Sven Haase - Publications

2014 Bernoulli Institute for Mathematics and Computer Science University of Groningen, Groningen, Netherlands 

8 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Köhler T, Haase S, Bauer S, Wasza J, Kilgus T, Maier-Hein L, Stock C, Hornegger J, Feußner H. Multi-sensor super-resolution for hybrid range imaging with application to 3-D endoscopy and open surgery Medical Image Analysis. 24: 220-234. DOI: 10.1016/  0.96
2015 Kilgus T, Heim E, Haase S, Prüfer S, Müller M, Seitel A, Fangerau M, Wiebe T, Iszatt J, Schlemmer HP, Hornegger J, Yen K, Maier-Hein L. Mobile markerless augmented reality and its application in forensic medicine International Journal of Computer Assisted Radiology and Surgery. 10: 573-586. DOI: 10.1007/s11548-014-1106-9  0.96
2014 Maier-Hein L, Groch A, Bartoli A, Bodenstedt S, Boissonnat G, Chang PL, Clancy NT, Elson DS, Haase S, Heim E, Hornegger J, Jannin P, Kenngott H, Kilgus T, Müller-Stich B, et al. Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction. Ieee Transactions On Medical Imaging. 33: 1913-30. PMID 24876109 DOI: 10.1109/TMI.2014.2325607  0.96
2014 Heim E, Kilgus T, Haase S, Iszatt J, Franz AM, Seitel A, Müller M, Fangerau M, Hornegger J, Meinzer HP, Maier-Hein L. GPGPU-accelerated anisotropic ICP for the registration of depth data | GPGPU-beschleunigter anisotroper ICP zur Registrierung von Tiefendaten Informatik Aktuell. 24-29. DOI: 10.1007/978-3-642-54111-7_10  0.96
2012 Bunte K, Haase S, Biehl M, Villmann T. Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences Neurocomputing. 90: 23-45. DOI: 10.1016/j.neucom.2012.02.034  0.96
2011 Villmann T, Haase S. Divergence-based vector quantization. Neural Computation. 23: 1343-92. PMID 21299418 DOI: 10.1162/NECO_a_00110  1
2011 Mwebaze E, Schneider P, Schleif FM, Aduwo JR, Quinn JA, Haase S, Villmann T, Biehl M. Divergence-based classification in learning vector quantization Neurocomputing. 74: 1429-1435. DOI: 10.1016/j.neucom.2010.10.016  0.96
2010 Villmann T, Haase S, Schleif FM, Hammer B, Biehl M. The mathematics of divergence based online learning in vector quantization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5998: 108-119. DOI: 10.1007/978-3-642-12159-3_10  0.96
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