Julian Mattes

发表

Structural outlier detection for automatic landmark extraction

Jacques Demongeot, Julian Mattes, J. Demongeot, 2001, SPIE Medical Imaging.

A Maximal Mass Confinement Principle for Rigid and Locally Rigid Image Registration

Julian Mattes, Johannes Gall, Alfredo Lopez, 2008, MICCAI.

Efficient Algorithms to Implement the Confinement Tree

Jacques Demongeot, Julian Mattes, J. Demongeot, 2000, DGCI.

Tracking and quantitative analysis of dynamic movements of cells and particles.

Nathalie Harder, Karl Rohr, Roland Eils, 2010, Cold Spring Harbor protocols.

Recursive water flow: A shape decomposition approach for cell clump splitting

Julian Mattes, Matthias Dorfer, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Assessing the similarity of spatial configurations using distance differences and bending energy: application to chromosomal interphase arrangements in HeLa cell clones

Roland Eils, Thomas Cremer, Julian Mattes, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Analyzing motion and deformation of the cell nucleus for studying co-localizations of nuclear structures

Roland Eils, Julian Mattes, Janna Nawroth, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Shape-adapted motion model based on thin-plate splines and point clustering for point set registration

Roland Eils, Julian Mattes, Johannes Fieres, 2002, SPIE Medical Imaging.

Neural networks for parallel contrast enhancement in medical images

Denis Trystram, Jacques Demongeot, Julian Mattes, 1995, HPCN Europe.

An Algorithm for Individual Intermediate Filament Tracking

Julian Mattes, Dmytro Kotsur, Roman Yakobenchuk, 2018, SaMBa@MICCAI.

A Point Set Registration Algorithm Using a Motion Model Based on Thin-Plate Splines and Point Clustering

Roland Eils, Julian Mattes, Johannes Fieres, 2001, DAGM-Symposium.

New Tools for Visualization and Quantification in Dynamic Processes: Application to the Nuclear Envelope Dynamics During Mitosis

Roland Eils, Julian Mattes, Jan Ellenberg, 2001, MICCAI.

Quantification of the migration and deformation of abdominal aortic aneurysm stent grafts

Karl D. Fritscher, Rainer Schubert, Julian Mattes, 2006, SPIE Medical Imaging.

3D inters-subject cardiac registration using 4D information

Karl D. Fritscher, Rainer Schubert, Julian Mattes, 2008, SPIE Medical Imaging.

A modular registration platform for multimodal image matching using ITK - first clinical application: localizing epileptogenic foci

Rainer Schubert, Julian Mattes, Reto J. Bale, 2004, CARS.

Tree Representation for Image Matching and Object Recognition

Jacques Demongeot, Julian Mattes, Mathieu Richard, 1999, DGCI.

An Active Contour Model for Segmentation Based on Cubic B-splines and Gradient Vector Flow

Roland Eils, Julian Mattes, Matthias Gebhard, 2001, MICCAI.

Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories

Olivier Debeir, Julian Mattes, Simone Keller, 2016, Medical Image Anal..

A Robust Semi-automatic Procedure for Motion Quantification of Aortic Stent Grafts Using Point Set Registration

Karl D. Fritscher, Rainer Schubert, Julian Mattes, 2006, Bildverarbeitung für die Medizin.

Tree Representation and Implicit Tree Matching for a Coarse to Fine Image Matching Algorithm

Jacques Demongeot, Julian Mattes, J. Demongeot, 1999, MICCAI.

Parallel Image Processing Using Neural Networks: Applications in Contrast Enhancement of Medical Images

Denis Trystram, Jacques Demongeot, Julian Mattes, 1998, Parallel Process. Lett..

Learning cellular texture features in microscopic cancer cell images for automated cell-detection

Julian Mattes, Birgit Luber, Tomas Kazmar, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Spatio-temporal changes and migration of stent grafts after endovascular aortic aneurysm repair

Karl D. Fritscher, Rainer Schubert, Julian Mattes, 2005 .

Evaluation of epidermal growth factor receptor signaling effects in gastric cancer cell lines by detailed motility-focused phenotypic characterization linked with molecular analysis

Jan Hasenauer, Julian Mattes, Dieter Maier, 2017, BMC Cancer.