| Year |
Citation |
Score |
| 2014 |
Lessmann M, Würtz RP. Learning invariant object recognition from temporal correlation in a hierarchical network. Neural Networks : the Official Journal of the International Neural Network Society. 54: 70-84. PMID 24657573 DOI: 10.1016/j.neunet.2014.02.011 |
0.328 |
|
| 2009 |
Westphal G, Würtz RP. Combining feature- and correspondence-based methods for visual object recognition. Neural Computation. 21: 1952-89. PMID 19292649 DOI: 10.1162/neco.2009.12-07-675 |
0.319 |
|
| 2008 |
Krüger M, von der Malsburg C, Würtz RP. Self-organized evaluation of dynamic hand gestures for sign language recognition Understanding Complex Systems. 2008: 321-342. DOI: 10.1007/978-3-540-77657-4_15 |
0.634 |
|
| 2008 |
Westphal G, von der Malsburg C, Würtz RP. Feature-driven emergence of model graphs for object recognition and categorization Studies in Computational Intelligence. 91: 155-199. DOI: 10.1007/978-3-540-76831-9_7 |
0.667 |
|
| 2005 |
Tewes A, Würtz RP, Von Der Malsburg C. A flexible object model for recognising and synthesising facial expressions Lecture Notes in Computer Science. 3546: 81-90. |
0.67 |
|
| 2004 |
Wundrich IJ, von der Malsburg C, Würtz RP. Image representation by complex cell responses. Neural Computation. 16: 2563-75. PMID 15516274 DOI: 10.1162/0899766042321760 |
0.644 |
|
| 2004 |
Messer K, Kittler J, Sadeghi M, Hamouz M, Kostin A, Cardinaux F, Marcel S, Bengio S, Sanderson C, Poh N, Rodriguez Y, Czyz J, Vandendorpe L, McCool C, Lowther S, et al. Face authentication test on the BANCA database Proceedings - International Conference On Pattern Recognition. 4: 523-532. DOI: 10.1109/ICPR.2004.1333826 |
0.631 |
|
| 2003 |
Prodöhl C, Würtz RP, von der Malsburg C. Learning the Gestalt rule of collinearity from object motion. Neural Computation. 15: 1865-96. PMID 14511516 DOI: 10.1162/08997660360675071 |
0.663 |
|
| 2003 |
Loos HS, Wieczorek D, Würtz RP, von der Malsburg C, Horsthemke B. Computer-based recognition of dysmorphic faces. European Journal of Human Genetics : Ejhg. 11: 555-60. PMID 12891374 DOI: 10.1038/sj.ejhg.5200997 |
0.634 |
|
| 2002 |
Wundrich IJ, von der Malsburg C, Würtz RP. Image reconstruction from Gabor Magnitudes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2525: 117-126. |
0.624 |
|
| 2002 |
Wieghardt J, Würtz RP, Von Der Malsburg C. Learning the topology of object views Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2353: 747-760. |
0.663 |
|
| 2002 |
Lücke J, Von Der Malsburg C, Würtz RP. Macrocolumns as decision units Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 57-62. |
0.601 |
|
| 2001 |
König P, Kayser C, Bonin V, Würtz RP. Efficient evaluation of serial sections by iterative Gabor matching. Journal of Neuroscience Methods. 111: 141-50. PMID 11595280 DOI: 10.1016/S0165-0270(01)00439-3 |
0.388 |
|
| 1999 |
Becker M, Kefalea E, Maël E, Von Der Malsburg C, Pagel M, Triesch J, Vorbrüggen JC, Würtz RP, Zadel S. GripSee: a gesture-controlled robot for object perception and manipulation Autonomous Robots. 6: 203-221. DOI: 10.1023/A:1008839628783 |
0.676 |
|
| 1993 |
Lades M, Vorbruggen J, Buhmann J, Lange J, von der Malsburg C, Wurtz R, Konen W. Distortion invariant object recognition in the dynamic link architecture Ieee Transactions On Computers. 42: 300-311. DOI: 10.1109/12.210173 |
0.682 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2005 |
Würtz RP. Organic Computing Methods for Face Recognition (Methoden des Organic Computing zur Gesichtserkennung) It - Information Technology. 47. DOI: 10.1524/itit.2005.47.4.207 |
0.271 |
|
| 2014 |
Leßmann M, Würtz RP. Online learning of invariant object recognition in a hierarchical neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8681: 427-434. DOI: 10.1007/978-3-319-11179-7-54 |
0.239 |
|
| 1997 |
