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Jannis Hagenah
Jannis Hagenah
Department of Engineering Science, University of Oxford
Bestätigte E-Mail-Adresse bei eng.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Medical robotics for ultrasound imaging: current systems and future trends
F von Haxthausen, S Böttger, D Wulff, J Hagenah, V García-Vázquez, ...
Current Robotics Reports 2 (1), 55-71, 2021
152021
A setup for ultrasound based assessment of the aortic root geometry
J Hagenah, M Scharfschwerdt, B Stender, S Ott, R Friedl, HH Sievers, ...
Biomedical Engineering/Biomedizinische Technik 58 (SI-1-Track-O …, 2013
122013
Prediction of individual prosthesis size for valve-sparing aortic root reconstruction based on geometric features
J Hagenah, E Werrmann, M Scharfschwerdt, F Ernst, C Metzner
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
82016
Robotized ultrasound imaging of the peripheral arteries–a phantom study
F von Haxthausen, J Hagenah, M Kaschwich, M Kleemann, ...
Current Directions in Biomedical Engineering 6 (1), 2020
32020
Generating Healthy Aortic Root Geometries From Ultrasound Images of the Individual Pathological Morphology Using Deep Convolutional Autoencoders
J Hagenah, M Mehdi, F Ernst
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
32019
Integrating label uncertainty in ultrasound image classification using weighted support vector machines
J Hagenah, S Leymann, F Ernst
Current Directions in Biomedical Engineering 5 (1), 285-287, 2019
32019
An approach for patient specific modeling of the aortic valve leaflets
J Hagenah, M Scharfschwerdt, C Metzner, A Schlaefer, HH Sievers, ...
Biomedizinische Technik (BMT 2014), 2014
32014
Learning local feature descriptions in 3D ultrasound
D Wulff, J Hagenah, S Ipsen, F Ernst
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020
22020
Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations
J Hagenah, K Kühl, M Scharfschwerdt, F Ernst
International Conference on Medical Imaging with Deep Learning--Full Paper Track, 2018
22018
Deep transfer learning for aortic root dilation identification in 3D ultrasound images
J Hagenah, M Heinrich, F Ernst
Current Directions in Biomedical Engineering 4 (1), 71-74, 2018
22018
An SVR-Based Data-Driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development.
J Hagenah, T Evers, M Scharfschwerdt, A Schweikard, F Ernst
Bildverarbeitung für die Medizin, 295, 2019
12019
An Support Vector Regression-Based Data-Driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development
J Hagenah, T Evers, M Scharfschwerdt, A Schweikard, F Ernst
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
12018
Towards personalised aortic valve prostheses: A compact description of the individual valve geometry
J Hagenah, M Scharfschwerdt, F Ernst
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
12018
Combining deformation modeling and machine learning for personalized prosthesis size prediction in valve-sparing aortic root reconstruction
J Hagenah, M Scharfschwerdt, A Schweikard, C Metzner
International Conference on Functional Imaging and Modeling of the Heart …, 2017
12017
A machine learning approach for planning valve-sparing aortic root reconstruction
J Hagenah, M Scharfschwerdt, A Schlaefer, C Metzner
Current Directions in Biomedical Engineering 1 (1), 361-365, 2015
12015
Aortic Valve Leaflet Shape Synthesis With Geometric Prior From Surrounding Tissue
J Hagenah, M Scharfschwerdt, F Ernst
Frontiers in Cardiovascular Medicine 9 (772222), 2022
2022
Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound
D Wulff, J Hagenah, F Ernst
arXiv preprint arXiv:2201.03319, 2022
2022
Sepsis Mortality Prediction Using Wearable Monitoring in Low–Middle Income Countries
S Ghiasi, T Zhu, P Lu, J Hagenah, PNQ Khanh, NV Hao, L Thwaites, ...
Sensors 22 (10), 3866, 2022
2022
Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks
J Osburg, I Kuhlemann, J Hagenah, F Ernst
Frontiers in Robotics and AI, 114, 2022
2022
Cross Data Set Generalization of Ultrasound Image Augmentation using Representation Learning: A Case Study
D Wulff, M Mehdi, F Ernst, J Hagenah
Current Directions in Biomedical Engineering 7 (2), 755-758, 2021
2021
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