| Quantitative motion analysis and visualization of cellular structures D Gerlich, J Mattes, R Eils Methods 29 (1), 3-13, 2003 | 81 | 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 | 72 | 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 | 58 | 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 | 50 | 2003 |
| Efficient algorithms to implement the confinement tree J Mattes, J Demongeot Discrete Geometry for Computer Imagery: 9th InternationalConference, DGCI …, 2000 | 45 | 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 | 30 | 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 | 29 | 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 | 28 | 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 | 24 | 2012 |
| 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 | 19 | 2001 |
| 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 | 18 | 2003 |
| 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 | 16 | 2017 |
| 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 | 16 | 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 | 15 | 1999 |
| Dynamic confinement, classification, and imaging J Mattes, J Demongeot Classification in the Information Age: Proceedings of the 22nd Annual GfKl …, 1999 | 15 | 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 | 13 | 2019 |
| Structural outlier detection for automatic landmark extraction J Mattes, J Demongeot Medical Imaging 2001: Image Processing 4322, 602-610, 2001 | 12 | 2001 |
| 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 | 12 | 1998 |
| 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 | 11 | 2002 |
| 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 | 10 | 2020 |
