Jannis Hagenah
Orcid: 0000-0002-3320-0186
According to our database1,
Jannis Hagenah
authored at least 17 papers
between 2016 and 2023.
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Bibliography
2023
Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network.
IEEE Trans. Biomed. Eng., April, 2023
Int. J. Comput. Assist. Radiol. Surg., March, 2023
2022
Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing.
Sensors, 2022
Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries.
Sensors, 2022
Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks.
Frontiers Robotics AI, 2022
Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound.
CoRR, 2022
2021
Discrete Pseudohealthy Synthesis: Aortic Root Shape Typification and Type Classification with Pathological Prior.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
2020
CoRR, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Generating Healthy Aortic Root Geometries From Ultrasound Images of the Individual Pathological Morphology Using Deep Convolutional Autoencoders.
Proceedings of the 46th Computing in Cardiology, 2019
Abstract: Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Abstract: An SVR-Based Data-Driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
Towards Personalized Aortic Valve Prostheses - A Sparse Representation of the Individual Leaflet Shape.
Proceedings of the Computing in Cardiology, 2018
A Support Vector Regression-Based Data-Driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development.
Proceedings of the Computing in Cardiology, 2018
2017
Combining Deformation Modeling and Machine Learning for Personalized Prosthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2016
Prediction of individual prosthesis size for valve-sparing aortic root reconstruction based on geometric features.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016