Artefacts in CBCT: a review R Schulze, U Heil, D Groβ, DD Bruellmann, E Dranischnikow, ... Dentomaxillofacial Radiology 40 (5), 265-273, 2011 | 1059 | 2011 |
Feature sensitive surface extraction from volume data LP Kobbelt, M Botsch, U Schwanecke, HP Seidel Proceedings of the 28th annual conference on Computer graphics and …, 2001 | 738 | 2001 |
Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system A Salman, SA Siddiqui, F Shafait, A Mian, MR Shortis, K Khurshid, ... ICES Journal of Marine Science 77 (4), 1295-1307, 2020 | 115 | 2020 |
Real-time monocular pose estimation of 3D objects using temporally consistent local color histograms H Tjaden, U Schwanecke, E Schomer Proceedings of the IEEE international conference on computer vision, 124-132, 2017 | 104 | 2017 |
A region-based gauss-newton approach to real-time monocular multiple object tracking H Tjaden, U Schwanecke, E Schömer, D Cremers IEEE transactions on pattern analysis and machine intelligence 41 (8), 1797-1812, 2018 | 66 | 2018 |
An open-world extension to knowledge graph completion models H Shah, J Villmow, A Ulges, U Schwanecke, F Shafait Proceedings of the AAAI conference on artificial intelligence 33 (01), 3044-3051, 2019 | 54 | 2019 |
Real-time monocular segmentation and pose tracking of multiple objects H Tjaden, U Schwanecke, E Schömer Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 52 | 2016 |
Interactive visualization for opportunistic exploration of large document collections S Lehmann, U Schwanecke, R Dörner Information Systems 35 (2), 260-269, 2010 | 43 | 2010 |
Interpolation and approximation with ruled surfaces J Hoschek, U Schwanecke The mathematics of surfaces 8, 213-231, 1998 | 43 | 1998 |
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness T Gietzen, R Brylka, J Achenbach, K Zum Hebel, E Schömer, M Botsch, ... PloS one 14 (1), e0210257, 2019 | 42 | 2019 |
An optimized video system for augmented reality in endodontics: a feasibility study DD Bruellmann, H Tjaden, U Schwanecke, P Barth Clinical oral investigations 17, 441-448, 2013 | 32 | 2013 |
Analysis and design of Hermite subdivision schemes B Juttler, U Schwanecke The Visual Computer 18 (5-6), 326-342, 2002 | 31 | 2002 |
GPU-based volume reconstruction from very few arbitrarily aligned X-ray images D Gross, U Heil, R Schulze, E Schoemer, U Schwanecke SIAM Journal on Scientific Computing 31 (6), 4204-4221, 2010 | 29 | 2010 |
Automated detection of patient movement during a CBCT scan based on the projection data RKW Schulze, M Michel, U Schwanecke Oral surgery, oral medicine, oral pathology and oral radiology 119 (4), 468-472, 2015 | 26 | 2015 |
Visualization of workpieces during simulation of milling processes U Schwanecke, C Sinn US Patent 7,149,668, 2006 | 23 | 2006 |
Auto calibration of a cone‐beam‐CT D Gross, U Heil, R Schulze, E Schoemer, U Schwanecke Medical Physics 39 (10), 5959-5970, 2012 | 21 | 2012 |
Ultrahigh temporal resolution of visual presentation using gaming monitors and G-Sync CH Poth, RM Foerster, C Behler, U Schwanecke, WX Schneider, ... Behavior research methods 50, 26-38, 2018 | 15 | 2018 |
High-Speed and Robust Monocular Tracking. H Tjaden, U Schwanecke, F Stein, E Schömer VISAPP (3), 462-471, 2015 | 14 | 2015 |
User interface controller for a computer U Schwanecke US Patent App. 12/363,763, 2009 | 14 | 2009 |
Projection‐based improvement of 3D reconstructions from motion‐impaired dental cone beam CT data S Niebler, E Schömer, H Tjaden, U Schwanecke, R Schulze Medical physics 46 (10), 4470-4480, 2019 | 13 | 2019 |