Julian Mattes
Julian Mattes
Key Researcher Knowledge-based Computer Vision
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Cited by
Cited by
Quantitative motion analysis and visualization of cellular structures
D Gerlich, J Mattes, R Eils
Methods 29 (1), 3-13, 2003
Quantitative analysis, visualization and movement correction in dynamic processes
J Mattes, R Eils, J Fieres, J Demon-Geot
US Patent 7,590,264, 2009
Tree representation for image matching and object recognition
J Mattes, M Richard, J Demongeot
Discrete Geometry for Computer Imagery: 8th International Conference, DGCI …, 1999
Multiscale modeling and imaging: the challenges of biocomplexity
J Demongeot, J Bezy-Wendling, J Mattes, P Haigron, N Glade, ...
Proceedings of the IEEE 91 (10), 1723-1737, 2003
Efficient algorithms to implement the confinement tree
J Mattes, J Demongeot
Discrete Geometry for Computer Imagery: 9th InternationalConference, DGCI …, 2000
Tracking and quantitative analysis of dynamic movements of cells and particles
K Rohr, WJ Godinez, N Harder, S Wörz, J Mattes, W Tvaruskó, R Eils
Cold Spring Harbor Protocols 2010 (6), pdb. top80, 2010
Quantification and visualization of the motion and deformation of one or several objects inside a living entity
J Mattes, I Chemelli-Steingruber, R Schubert, K Fritscher, M Netzer
US Patent App. 11/704,890, 2007
Analyzing motion and deformation of the cell nucleus for studying co-localizations of nuclear structures
J Mattes, J Nawroth, P Boukamp, R Eils, KM Greulich-Bode
3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006
Monitoring the cytoskeletal EGF response in live gastric carcinoma cells
M Felkl, K Tomas, M Smid, J Mattes, R Windoffer, RE Leube
Public Library of Science 7 (9), e45280, 2012
Evaluation of epidermal growth factor receptor signaling effects in gastric cancer cell lines by detailed motility-focused phenotypic characterization linked with molecular …
S Keller, J Kneissl, V Grabher-Meier, S Heindl, J Hasenauer, D Maier, ...
BMC cancer 17, 1-15, 2017
Informatics United
J Wiemer, F Schubert, M Granzow, T Ragg, J Fieres, J Mattes, R Eils
Methods of information in medicine 42 (02), 126-133, 2003
An active contour model for segmentation based on cubic B-splines and gradient vector flow
M Gebhard, J Mattes, R Eils
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2001: 4th …, 2001
Learning cellular texture features in microscopic cancer cell images for automated cell-detection
T Kazmar, M Šmid, M Fuchs, B Luber, J Mattes
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
Tree representation and implicit tree matching for a coarse to fine image matching algorithm
J Mattes, J Demongeot
International Conference on Medical Image Computing and Computer-Assisted …, 1999
Dynamic confinement, classification, and imaging
J Mattes, J Demongeot
Classification in the Information Age: Proceedings of the 22nd Annual GfKl …, 1999
MET as resistance factor for afatinib therapy and motility driver in gastric cancer cells
K Ebert, J Mattes, T Kunzke, G Zwingenberger, B Luber
PLoS One 14 (9), e0223225, 2019
Parallel image processing using neural networks: Applications in contrast enhancement of medical images
J Mattes, D Trystram, J Demongeot
Parallel Processing Letters 8 (01), 63-76, 1998
Structural outlier detection for automatic landmark extraction
J Mattes, J Demongeot
Medical Imaging 2001: Image Processing 4322, 602-610, 2001
Determining the effects of trastuzumab, cetuximab and afatinib by phosphoprotein, gene expression and phenotypic analysis in gastric cancer cell lines
K Ebert, G Zwingenberger, E Barbaria, S Keller, C Heck, R Arnold, ...
BMC cancer 20, 1-19, 2020
Shape-adapted motion model based on thin-plate splines and point clustering for point set registration
J Mattes, J Fieres, R Eils
Medical Imaging 2002: Image Processing 4684, 518-527, 2002
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