Projection Technique for Vortex-Free Image Registration. - Patrick Scheibe; Ulf-Dietrich Braumann; Jens-Peer Kuska (Bildverarbeitung für die Medizin, 2007)

Fluid Extensions for Optical Flow and Diffusion-Based Image Registration. - Jens-Peer Kuska; Patrick Scheibe; Ulf-Dietrich Braumann (Bildverarbeitung für die Medizin, 2008)

Fast fluid extensions for image registration algorithms. - Jens-Peer Kuska; Patrick Scheibe; Ulf-Dietrich Braumann (ICIP, 2008)

3D-Reconstruction of Basal Cell Carcinoma. - Patrick Scheibe; Tino Wetzig; Jens-Peer Kuska; Markus Löffler; Jan C. Simon; Uwe Paasch; Ulf-Dietrich Braumann (WBIR, 2010)

Inkrementelle lokal-adaptive Binarisierung zur Unterdrückung von Artefakten in der Knochenfeinsegmentierung. - Patrick Scheibe; Philipp Wüstling; Christian Voigt; Thomas Hierl; Ulf-Dietrich Braumann (Bildverarbeitung für die Medizin, 2012)

FluidTracks - Combining Nonlinear Image Registration and Active Contours for Cell Tracking. - Nico Scherf; Christian Ludborzs; Konstantin Thierbach; Jens-Peer Kuska; Ulf-Dietrich Braumann; Patrick Scheibe; Tilo Pompe; Ingmar Glauche; Ingo Roeder (Bildverarbeitung für die Medizin, 2012)

Prostate malignancy grading using gland-related shape descriptors. - Ulf-Dietrich Braumann; Patrick Scheibe; Markus Loeffler; Glen Kristiansen; Nicolas Wernert (Digital Pathology, 2014)

Rule-based integration: An extensive system of symbolic integration rules. - Albert D. Rich; Patrick Scheibe; Nasser M Abbasi (J. Open Source Softw., 2018)

A Parametric Model for the Analysis and Quantification of Foveal Shapes - Patrick Scheibe (2019)

AI for predicting chemical-effect associations at the chemical universe level - deepFPlearn. - Jana Schor; Patrick Scheibe; Matthias Bernt; Wibke Busch; Chih Lai; Jörg Hackermüller (Briefings Bioinform., 2022)

Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity. - Siawoosh Mohammadi; Tobias Streubel; Leonie Klock; Luke J. Edwards; Antoine Lutti; Kerrin Pine; Sandra Weber; Patrick Scheibe; Gabriel Ziegler; Jürgen Gallinat; Simone Kühn; Martina F. Callaghan; et al. (NeuroImage, 2022)

deepFPlearn +: enhancing toxicity prediction across the chemical universe using graph neural networks. - Kyriakos Soulios; Patrick Scheibe; Matthias Bernt; Jörg Hackermüller; Jana Schor (Bioinform., 2023)