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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, 55-71, 2021
352021
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
112013
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
92016
Direct medical costs of tetanus, dengue, and sepsis patients in an intensive care unit in vietnam
TM Hung, N Van Hao, LM Yen, A McBride, VQ Dat, HR van Doorn, ...
Frontiers in public health 10, 1665, 2022
62022
Sepsis Mortality Prediction Using Wearable Monitoring in Low–Middle Income Countries
S Ghiasi, T Zhu, P Lu, J Hagenah, PNQ Khanh, NV Hao, Vital Consortium, ...
Sensors 22 (10), 3866, 2022
52022
Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review
DM Tran, CL Thwaites, JI Van Nuil, J McKnight, AP Luu, C Paton, ...
Journal of Medical Internet Research 24 (2), e32392, 2022
52022
Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam
DK Ming, B Hernandez, S Sangkaew, NL Vuong, PK Lam, NM Nguyet, ...
PLOS Digital Health 1 (1), e0000005, 2022
42022
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
42020
Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network
P Lu, C Wang, J Hagenah, S Ghiasi, T Zhu, L Thwaites, DA Clifton
IEEE Transactions on Biomedical Engineering, 2022
32022
The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality
DK Ming, NM Tuan, B Hernandez, S Sangkaew, NL Vuong, HQ Chanh, ...
Frontiers in digital health 4, 2022
32022
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
Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations.
J Hagenah, K Kühl, M Scharfschwerdt, F Ernst
MIDL, 236-249, 2019
32019
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
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
22019
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
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
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
Functional Imaging and Modelling of the Heart: 9th International Conference …, 2017
22017
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
22014
Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing
P Lu, S Ghiasi, J Hagenah, HB Hai, NV Hao, PNQ Khanh, LDV Khoa, ...
Sensors 22 (17), 6554, 2022
12022
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
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