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Aortic Valve Leaflet Shape Synthesis With Geometric Prior From Surrounding Tissue (2022), in: Frontiers in Cardiovascular Medicine, 9(772222) | , and ,
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Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks (2022), in: Frontiers in Robotics and AI, 9 | , , and ,
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Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound, in: Proceedings of Medical Imaging with Deep Learning (MIDL) 2021, 2021 | , and ,
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Cross Data Set Generalization of Ultrasound Image Augmentation using Representation Learning: A Case Study, in: Current Directions in Biomedical Engineering, pages 755-758, 2021 | , , and ,
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Discrete Pseudohealthy Synthesis: Aortic Root Shape Typification and Type Classification with Pathological Prior, in: Proceedings of Medical Imaging with Deep Learning (MIDL) 2021, PMLR, pages 252--267, 2021 | and ,
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Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends (2021), in: Current Robotics Reports, 2(55-71) | , , , , and ,
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Fully Data-Driven Pseudohealthy Synthesis for Planning Valve-Sparing Aortic Root Reconstruction using Conditional Variational Autoencoders (2020), in: Current Directions in Biomedical Engineering, 6:3(284 - 287) | , and ,
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Learning Local Feature Descriptions in 3D Ultrasound, in: 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), IEEE Computer Society, pages 323-330, 2020 | , , and ,
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Localization of endovascular tools in X-ray images using a motorized C-arm: visualization on HoloLens, in: Current Directions in Biomedical Engineering, pages 20200029, De Gruyter, 2020 | , , , , , , , and ,
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Robotized ultrasound imaging of the peripheral arteries – a phantom study, in: Current Directions in Biomedical Engineering, pages 20200033, De Gruyter, 2020 | , , , , and ,
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Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations (2019), in: Proceedings of Machine Learning Research, 102(236--249) | , , and ,
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Generating Healthy Aortic Root Geometries from Ultrasound Images of the Individual Pathological Morphology Using Deep Convolutional Autoencoders (2019), in: Computing in Cardiology | , and ,
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Head Movement Detection from Radial k-Space Lines using Convolutional Neural Networks - A Digital Phantom Study (2019), in: Annual Meeting of the International Society of Magnetic Resonance in Medicine | , , , and ,
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Integrating Label Uncertainty in Ultrasound Image Classification using Weighted Support Vector Machines (2019), in: Current Directions in Biomedical Engineering, 5:1(285 - 287) | , and ,
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An SVR-based Data-driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development (2018), in: Computing in Cardiology, 45 | , , , and ,
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Deep transfer learning for aortic root dilation identification in 3D ultrasound images (2018), in: Current Directions in Biomedical Engineering, 4:1(71-74) | , and ,
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Image-based analysis of individual movement patterns of C. elegans (2018), in: International Conference on Systems Biology 2018 | , , , and ,
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Learning motion artefacts in non - Cartesian magnetic resonance imaging (2018), in: Biomedical Technology/Biomedizinische Technik, 63:S1(S280) | , , and ,
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Towards personalized aortic valve prostheses - A sparse representation of the individual leaflet shape (2018), in: Computing in Cardiology, 45 | , and ,
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An experimental method for evaluation of aortic leaflet shape models for personalized aortic valve prostheses development (2017), in: 10. Jahrestagung der Deutschen Gesellschaft fuer Biomechanik(114) | , , and ,
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Combining Deformation Modeling and Machine Learning for Personalized Prosthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction (2017), in: Lecture Notes in Computer Science, 10263(461-470) | , , and ,
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Data-driven leaflet modeling for personalized aortic valve prostheses development (2017), in: Biomedical Engineering / Biomedizinische Technik, 62(403-411) | , , and ,
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Simplified deformation models for personalization of valve-sparing aortic root reconstruction (2017), in: 10. Jahrestagung der Deutschen Gesellschaft fuer Biomechanik(120) | , and ,
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A machine learning approach for planning valve-sparing aortic root reconstruction (2016), in: Current Directions in Biomedical Engineering, Vol. 1(p. 361-365) | , , and ,
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Prediction of individual aortic root prosthesis size: Deformation modeling as an alternative to direct estimation (2016), in: Dreiländertagung BMT 2016 | , , and ,
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Prediction of Individual Prosthesis Size for Valve-Sparing Aortic Root Reconstruction Based on Geometric Features, in: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '16), EMBS, Orlando, FL, USA, pages 3273-3276, IEEE, 2016 | , , , and ,
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A machine learning approach for planning valve-sparing aortic root reconstruction (2015), in: Current Directions on Biomedical Engineering, 1(361-365) | , , and ,
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An approach for patient specific modeling of the aortic valve leaflets, in: BioMedTec Studierendentagung, 2014 | , , , , and ,
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A setup for ultrasound based assessment of the aortic root geometry, 2013 | , , , , , and ,
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Erstellung eines patientenindividuellen Modells der Aortenklappe, Universität zu Lübeck, 2013 | ,
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