Würtz RP. Object recognition robust under translations, deformations, and changes in background Ieee Transactions On Pattern Analysis and Machine Intelligence. 19: 769-775. DOI: 10.1109/34.598234 |
0.236 |
|
| 1997 |
Lourens T, Würtz RP. Object recognition by matching symbolic edge graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1352: 193-200. |
0.223 |
|
| 2004 |
Westphal G, Würtz RP. Fast object and pose recognition through minimum entropy coding Proceedings - International Conference On Pattern Recognition. 3: 53-56. |
0.215 |
|
| 2013 |
Müller MK, Tremer M, Bodenstein C, Würtz RP. Learning invariant face recognition from examples. Neural Networks : the Official Journal of the International Neural Network Society. 41: 137-46. PMID 22883303 DOI: 10.1016/j.neunet.2012.07.006 |
0.201 |
|
| 2010 |
Günther M, Müller MK, Würtz RP. Two kinds of statistics for better face recognition Aip Conference Proceedings. 1281: 1901-1904. DOI: 10.1063/1.3498288 |
0.199 |
|
| 1997 |
McKenna SJ, Gong S, Würtz RP, Tanner J, Banin D. Tracking facial feature points with Gabor wavelets and shape models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1206: 35-42. |
0.197 |
|
| 2007 |
Müller MK, Heinrichs A, Tewes AHJ, Schäfer A, Würtz RP. Similarity rank correlation for face recognition under unenrolled pose Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4642: 67-76. |
0.197 |
|
| 2011 |
Schneider HJ, Kosilek RP, Günther M, Roemmler J, Stalla GK, Sievers C, Reincke M, Schopohl J, Würtz RP. A novel approach to the detection of acromegaly: accuracy of diagnosis by automatic face classification. The Journal of Clinical Endocrinology and Metabolism. 96: 2074-80. PMID 21508144 DOI: 10.1210/jc.2011-0237 |
0.193 |
|
| 2006 |
Heinrichs A, Müller MK, Tewes AHJ, Würtz RP. Emergent graphs with PCA-features for improved face recognition Aip Conference Proceedings. 860: 243-252. |
0.182 |
|
| 2008 |
Vollmar T, Maus B, Wurtz RP, Gillessen-Kaesbach G, Horsthemke B, Wieczorek D, Boehringer S. Impact of geometry and viewing angle on classification accuracy of 2D based analysis of dysmorphic faces. European Journal of Medical Genetics. 51: 44-53. PMID 18054308 DOI: 10.1016/j.ejmg.2007.10.002 |
0.18 |
|
| 2002 |
Würtz RP. Vision and touch for grasping Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2238: 74-86. |
0.178 |
|
| 2014 |
Balliu B, Würtz RP, Horsthemke B, Wieczorek D, Böhringer S. Classification and visualization based on derived image features: application to genetic syndromes. Plos One. 9: e109033. PMID 25405460 DOI: 10.1371/journal.pone.0109033 |
0.178 |
|
| 2009 |
Günther M, Würtz RP. Face detection and recognition using maximum likelihood classifiers on Gabor graphs International Journal of Pattern Recognition and Artificial Intelligence. 23: 433-461. DOI: 10.1142/S0218001409007211 |
0.173 |
|
| 2015 |
Günther M, Böhringer S, Wieczorek D, Würtz RP. Reconstruction of images from Gabor graphs with applications in facial image processing International Journal of Wavelets, Multiresolution and Information Processing. 13. DOI: 10.1142/S0219691315500198 |
0.171 |
|
| 2006 |
Schmidt PA, Maël E, Würtz RP. A sensor for dynamic tactile information with applications in human-robot interaction and object exploration Robotics and Autonomous Systems. 54: 1005-1014. DOI: 10.1016/j.robot.2006.05.013 |
0.167 |
|
| 2010 |
Donatti GS, Lomp O, Würtz RP. Evolutionary optimization of growing neural gas parameters for object categorization and recognition Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2010.5596682 |
0.167 |
|
| 2009 |
Donatti GS, Würtz RP. Using growing neural gas networks to represent visual object knowledge Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 54-58. DOI: 10.1109/ICTAI.2009.81 |
0.163 |
|
| 2015 |
Kosilek RP, Frohner R, Würtz RP, Berr CM, Schopohl J, Reincke M, Schneider HJ. Diagnostic use of facial image analysis software in endocrine and genetic disorders: review, current results and future perspectives. European Journal of Endocrinology / European Federation of Endocrine Societies. 173: M39-44. PMID 26162404 DOI: 10.1530/EJE-15-0429 |
