Markus Hüllebrand

Orcid: 0000-0003-4948-0917

Affiliations:
  • Charité, Berlin, Germany


According to our database1, Markus Hüllebrand authored at least 23 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

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Bibliography

2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023

2022
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.
Medical Image Anal., 2022

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge.
Medical Image Anal., 2022

Cascaded neural network-based CT image processing for aortic root analysis.
Int. J. Comput. Assist. Radiol. Surg., 2022

3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.
CoRR, 2021

3D Right Ventricle Reconstruction from 2D U-Net Segmentation of Sparse Short-Axis and 4-Chamber Cardiac Cine MRI Views.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

2020
An extensible software platform for interdisciplinary cardiovascular imaging research.
Comput. Methods Programs Biomed., 2020

Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection.
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Deep-Learning-Based Myocardial Pathology Detection.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning.
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA).
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Comparison of a Hybrid Mixture Model and a CNN for the Segmentation of Myocardial Pathologies in Delayed Enhancement MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

2019
Virtual downsizing for decision support in mitral valve repair.
Int. J. Comput. Assist. Radiol. Surg., 2019

2018
Extraction of open-state mitral valve geometry from CT volumes.
Int. J. Comput. Assist. Radiol. Surg., 2018

2017
Exploration of Interventricular Septum Motion in Multi-Cycle Cardiac MRI.
Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

Real-time myocardium segmentation for the assessment of cardiac function variation.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2014
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.
Medical Image Anal., 2014

Context-based segmentation and analysis of multi-cycle real-time cardiac MRI.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
A Software Tool for the Computation of Arterial Pulse Wave Velocity from Flow-sensitive 4D MRI Data.
Proceedings of the Computing in Cardiology, 2013

2012
Mixture-Model-Based Segmentation of Myocardial Delayed Enhancement MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2012

2011
Fast interactive exploration of 4D MRI flow data.
Proceedings of the Medical Imaging 2011: Visualization, 2011

Semi-Automatic 4D Fuzzy Connectedness Segmentation of Heart Ventricles in Cine MRI.
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011


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