Jannis Hagenah

17 papers C 1Journal 7Unranked 9

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	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. Ping Lu, Chenyang Wang, Jannis Hagenah, Shadi Ghiasi, VITAL Consortium, Tingting Zhu, Louise Thwaites, David A. Clifton
2023	J	`jnl`	Landmark tracking in 4D ultrasound using generalized representation learning. Int. J. Comput. Assist. Radiol. Surg. Daniel Wulff, Jannis Hagenah, Floris Ernst
2022	J	`jnl`	Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing. Sensors Ping Lu, Shadi Ghiasi, Jannis Hagenah, Ho Bich Hai, Nguyen Van Hao, Phan Nguyen Quoc Khanh, Le Dinh Van Khoa, VITAL Consortium, Louise Thwaites, David A. Clifton, Tingting Zhu
2022	J	`jnl`	Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound. CoRR Daniel Wulff, Jannis Hagenah, Floris Ernst
2022	J	`jnl`	Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries. Sensors Shadi Ghiasi, Tingting Zhu, Ping Lu, Jannis Hagenah, Phan Nguyen Quoc Khanh, Nguyen Van Hao, VITAL Consortium, Louise Thwaites, David A. Clifton
2022	J	`jnl`	Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks. Frontiers Robotics AI Jonas Osburg, Ivo Kuhlemann, Jannis Hagenah, Floris Ernst
2021	—	`conf`	Discrete Pseudohealthy Synthesis: Aortic Root Shape Typification and Type Classification with Pathological Prior. MIDL Jannis Hagenah, Floris Ernst
2020	C	`conf`	Learning Local Feature Descriptions in 3D Ultrasound. BIBE Daniel Wulff, Jannis Hagenah, Svenja Ipsen, Floris Ernst
2020	J	`jnl`	Robotized Ultrasound Imaging of the Peripheral Arteries - a Phantom Study. CoRR Felix von Haxthausen, Jannis Hagenah, Mark Kaschwich, Markus Kleemann, Verónica García-Vázquez, Floris Ernst
2019	—	`conf`	Abstract: An SVR-Based Data-Driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development. Bildverarbeitung für die Medizin Jannis Hagenah, Tizian Evers, Michael Scharfschwerdt, Achim Schweikard, Floris Ernst
2019	—	`conf`	Abstract: Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images. Bildverarbeitung für die Medizin Jannis Hagenah, Mattias P. Heinrich, Floris Ernst
2019	—	`conf`	Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations. MIDL Jannis Hagenah, Kenneth Kühl, Michael Scharfschwerdt, Floris Ernst
2019	—	`conf`	Generating Healthy Aortic Root Geometries From Ultrasound Images of the Individual Pathological Morphology Using Deep Convolutional Autoencoders. CinC Jannis Hagenah, Mohamad Mehdi, Floris Ernst
2018	—	`conf`	A Support Vector Regression-Based Data-Driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development. CinC Jannis Hagenah, Tizian Evers, Michael Scharfschwerdt, Achim Schweikard, Floris Ernst
2018	—	`conf`	Towards Personalized Aortic Valve Prostheses - A Sparse Representation of the Individual Leaflet Shape. CinC Jannis Hagenah, Michael Scharfschwerdt, Floris Ernst
2017	—	`conf`	Combining Deformation Modeling and Machine Learning for Personalized Prosthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction. FIMH Jannis Hagenah, Michael Scharfschwerdt, Achim Schweikard, Christoph Metzner
2016	—	`conf`	Prediction of individual prosthesis size for valve-sparing aortic root reconstruction based on geometric features. EMBC Jannis Hagenah, Erik Werrmann, Michael Scharfschwerdt, Floris Ernst, Christoph Metzner