Preusser (GI-Jahrestagung, 2011)

Fast interactive exploration of 4D MRI flow data. - Anja Hennemuth; Ola Friman; Christian Schumann; J. Bock; Johann Drexl; Markus Hüllebrand; Michael Markl 001; Heinz-Otto Peitgen (Image-Guided Procedures, 2011)

Probabilistic 4D blood flow tracking and uncertainty estimation. - Ola Friman; Anja Hennemuth; Andreas Harloff; Jelena Bock; Michael Markl 001; Heinz-Otto Peitgen (Medical Image Anal., 2011)

Visual 4D MRI blood flow analysis with line predicates. - Silvia Born; Matthias Pfeifle; Michael Markl 001; Gerik Scheuermann (PacificVis, 2012)

A finite-element approach to the direct computation of relative cardiovascular pressure from time-resolved MR velocity data. - Sebastian Krittian; Pablo Lamata; Christian Michler; David Nordsletten; Jelena Bock; Chris P. Bradley; Alex Pitcher; Philip J. Kilner; Michael Markl 001; Nicolas Smith (Medical Image Anal., 2012)

Illustrative visualization of cardiac and aortic blood flow from 4D MRI data. - Silvia Born; Michael Markl 001; Matthias Gutberlet; Gerik Scheuermann (PacificVis, 2013)

Detection of Vortical Structures in 4D Velocity Encoded Phase Contrast MRI Data Using Vector Template Matching. - Johann Drexl; Haider Adnan Khan; Michael Markl 001; Anja Hennemuth; Sebastian Meier; Ramona Lorenz; Horst K. Hahn (FIMH, 2013)

Model-Based Estimation of 4D Relative Pressure Map from 4D Flow MR Images. - Viorel Mihalef; Saikiran Rapaka; Mehmet A. Gülsün; Angelo Scorza; Puneet Sharma; Lucian Mihai Itu; Ali Kamen; Alex Barker; Michael Markl 001; Dorin Comaniciu (STACOM, 2013)

Visual Analysis of Cardiac 4D MRI Blood Flow Using Line Predicates. - Silvia Born; Matthias Pfeifle; Michael Markl 001; Matthias Gutberlet; Gerik Scheuermann (IEEE Trans. Vis. Comput. Graph., 2013)

3D superquadric glyphs for visualizing myocardial motion. - Teodora Chitiboi; Mathias Neugebauer; Susanne Schnell; Michael Markl 001; Lars Linsen (SciVis, 2015)

Contour tracking and probabilistic segmentation of tissue phase mapping MRI. - Teodora Chitiboi; Anja Hennemuth; Susanne Schnell; Varun Chowdhary; Amir Honarmand; Michael Markl 001; Lars Linsen; Horst K. Hahn (Image Processing, 2016)

Spatio-temporal Visualization of Regional Myocardial Velocities. - Ali Sheharyar; Teodora Chitiboi; Eric Keller; Ozair Rahman; Susanne Schnell; Michael Markl 001; Othmane Bouhali; Lars Linsen (VCBM/MedViz, 2016)

Visual Analysis of Regional Anomalies in Myocardial Motion. - Ali Sheharyar; Alexander Ruh; Maria Aristova; Michael Scott; Kelly Jarvis; Mohammed S. M. ElBaz; Ryan Dolan; Susanne Schnell; Kai Lin; James Carr; Michael Markl 001; Othmane Bouhali; et al. (VCBM@MICCAI, 2018)

A Visual Analytics Tool for Cohorts in Motion Data. - Ali Sheharyar; Alexander Ruh; Dimitar Valkov; Michael Markl 001; Othmane Bouhali; Lars Linsen (VMV, 2019)

Visual analysis of regional myocardial motion anomalies in longitudinal studies. - Ali Sheharyar; Alexander Ruh; Maria Aristova; Michael Scott; Kelly Jarvis; Mohammed S. M. ElBaz; Ryan Dolan; Susanne Schnell; Kai Lin; James Carr; Michael Markl 001; Othmane Bouhali; et al. (Comput. Graph., 2019)

4D Flow MRI Pressure Estimation Using Velocity Measurement-Error-Based Weighted Least-Squares. - Jiacheng Zhang; Melissa C. Brindise; Sean Rothenberger; Susanne Schnell; Michael Markl 001; David Saloner; Vitaliy L. Rayz; Pavlos P. Vlachos (IEEE Trans. Medical Imaging, 2020)

Stochastic 4D Flow Vector-Field Signatures: A New Approach for Comprehensive 4D Flow MRI Quantification. - Mohammed S. M. ElBaz; Chris Malaisrie; Patrick McCarthy; Michael Markl 001 (MICCAI (5), 2021)

Divergence-Free Constrained Phase Unwrapping and Denoising for 4D Flow MRI Using Weighted Least-Squares. - Jiacheng Zhang; Sean Rothenberger; Melissa C. Brindise; Michael Scott; Haben Berhane; Justin J. Baraboo; Michael Markl 001; Vitaliy L. Rayz; Pavlos P. Vlachos (IEEE Trans. Medical Imaging, 2021)

MRI-MECH: Mechanics-informed MRI to estimate esophageal health. - Sourav Halder; Ethan M. Johnson; Jun Yamasaki; Peter J. Kahrilas; Michael Markl 001; John E. Pandolfino; Neelesh A. Patankar (CoRR, 2022)

Modeling Bias Error in 4D Flow MRI Velocity Measurements. - Sean M. Rothenberger; Jiacheng Zhang; Melissa C. Brindise; Susanne Schnell; Michael Markl 001; Pavlos P. Vlachos; Vitaliy L. Rayz (IEEE Trans. Medical Imaging, 2022)

A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI. - Mahmoud E. Khani; Ethan M. I. Johnson; Aparna Sodhi; Joshua D. Robinson; Cynthia K. Rigsby; Bradly D. Allen; Michael Markl 001 (CoRR, 2023)

Automatic 4D Flow MRI Segmentation Using the Standardized Difference of Means Velocity. - Sean M. Rothenberger; Neal M. Patel; Jiacheng Zhang; Susanne Schnell; Bruce A. Craig; Sameer A. Ansari; Michael Markl 001; Pavlos P. Vlachos; Vitaliy L. Rayz (IEEE Trans. Medical Imaging, 2023)

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. - Zi Wang 005; Fanwen Wang; Chen Qin; Jun Lyu; Ouyang Cheng; Shuo Wang 011; Yan Li 064; Mengyao Yu; Haoyu Zhang; Kunyuan Guo; Zhang Shi; Qirong Li; et al. (CoRR, 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. - Thara Nallamothu; Maurice Pradella; Michael Markl 001; Philip Greenland; Rod S. Passman; Mohammed S. M. ElBaz (Medical Image Anal., 2024)

Computationally Efficient Implicit Training Strategy for Unrolled Networks (IMUNNE): A Preliminary Analysis Using Accelerated Real-Time Cardiac Cine MRI. - Nikolay Iakovlev; Florian Schiffers; Santiago Lopez Tapia; Daming Shen; Kyungpyo Hong; Michael Markl 001; Daniel C. Lee 002; Aggelos K. Katsaggelos; Daniel Kim 002 (IEEE Trans. Biomed. Eng., 2025)