0.162 |
|
| 2013 |
Kosilek RP, Schopohl J, Grunke M, Reincke M, Dimopoulou C, Stalla GK, Würtz RP, Lammert A, Günther M, Schneider HJ. Automatic face classification of Cushing's syndrome in women - a novel screening approach. Experimental and Clinical Endocrinology & Diabetes : Official Journal, German Society of Endocrinology [and] German Diabetes Association. 121: 561-4. PMID 23864496 DOI: 10.1055/s-0033-1349124 |
0.155 |
|
| 2012 |
Günther M, Haufe D, Würtz RP. Face recognition with disparity corrected gabor phase differences Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7552: 411-418. DOI: 10.1007/978-3-642-33269-2_52 |
0.152 |
|
| 2013 |
Frohner R, Würtz RP, Kosilek R, Schneider HJ. Optimising strategies for face classification in the detection of acromegaly | Optimierung der gesichtsklassifikation bei der erkennung von akromegalie Austrian Journal of Clinical Endocrinology and Metabolism. 6: 20-24. |
0.149 |
|
| 1997 |
Würtz RP. Context dependent feature groups, a proposal for object representation Behavioral and Brain Sciences. 20: 702-703. DOI: 10.1017/S0140525X97441602 |
0.14 |
|
| 2008 |
Lessmann M, Würtz RP. Image segmentation by a network of cortical macrocolumns with learned connection weights Ifip International Federation For Information Processing. 268: 177-186. DOI: 10.1007/978-0-387-09655-1_16 |
0.134 |
|
| 2000 |
Würtz RP, Lourens T. Corner detection in color images through a multiscale combination of end-stopped cortical cells Image and Vision Computing. 18: 531-541. DOI: 10.1016/S0262-8856(99)00061-X |
0.126 |
|
| 1997 |
Würtz RP, Lourens T. Corner detection in color images by multiscale combination of end-stopped cortical cells Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 902-906. |
0.126 |
|
| 2013 |
Frohner R, Kosilek R, Gogas D, Lammert A, Würtz R, Schneider H. Optimizing strategies for face classification in the detection of acromegaly Experimental and Clinical Endocrinology & Diabetes. 121. DOI: 10.1055/s-0033-1336738 |
0.125 |
|
| 2011 |
Walther T, Würtz RP. Autonomous learning of a human body model Proceedings of the International Joint Conference On Neural Networks. 357-364. DOI: 10.1109/IJCNN.2011.6033243 |
0.124 |
|
| 2015 |
Popp K, Kosilek R, Stalla G, Stieg M, Berr C, Reincke M, Witt M, Würtz R, Schneider H. Face classification technology as a new diagnostic tool for Cushing's syndrome – preliminary results Experimental and Clinical Endocrinology & Diabetes. 122. DOI: 10.1055/s-0035-1549083 |
0.123 |
|
| 2007 |
Kusnezow W, Horn W, Wurtz RP. Fast image processing with constraints by solving linear PDEs Elcvia Electronic Letters On Computer Vision and Image Analysis. 6: 22. DOI: 10.5565/rev/elcvia.146 |
0.123 |
|
| 2009 |
Müller MK, Würtz RP. Learning from examples to generalize over pose and illumination Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5769: 643-652. DOI: 10.1007/978-3-642-04277-5_65 |
0.119 |
|
| 2010 |
Müller MK, Würtz RP. Learning invariances from examples 4th International Conference On Cognitive Systems, Cogsys 2010. |
0.116 |
|
| 2008 |
Walther T, Würtz RP. Learning to look at humans - What are the parts of a moving body? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5098: 22-31. DOI: 10.1007/978-3-540-70517-8_3 |
0.116 |
|
| 2010 |
Walther T, Würtz RP. Learning generic human body models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6169: 98-107. DOI: 10.1007/978-3-642-14061-7_10 |
0.114 |
|
| 2006 |
Boehringer S, Vollmar T, Tasse C, Wurtz RP, Gillessen-Kaesbach G, Horsthemke B, Wieczorek D. Syndrome identification based on 2D analysis software. European Journal of Human Genetics : Ejhg. 14: 1082-9. PMID 16773127 DOI: 10.1038/sj.ejhg.5201673 |
0.112 |
|
| 2009 |
