J. Hagenah

发表

Deep transfer learning for aortic root dilation identification in 3D ultrasound images

M. Heinrich, F. Ernst, J. Hagenah, 2018, Current Directions in Biomedical Engineering.

Sepsis Mortality Prediction Using Wearable Monitoring in Low–Middle Income Countries

D. Clifton, J. Hagenah, P. Q. Khanh, 2022, Sensors.

Cross Data Set Generalization of Ultrasound Image Augmentation using Representation Learning: A Case Study

F. Ernst, J. Hagenah, Daniel Wulff, 2021, Current Directions in Biomedical Engineering.

Landmark tracking in 4D ultrasound using generalized representation learning

F. Ernst, J. Hagenah, Daniel Wulff, 2022, International Journal of Computer Assisted Radiology and Surgery.

Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing

Le Dinh Van Khoa, Ho Bich Hai, D. Clifton, 2022, Sensors.

Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks

I. Kuhlemann, F. Ernst, J. Hagenah, 2022, Frontiers in Robotics and AI.

Prediction of individual prosthesis size for valve-sparing aortic root reconstruction based on geometric features

Floris Ernst, Jannis Hagenah, Michael Scharfschwerdt, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends

J. Hagenah, V. García-Vázquez, Felix von Haxthausen, 2021, Current Robotics Reports.

Robotized ultrasound imaging of the peripheral arteries – a phantom study

Floris Ernst, Jannis Hagenah, Markus Kleemann, 2020, Current Directions in Biomedical Engineering.

Current Directions in Biomedical Engineering

Floris Ernst, Jannis Hagenah, Verónica García-Vázquez, 2020 .

Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network

D. Clifton, J. Hagenah, S. Ghiasi, 2022, IEEE Transactions on Biomedical Engineering.

Towards Personalised Aortic Valve Prostheses: A Compact Description of the Individual Valve Geometry

Floris Ernst, Jannis Hagenah, Michael Scharfschwerdt, 2018, 2018 Computing in Cardiology Conference (CinC).

Integrating Label Uncertainty in Ultrasound Image Classification using Weighted Support Vector Machines

F. Ernst, J. Hagenah, Sascha Leymann, 2019, Current Directions in Biomedical Engineering.

Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit

Ho Bich Hai, Miguel P. Xochicale, N. L. Vuong, 2023, Critical Care.

Aortic Valve Leaflet Shape Synthesis With Geometric Prior From Surrounding Tissue

F. Ernst, J. Hagenah, M. Scharfschwerdt, 2022, Frontiers in Cardiovascular Medicine.

Fully Data-Driven Pseudohealthy Synthesis for Planning Valve-Sparing Aortic Root Reconstruction using Conditional Variational Autoencoders

F. Ernst, J. Hagenah, Mohamad Mehdi, 2020, Current Directions in Biomedical Engineering.

Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients

Ho Bich Hai, Miguel P. Xochicale, C. T. Tam, 2024, Scientific reports.

Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data

Ho Bich Hai, Miguel P. Xochicale, C. T. Tam, 2024, Scientific reports.