Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Dieter Schmalstieg

Dieter Schmalstieg

DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM


Jul 22, 2019
Ryo Hachiuma, Christian Pirchheim, Dieter Schmalstieg, Hideo Saito

Figure 1 for DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM
Figure 2 for DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM
Figure 3 for DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM
Figure 4 for DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM
* 12 pages, 4 figures, 4 tables, accepted by BMVC 2019 spotlight session 
  Access Paper or Ask Questions

Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action


May 11, 2018
Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen, Irene Mischak, Knut Reinbacher, Mauro Pau, Tomislav Zrnc, Katja Schwenzer-Zimmerer, Wolfgang Zemann, Dieter Schmalstieg, Jan Egger

Figure 1 for Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action
Figure 2 for Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action
Figure 3 for Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action
Figure 4 for Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action
* Wallner J, et al. (2018) Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. PLoS ONE 13(5):e0196378 
 * 26 pages 
  Access Paper or Ask Questions

In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine


Mar 12, 2018
Jan Egger, Xiaojun Chen, Lucas Bettac, Mark Hänle, Tilmann Gräter, Wolfram Zoller, Dieter Schmalstieg, Alexander Hann

Figure 1 for In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine
Figure 2 for In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine
Figure 3 for In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine
* 5 pages, 3 Figures, 1 Table, The 2017 Biomedical Engineering International Conference (BMEiCON-2017) 
  Access Paper or Ask Questions

Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound


Oct 09, 2017
Alexander Hann, Lucas Bettac, Mark M. Haenle, Tilmann Graeter, Andreas W. Berger, Jens Dreyhaupt, Dieter Schmalstieg, Wolfram G. Zoller, Jan Egger

Figure 1 for Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound
Figure 2 for Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound
Figure 3 for Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound
Figure 4 for Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound
* Sci Rep. 2017 Oct 6;7(1):12779 
 * 7 pages, 3 Figures, 3 Tables, 46 References 
  Access Paper or Ask Questions

Computer-aided position planning of miniplates to treat facial bone defects


Aug 17, 2017
Jan Egger, Jürgen Wallner, Markus Gall, Xiaojun Chen, Katja Schwenzer-Zimmerer, Knut Reinbacher, Dieter Schmalstieg

Figure 1 for Computer-aided position planning of miniplates to treat facial bone defects
Figure 2 for Computer-aided position planning of miniplates to treat facial bone defects
Figure 3 for Computer-aided position planning of miniplates to treat facial bone defects
Figure 4 for Computer-aided position planning of miniplates to treat facial bone defects
* PLoS ONE 12(8): e0182839 (2017) 
 * 19 pages, 13 Figures, 2 Tables 
  Access Paper or Ask Questions

Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images


Apr 18, 2017
Jan Egger, Dieter Schmalstieg, Xiaojun Chen, Wolfram G. Zoller, Alexander Hann

Figure 1 for Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
Figure 2 for Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
Figure 3 for Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
Figure 4 for Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
* Sci. Rep. 7, 892, 2017 
 * 15 pages, 16 figures, 2 tables, 58 references 
  Access Paper or Ask Questions

US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions


Mar 02, 2016
Jan Egger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Xiaojun Chen, Wolfram G. Zoller, Dieter Schmalstieg, Alexander Hann

* SPIE Medical Imaging Conference 2016, Paper 9790-47 
 * 6 pages, 6 figures, 1 table, 32 references 
  Access Paper or Ask Questions

Interactive Volumetry Of Liver Ablation Zones


Oct 21, 2015
Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Alexander Hann, Xiaojun Chen, Tuomas Alhonnoro, Mika Pollari, Dieter Schmalstieg, Michael Moche

Figure 1 for Interactive Volumetry Of Liver Ablation Zones
Figure 2 for Interactive Volumetry Of Liver Ablation Zones
Figure 3 for Interactive Volumetry Of Liver Ablation Zones
Figure 4 for Interactive Volumetry Of Liver Ablation Zones
* Sci. Rep. 5, 15373; doi: 10.1038/srep15373 (2015) 
 * 18 pages, 15 figures, 8 tables, 57 references 
  Access Paper or Ask Questions