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Daniel Schetelig
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2020 – today
- 2023
- [c6]Niclas Bockelmann, Bennet Kahrs, Denise Kesslau, Daniel Schetelig, Matteo Mario Bonsanto, Steffen Buschschlüter, Floris Ernst:
Ultrasonic Aspirator for Tissue Contact Detection: An Online Classification on Time-Series. EMBC 2023: 1-7 - 2022
- [j1]Niclas Bockelmann
, Daniel Schetelig, Denise Kesslau, Steffen Buschschlüter, Floris Ernst
Toward intraoperative tissue classification: exploiting signal feedback from an ultrasonic aspirator for brain tissue differentiation. Int. J. Comput. Assist. Radiol. Surg. 17(9): 1591-1599 (2022)
2010 – 2019
- 2017
- [c5]René Werner, Daniel Schetelig, Thilo Sothmann
Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study. Bildverarbeitung für die Medizin 2017: 161-166 - [c4]Daniel Schetelig, Jan Sedlacik, Felix Schmidt, Jens Fiehler, René Werner:
Defining Restrictions and Limits of Registration-Based Quantification of Geometric Deformation in Cerebral Blood Vessels. Bildverarbeitung für die Medizin 2017: 191-196 - [c3]Sven-Thomas Antoni, Omar M. F. Ismail, Daniel Schetelig, Björn-Philipp Diercks, René Werner, Insa M. A. Wolf, Andreas H. Guse, Alexander Schlaefer
Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data. Bildverarbeitung für die Medizin 2017: 275-280 - 2016
- [c2]Daniel Schetelig, Dennis Säring, Till Illies, Jan Sedlacik, Fabian Kording, René Werner:
Phantom-based ground-truth generation for cerebral vessel segmentation and pulsatile deformation analysis. Image-Guided Procedures 2016: 978622 - 2015
- [c1]Daniel Schetelig, Insa M. A. Wolf, Björn-Philipp Diercks, Ralf Fliegert, Andreas H. Guse, Alexander Schlaefer
A Modular Framework for Post-Processing and Analysis of Fluorescence Microscopy Image Sequences of Subcellular Calcium Dynamics. Bildverarbeitung für die Medizin 2015: 401-406
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