Annika Hänsch

According to our database, Annika Hänsch authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation.

Felix Thielke, Farina Kock, Annika Hänsch, Nasreddin Abolmaali, Andrea Schenk, Hans Meine

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Improving deep learning based liver vessel segmentation using automated connectivity analysis.

Felix Thielke, Farina Kock, Annika Hänsch, Joachim Georgii, Nasreddin Abolmaali, Itaru Endo, Hans Meine, Andrea Schenk

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Deep learning-assisted fully automatic fiber tracking for tremor treatment.

Annika Hänsch, Jürgen W. Jenne, Neeraj Upadhyay, Carsten Schmeel, Veronika Purrer, Ullrich Wüllner, Jan Klein

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases.

Annika Hänsch, Felix Thielke, Hans Meine, Shereen Rennebaum, Matthias F. Froelich, Lena S. Becker, Jan B. Hinrichs, Andrea Schenk

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2020

Learning a Loss Function for Segmentation: A Feasibility Study.

Jan Hendrik Moltz, Annika Hänsch, Bianca Lassen-Schmidt, Benjamin Haas, A. Genghi, J. Schreier, Tomasz Morgas, Jan Klein

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations.

Volker Dicken, Annika Hänsch, Jan Hendrik Moltz, Benjamin Haas, Thomas Coradi, Tomasz Morgas, Jan Klein

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation.

Annika Hänsch, Bastian Cheng, Benedikt Frey, Carola Mayer, Marvin Petersen, Iris Lettow, Farhad Yazdan Shenas, Götz Thomalla, Jan Klein, Horst K. Hahn

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning.

Annika Hänsch, Volker Dicken, Jan Klein, Tomasz Morgas, Benjamin Haas, Horst K. Hahn

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

Comparison of different deep learning approaches for parotid gland segmentation from CT images.

Annika Hänsch, Michael Schwier, Tobias Gass, Tomasz Morgas, Benjamin Haas, Jan Klein, Horst K. Hahn

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018