Detecting Suspicious Relational Database Queries. - Stefan Böttcher; Rita Hartel; Matthias Kirschner (ARES, 2008)

Simultaneous Segmentation and Correspondence Establishment for Statistical Shape Models. - Marius Erdt; Matthias Kirschner; Stefan Wesarg (3DPH, 2009)

Structure Size Enhanced Histogram. - Stefan Wesarg; Matthias Kirschner (Bildverarbeitung für die Medizin, 2009)

Gradient magnitude vs. feature size: comparing 2D histograms for transfer function specification. - Stefan Wesarg; Matthias Kirschner (CGI, 2009)

Area Preserving Parameterisation of Shapes with Spherical Topology. - Matthias Kirschner; Stefan Wesarg (GI Jahrestagung, 2009)

Propagation of Shape Parameterisation for the Construction of a Statistical Shape Model of the Left Ventricle. - Matthias Kirschner; Stefan Wesarg (VMV, 2009)

Speed-Up Techniques for the Selfish Step Algorithm in Network Congestion Games. - Matthias Kirschner; Philipp Schengbier; Tobias Tscheuschner (SEA, 2009)

3D Statistical Shape Model Building using Consistent Parameterization. - Matthias Kirschner; Stefan Wesarg (Bildverarbeitung für die Medizin, 2010)

Fast automatic liver segmentation combining learned shape priors with observed shape deviation. - Marius Erdt; Matthias Kirschner (CBMS, 2010)

Smart manual landmarking of organs. - Marius Erdt; Matthias Kirschner; Stefan Wesarg (Image Processing, 2010)

Construction of groupwise consistent shape parameterizations by propagation. - Matthias Kirschner; Stefan Wesarg (Image Processing, 2010)

2D Histogram based volume visualization: combining intensity and size of anatomical structures. - Stefan Wesarg; Matthias Kirschner; M. Fawad Khan (Int. J. Comput. Assist. Radiol. Surg., 2010)

Konsistente Parametrisierung von Flächen vom Geschlecht 1 zur Bildung eines statistischen Formmodells des Wirbels. - Meike Becker; Matthias Kirschner; Stefan Wesarg (Bildverarbeitung für die Medizin, 2011)

Automatische Initialisierung von Formmodellen mittels modellbasierter Registrierung. - Matthias Kirschner; Stefan Wesarg (Bildverarbeitung für die Medizin, 2011)

Optimal Initialization for 3D Correspondence Optimization: An Evaluation Study. - Matthias Kirschner; Sebastian Gollmer; Stefan Wesarg; Thorsten M. Buzug (IPMI, 2011)

Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors. - Marius Erdt; Matthias Kirschner; Klaus Drechsler; Stefan Wesarg; Matthias Hammon; Alexander Cavallaro (ISBI, 2011)

Automatic Construction of Statistical Shape Models for Vertebrae. - Meike Becker; Matthias Kirschner; Simon Fuhrmann; Stefan Wesarg (MICCAI (2), 2011)

3D Active Shape Model Segmentation with Nonlinear Shape Priors. - Matthias Kirschner; Meike Becker; Stefan Wesarg (MICCAI (2), 2011)

Active shape models unleashed. - Matthias Kirschner; Stefan Wesarg (Image Processing, 2011)

Regularisierung lokaler Deformation im probabilistischen Active Shape Model. - Matthias Kirschner; Stefan Wesarg (Bildverarbeitung für die Medizin, 2012)

Articulated atlas for segmentation of the skeleton from head & neck CT datasets. - Sebastian Steger; Matthias Kirschner; Stefan Wesarg (ISBI, 2012)

A Generic Approach to Organ Detection Using 3D Haar-Like Features. - Florian Jung; Matthias Kirschner; Stefan Wesarg (Bildverarbeitung für die Medizin, 2013)

Segmentierung von Risikostrukturen der Otobasis für die minimal-invasive multi-port Chirurgie. - Meike Becker; Matthias Kirschner; Georgios Sakas (CURAC, 2013)

Visual Analytics for model-based medical image segmentation: Opportunities and challenges. - Tatiana von Landesberger; Sebastian Bremm; Matthias Kirschner; Stefan Wesarg; Arjan Kuijper (Expert Syst. Appl., 2013)

Model-Based Pancreas Segmentation in Portal Venous Phase Contrast-Enhanced CT Images. - Matthias Hammon; Alexander Cavallaro; Marius Erdt; Peter Dankerl; Matthias Kirschner; Klaus Drechsler; Stefan Wesarg; Michael Uder; Rolf Janka (J. Digit. Imaging, 2013)

Opening up the "black box" of medical image segmentation with statistical shape models. - Tatiana von Landesberger; Gennady L. Andrienko; Natalia V. Andrienko; Sebastian Bremm; Matthias Kirschner; Stefan Wesarg; Arjan Kuijper (Vis. Comput., 2013)

The Probabilistic Active Shape Model: From Model Construction to Flexible Medical Image Segmentation - Matthias Kirschner (2013)

Segmentation of risk structures for otologic surgery using the Probabilistic Active Shape Model (PASM). - Meike Becker; Matthias Kirschner; Georgios Sakas (Image-Guided Procedures, 2014)

Using image segmentation for evaluating 3D statistical shape models built with groupwise correspondence optimization. - Sebastian Gollmer; Matthias Kirschner; Thorsten M. Buzug; Stefan Wesarg (Comput. Vis. Image Underst., 2014)

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. - Geert Litjens 001; Robert Toth; Wendy J. M. van de Ven; Caroline Hoeks; Sjoerd Kerkstra; Bram van Ginneken; Graham Vincent; Gwenaël Guillard; Neil Birbeck; Jindang Zhang; Robin Strand; Filip Malmberg; et al. (Medical Image Anal., 2014)

Training Object Detectors if Only Large Objects are Labeled. - Daniel Pototzky; Matthias Kirschner; Azhar Sultan; Lars Schmidt-Thieme (BMVC, 2021)

Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-labeling. - Daniel Pototzky; Matthias Kirschner; Lars Schmidt-Thieme (GCPR, 2021)

Self-supervised Learning for Object Detection in Autonomous Driving. - Daniel Pototzky; Azhar Sultan; Matthias Kirschner; Lars Schmidt-Thieme (GCPR, 2021)

Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. - Amelie Haugg; Fabian M. Renz; Andrew A. Nicholson; Cindy Lor; Sebastian J. Götzendorfer; Ronald Sladky; Stavros Skouras; Amalia McDonald; R. Cameron Craddock; Lydia Hellrung; Matthias Kirschner; Marcus Herdener; et al. (NeuroImage, 2021)

Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community. - Jessica Royer; Casey Paquola; Sofie L. Valk; Matthias Kirschner; Seok-Jun Hong; Bo-yong Park; Richard A. I. Bethlehem; Robert Leech; B. T. Thomas Yeo; Elizabeth Jefferies; Jonathan Smallwood; Daniel S. Margulies; et al. (Neuroinformatics, 2024)