| Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ... Medical image analysis 18 (7), 1217-1232, 2014 | 181 | 2014 |
| Time-resolved 3-dimensional magnetic resonance phase contrast imaging (4D Flow MRI) analysis of hemodynamics in valve-sparing aortic root repair with an anatomically shaped … TH Oechtering, CF Hons, M Sieren, P Hunold, A Hennemuth, ... The Journal of thoracic and cardiovascular surgery 152 (2), 418-427. e1, 2016 | 63 | 2016 |
| Fast interactive exploration of 4D MRI flow data A Hennemuth, O Friman, C Schumann, J Bock, J Drexl, M Huellebrand, ... Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling …, 2011 | 58 | 2011 |
| Deep learning segmentation of the right ventricle in cardiac MRI: the M&Ms challenge C Martín-Isla, VM Campello, C Izquierdo, K Kushibar, C Sendra-Balcells, ... IEEE Journal of Biomedical and Health Informatics 27 (7), 3302-3313, 2023 | 52 | 2023 |
| Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A Lalande, Z Chen, T Pommier, T Decourselle, A Qayyum, M Salomon, ... Medical Image Analysis 79, 102428, 2022 | 48 | 2022 |
| Time-resolved 3-dimensional magnetic resonance phase contrast imaging (4D Flow MRI) reveals altered blood flow patterns in the ascending aorta of patients with valve-sparing … TH Oechtering, MM Sieren, P Hunold, A Hennemuth, M Huellebrand, ... The Journal of thoracic and cardiovascular surgery 159 (3), 798-810. e1, 2020 | 41 | 2020 |
| Context-based segmentation and analysis of multi-cycle real-time cardiac MRI T Chitiboi, A Hennemuth, L Tautz, M Hüllebrand, J Frahm, L Linsen, ... 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 943-946, 2014 | 35 | 2014 |
| Extraction of open-state mitral valve geometry from CT volumes L Tautz, M Neugebauer, M Hüllebrand, K Vellguth, F Degener, ... International journal of computer assisted radiology and surgery 13, 1741-1754, 2018 | 23 | 2018 |
| Detection and analysis of cerebral aneurysms based on X-ray rotational angiography-the CADA 2020 challenge M Ivantsits, L Goubergrits, JM Kuhnigk, M Huellebrand, J Bruening, ... Medical image analysis 77, 102333, 2022 | 21 | 2022 |
| Spatiotemporal phase unwrapping for real‐time phase‐contrast flow MRI M Untenberger, M Hüllebrand, L Tautz, AA Joseph, D Voit, KD Merboldt, ... Magnetic resonance in medicine 74 (4), 964-970, 2015 | 19 | 2015 |
| Mixture-model-based segmentation of myocardial delayed enhancement MRI A Hennemuth, O Friman, M Huellebrand, HO Peitgen Statistical Atlases and Computational Models of the Heart. Imaging and …, 2013 | 19 | 2013 |
| Cascaded neural network-based CT image processing for aortic root analysis N Krüger, A Meyer, L Tautz, M Hüllebrand, I Wamala, M Pullig, M Kofler, ... International journal of computer assisted radiology and surgery 17 (3), 507-519, 2022 | 14 | 2022 |
| 4D flow CMR analysis comparing patients with anatomically shaped aortic sinus prostheses, tube prostheses and healthy subjects introducing the wall shear stress gradient: a … MM Sieren, V Schultz, B Fujita, F Wegner, M Huellebrand, ... Journal of Cardiovascular Magnetic Resonance 22 (1), 59, 2020 | 11 | 2020 |
| Virtual downsizing for decision support in mitral valve repair M Neugebauer, L Tautz, M Hüllebrand, S Sündermann, F Degener, ... International journal of computer assisted radiology and surgery 14, 357-371, 2019 | 11 | 2019 |
| Population-based reference values for 4D flow MRI derived aortic blood flow parameters M Schafstedde, L Jarmatz, J Brüning, M Hüllebrand, S Nordmeyer, ... Physiological measurement 44 (3), 035003, 2023 | 8 | 2023 |
| Deep-learning-based myocardial pathology detection M Ivantsits, M Huellebrand, S Kelle, SO Schönberg, T Kuehne, ... Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 8 | 2021 |
| OsiriX plugin for integrated cardiac imaging research M Hüllebrand, A Hennemuth, D Messroghli, T Kühne Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and …, 2014 | 8 | 2014 |
| A software tool for the computation of arterial pulse wave velocity from flow-sensitive 4D MRI data J Drexl, H Mirzaee, A Harloff, M Hüllebrand, A Hennemuth, H Hahn Computing in Cardiology 2013, 559-562, 2013 | 8 | 2013 |
| Comparison of a hybrid mixture model and a cnn for the segmentation of myocardial pathologies in delayed enhancement MRI M Huellebrand, M Ivantsits, H Zhang, P Kohlmann, JM Kuhnigk, T Kuehne, ... International Workshop on Statistical Atlases and Computational Models of …, 2020 | 7 | 2020 |
| An extensible software platform for interdisciplinary cardiovascular imaging research M Huellebrand, D Messroghli, L Tautz, T Kuehne, A Hennemuth Computer methods and programs in biomedicine 184, 105277, 2020 | 7 | 2020 |
