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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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CVG Group DVL Group

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02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

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Fully automated segmentation and morphometrical analysis of muscle fibre images (bibtex)
Fully automated segmentation and morphometrical analysis of muscle fibre images (bibtex)
by Y.-J. Kim, T. Brox, W. Feiden and J. Weickert
Reference:
Fully automated segmentation and morphometrical analysis of muscle fibre images (Y.-J. Kim, T. Brox, W. Feiden and J. Weickert), In Cytometry Part A, volume 71, 2007. (available online)
Bibtex Entry:
@article{KBFW07,
 author = {Y.-J. Kim and T. Brox and W. Feiden and J. Weickert},
 title = {Fully automated segmentation and morphometrical analysis of muscle fibre images},
 journal = {Cytometry Part A},
 volume = {71},
 number = {1},
 pages = {8--15},
 month = {jan},
 year = {2007},
 preprint = {{Revised version of <a href="pub/pub/brox_pp177">Preprint No. 177</a>,
    Department of Mathematics, Saarland University, Saarbr{\"u}cken,
    Germany, July 2006.}},
 topic = {Segmentation, Medical Image Analysis},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More