MarkusRempfler

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Markus Rempfler

Doctoral candidate and Scientific staff at the Image-Based Biomedical Modeling Group.

Contact

  • TU München
    IMETUM
    Boltzmannstr. 11
    D-85748 Garching
    Germany

  • Office: IMETUM 1.101
  • Email:
  • Phone: +49 89 289 10840

Research Interests

  • Learning and prediction in graphical models.
  • Combinatorial optimization.
  • Applications: Vessel segmentation and network reconstruction, multi-organ segmentation, cell tracking.

Teaching & Student Projects

Please contact me for available projects!

Besides, we offer theses in cooperation with Siemens Healthcare in Forchheim on cardiovascular image processing with emphasis on deep learning or computer graphics .

Lectures:

Code

Publications

2016
M. Rempfler, B. Andres, B. Menze
The minimum cost connected subgraph problem in medical image analysis
Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)
P. Christ, M.E.A. Elshaer, F. Ettlinger, S. Tatavarty, M. Bickel, P. Bilic, M. Rempfler, M. Armbruster, M. Hofmann, M. D'Anastasi, W.H. Sommer, A. Ahmadi, B. Menze
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)
E. Alberts, M. Rempfler, G. Alber, M. Huber, J. Kirschke, C. Zimmer, B. Menze
Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models
IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, April 2016 (bib)
U. Sivalingam, M. Wels, M. Rempfler, S. Grosskopf, M. Suehling, B. Menze
Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image force
Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, US, February 27, 2016. Proc. SPIE, vol. 9785 (bib)
2015
V. Zografos, A. Valentinitsch, M. Rempfler, F. Tombari, B. Menze
Hierarchical multi-organ segmentation without registration in 3D abdominal CT images
MICCAI-MCV 2015, 2015, Munich, Germany (bib)
M. Rempfler, M. Schneider, G. D. Ielacqua, X. Xiao, S. R. Stock, J. Klohs, G. Szekely, B. Andres, B. Menze
Reconstructing cerebrovascular networks under local physiological constraints by integer programming
Medical Image Analysis, Volume 25, Issue 1, Special Issue on MICCAI 2014 (bib)
M. Rempfler, M. Schneider, G. D. Ielacqua, X. Xiao, S. R. Stock, J. Klohs, G. Szekely, B. Andres, B. Menze
Rekonstruktion zerebraler Gefässnetzwerke aus in-vivo μMRA mittels physiologischem Vorwissen zur lokalen Gefässgeometrie
Bildverarbeitung fuer die Medizin (BVM 2015), Luebeck, Germany, March 2015 (bib)
2014
M. Rempfler, M. Schneider, G. D. Ielacqua, X. Xiao, S. R. Stock, J. Klohs, G. Szekely, B. Andres, B. Menze
Extracting Vascular Networks under Physiological Constraints via Integer Programming
Proceedings of the 17th Conference on Medical Image Computing and Computer Assisted Interventions - MICCAI, 2014, Boston, MA, USA (bib)


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Title: M.Sc.
Circumference of your head (in cm): 1337
Firstname: Markus
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Lastname: Rempfler
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Nationality: Switzerland
Languages: English, German, French
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Position: Scientific Staff
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Room: IMETUM 1.101
Telephone: +498928910930
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