Walther T, Würtz RP. Unsupervised learning of human body parts from video footage 2009 Ieee 12th International Conference On Computer Vision Workshops, Iccv Workshops 2009. 336-343. DOI: 10.1109/ICCVW.2009.5457680 |
0.109 |
|
| 2011 |
Boehringer S, Guenther M, Sinigerova S, Wurtz RP, Horsthemke B, Wieczorek D. Automated syndrome detection in a set of clinical facial photographs. American Journal of Medical Genetics. Part A. 155: 2161-9. PMID 21815261 DOI: 10.1002/ajmg.a.34157 |
0.108 |
|
| 1999 |
Würtz RP, Konen W, Behrmann KO. On the performance of neuronal matching algorithms. Neural Networks : the Official Journal of the International Neural Network Society. 12: 127-134. PMID 12662721 DOI: 10.1016/S0893-6080(98)00112-9 |
0.093 |
|
| 1996 |
Würtz RP, von der Malsburg C. A Hierarchical Dynamic Link Network to Solve the Visual Correspondence Problem Perception. 25: 183-183. DOI: 10.1068/v96l0702 |
0.089 |
|
| 2019 |
Popp KH, Kosilek RP, Frohner R, Stalla GK, Athanasoulia-Kaspar A, Berr C, Zopp S, Reincke M, Witt M, Würtz RP, Deutschbein T, Quinkler M, Schneider HJ. Computer Vision Technology in the Differential Diagnosis of Cushing's Syndrome. Experimental and Clinical Endocrinology & Diabetes : Official Journal, German Society of Endocrinology [and] German Diabetes Association. PMID 31158898 DOI: 10.1055/a-0887-4233 |
0.083 |
|
| 2010 |
Würtz RP, Bellman KL, Schmeck H, Igel C. Editorial: Special issue on organic computing Acm Transactions On Autonomous and Adaptive Systems. 5. DOI: 10.1145/1837909.1837910 |
0.082 |
|
| 2011 |
Boehringer S, van der Lijn F, Liu F, Günther M, Sinigerova S, Nowak S, Ludwig KU, Herberz R, Klein S, Hofman A, Uitterlinden AG, Niessen WJ, Breteler MM, van der Lugt A, Würtz RP, et al. Genetic determination of human facial morphology: links between cleft-lips and normal variation. European Journal of Human Genetics : Ejhg. 19: 1192-7. PMID 21694738 DOI: 10.1038/Ejhg.2011.110 |
0.061 |
|
| 2018 |
Walther T, Würtz RP. Unsupervised construction of human body models Cognitive Systems Research. 47: 68-84. DOI: 10.1016/j.cogsys.2017.08.001 |
0.056 |
|
| 2003 |
Lourens T, Würtz RP. Extraction and matching of symbolic contour graphs International Journal of Pattern Recognition and Artificial Intelligence. 17: 1279-1302. DOI: 10.1142/S0218001403002848 |
0.055 |
|
| 2008 |
Würtz RP. Introduction: Organic computing Understanding Complex Systems. 2008: 1-6. DOI: 10.1007/978-3-540-77657-4_1 |
0.035 |
|
| 2014 |
Bellman K, Tomforde S, Würtz RP. Self-improving system integration - Preface for the SISSY14 workshop Proceedings - 2014 Ieee 8th International Conference On Self-Adaptive and Self-Organizing Systems Workshops, Sasow 2014. 122. DOI: 10.1109/SASOW.2014.20 |
0.033 |
|
| 1996 |
Würtz RP, Konen W, Behrmann KO. How fast can neuronal algorithms match patterns? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1112: 145-150. DOI: 10.1007/3-540-61510-5_28 |
0.032 |
|
| 2014 |
Bellman K, Tomforde S, Würtz RP. Interwoven systems: Self-improving systems integration Proceedings - 2014 Ieee 8th International Conference On Self-Adaptive and Self-Organizing Systems Workshops, Sasow 2014. 123-127. DOI: 10.1109/SASOW.2014.21 |
0.017 |
|
| 2000 |
Würtz RP. Gossiping Nets Artificial Intelligence. 119: 295-299. DOI: 10.1016/S0004-3702(00)00015-1 |
0.014 |
|
| 2012 |
Müller MK, Tremer M, Bodenstein C, Würtz RP. Study of person identification irrespective of situation | Lernen Situationsunabhängiger Personenerkennung Informatik-Spektrum. 35: 112-118. DOI: 10.1007/s00287-012-0598-3 |
0.01 |
|
| 1996 |
Hartmann RW, Wächter GA, Sergejew T, Würtz R, Düerkop J. 4,5-Dihydro-3-(2-pyrazinyl)naphtho[1,2-c]pyrazole: a potent and selective inhibitor of steroid-17 alpha-hydroxylase-C17,20-lyase (P450 17). Archiv Der Pharmazie. 328: 573-5. PMID 7492261 DOI: 10.1002/ardp.19953280703 |
0.01 |
|
| Hide low-probability matches. |