Annika Hänsch

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Vessel Segmentation

Top Venues

Medical Imaging: Image Processing

Medical Imaging: Computer-Aided Diagnosis

Bildverarbeitung für die Medizin

Publications

Felix Thielke, Farina Kock, Annika Hänsch, Nasreddin Abolmaali, Andrea Schenk, Hans Meine
Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation. Medical Imaging: Image Processing (2023)
Annika Hänsch, Jürgen W. Jenne, Neeraj Upadhyay, Carsten Schmeel, Veronika Purrer, Ullrich Wüllner, Jan Klein
Deep learning-assisted fully automatic fiber tracking for tremor treatment. Medical Imaging: Image-Guided Procedures (2022)
Annika Hänsch, Felix Thielke, Hans Meine, Shereen Rennebaum, Matthias F. Froelich, Lena S. Becker, Jan B. Hinrichs, Andrea Schenk
Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases. Bildverarbeitung für die Medizin (2022)
Felix Thielke, Farina Kock, Annika Hänsch, Joachim Georgii, Nasreddin Abolmaali, Itaru Endo, Hans Meine, Andrea Schenk
Improving deep learning based liver vessel segmentation using automated connectivity analysis. Medical Imaging: Image Processing (2022)
Jan Hendrik Moltz, Annika Hänsch, Bianca Lassen-Schmidt, Benjamin Haas, A. Genghi, J. Schreier, Tomasz Morgas, Jan Klein
Learning a Loss Function for Segmentation: A Feasibility Study. ISBI (2020)
Volker Dicken, Annika Hänsch, Jan Hendrik Moltz, Benjamin Haas, Thomas Coradi, Tomasz Morgas, Jan Klein
Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations. Medical Imaging: Image Processing (2019)
Annika Hänsch, Volker Dicken, Jan Klein, Tomasz Morgas, Benjamin Haas, Horst K. Hahn
Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning. Medical Imaging: Computer-Aided Diagnosis (2019)
Annika Hänsch, Bastian Cheng, Benedikt Frey, Carola Mayer, Marvin Petersen, Iris Lettow, Farhad Yazdan Shenas, Götz Thomalla, Jan Klein, Horst K. Hahn
Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation. OR/MLCN@MICCAI (2019)
Annika Hänsch, Michael Schwier, Tobias Gass, Tomasz Morgas, Benjamin Haas, Jan Klein, Horst K. Hahn
Comparison of different deep learning approaches for parotid gland segmentation from CT images. Medical Imaging: Computer-Aided Diagnosis (2018)