A Modular Framework for Post-Processing and Analysis of Fluorescence Microscopy Image Sequences of Subcellular Calcium Dynamics. - Daniel Schetelig; Insa M. A. Wolf; Björn-Philipp Diercks; Ralf Fliegert; Andreas H. Guse; Alexander Schlaefer; René Werner (Bildverarbeitung für die Medizin, 2015)

Phantom-based ground-truth generation for cerebral vessel segmentation and pulsatile deformation analysis. - Daniel Schetelig; Dennis Säring; Till Illies; Jan Sedlacik; Fabian Kording; René Werner (Image-Guided Procedures, 2016)

Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data. - Sven-Thomas Antoni; Omar M. F. Ismail; Daniel Schetelig; Björn-Philipp Diercks; René Werner; Insa M. A. Wolf; Andreas H. Guse; Alexander Schlaefer (Bildverarbeitung für die Medizin, 2017)

Defining Restrictions and Limits of Registration-Based Quantification of Geometric Deformation in Cerebral Blood Vessels. - Daniel Schetelig; Jan Sedlacik; Felix Schmidt; Jens Fiehler; René Werner (Bildverarbeitung für die Medizin, 2017)

Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study. - René Werner; Daniel Schetelig; Thilo Sothmann; Eike Mücke; Matthias Wilms; Bastian Cheng; Nils Daniel Forkert (Bildverarbeitung für die Medizin, 2017)

Toward intraoperative tissue classification: exploiting signal feedback from an ultrasonic aspirator for brain tissue differentiation. - Niclas Bockelmann; Daniel Schetelig; Denise Kesslau; Steffen Buschschlüter; Floris Ernst; Matteo Mario Bonsanto (Int. J. Comput. Assist. Radiol. Surg., 2022)

Ultrasonic Aspirator for Tissue Contact Detection: An Online Classification on Time-Series. - Niclas Bockelmann; Bennet Kahrs; Denise Kesslau; Daniel Schetelig; Matteo Mario Bonsanto; Steffen Buschschlüter; Floris Ernst (EMBC, 2023)