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Julian Mattes
Julian Mattes
Key Researcher Knowledge-based Computer Vision
Verified email at vidiatech.at
Title
Cited by
Cited by
Year
Quantitative motion analysis and visualization of cellular structures
D Gerlich, J Mattes, R Eils
Methods 29 (1), 3-13, 2003
812003
Quantitative analysis, visualization and movement correction in dynamic processes
J Mattes, R Eils, J Fieres, J Demon-Geot
US Patent 7,590,264, 2009
722009
Tree representation for image matching and object recognition
J Mattes, M Richard, J Demongeot
Discrete Geometry for Computer Imagery: 8th International Conference, DGCI …, 1999
581999
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
502003
Efficient algorithms to implement the confinement tree
J Mattes, J Demongeot
Discrete Geometry for Computer Imagery: 9th InternationalConference, DGCI …, 2000
442000
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
302010
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
292007
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
282006
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
242012
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
192001
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
182003
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
162010
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
152017
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
151999
Dynamic confinement, classification, and imaging
J Mattes, J Demongeot
Classification in the Information Age: Proceedings of the 22nd Annual GfKl …, 1999
151999
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
132019
Structural outlier detection for automatic landmark extraction
J Mattes, J Demongeot
Medical Imaging 2001: Image Processing 4322, 602-610, 2001
122001
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
121998
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
112002
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
102020
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