MaximilianBaust

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

Maximilian Baust

Maximilian Baust Dr. Maximilian Baust
Guest Researcher

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching bei München
room: MI 03.13.044
phone: +49 89 289 19412
mail: maximilian.baust@tum.de

Short Curriculum Vitae

  • 06/2017 - now: Senior R&D Engineer – Research Specialist at Konica Minolta Laboratory Europe
  • 10/2013 - 06/2017: Senior Research & Industrial Liaison Manager at TUM
  • 02/2012 - 09/2013: Engineer and Computer Vision Expert at Elektroniksystem- und Logistik-GmbH
  • 04/2008 - 10/2011: Scientific Assistant and Dr. rer. nat. in computer science at TUM
  • 10/2003 - 03/2008: Studies in Mathematics at TUM and ETH Zurich (Technomathematik)

Professional Services

  • Reviewer for IEEE Transactions on Medical Imaging
  • Reviewer for International Journal on Computer Vision
  • Reviewer for the Conference on Computer Vision and Pattern Recognition 2015
  • Reviewer for the European Conference on Computer Vision and Pattern Recognition 2014

Publications

Selected recent publications:

  • Slavcheva, M., Baust, M., Cremers, D., Ilic, S. (2017). KillingFusion?: Non-Rigid 3D Reconstruction Without Correspondences. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (Spotlight Presentation, to be published).

  • Sharma, K., Rupprecht, C., Caroli, A., Aparicio, M. C., Remuzzi, A., Baust, M., Navab, N. (2017). Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease. Scientific Reports, 7.

  • Hennersperger, C. & Baust, M. (2017) Play for Me: Image Segmentation via Seamless Playsourcing. The Computer Games Journal, 6(1), 1-16.

  • Stefanoiu, A., Weinmann, A., Storath, M., Navab, N., Baust, M. (2016). Joint Segmentation and Shape Regularization With a Generalized Forward–Backward Algorithm. IEEE Transactions on Image Processing, 25(7), 3384-3394.

  • Baust, M., Demaret, L., Storath, M., Navab, N., & Weinmann, A. (2015). Total variation regularization of shape signals. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 2075-2083).

Please refer to my google scholar profile for a complete overview.


UsersForm
Title: Dr.
Circumference of your head (in cm):  
Firstname: Maximilian
Middlename:  
Lastname: Baust
Picture: maxbaust_icon.png
Birthday:  
Nationality: Germany
Languages: English, German, Bavarian
Groups: Registration/Visualization, Segmentation, Microscopic Image Analysis, Crowdsourcing, Ultrasound
Expertise: Registration/Visualization, Segmentation, Computer Vision
Position: Guest
Status: Active
Emailbefore: maximilian.baust
Emailafter: tum.de
Room: MI 03.13.044
Telephone: +49 89 289 19412
Alumniactivity:  
Defensedate: 27 April 2012
Thesistitle: Polar Active Contours for Medical Applications
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