Priv.-Doz. Dr. Dr. Jan Egger

Breaking News:

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Our AutoImplant 2020 Challenge Proceedings has just be announced by Springer, stay tuned:

https://www.springer.com/gp/book/9783030643263

Talks of the Challenge can be re-watched here:

https://www.youtube.com/channel/UCezKMoZWE4b-loM08hCe_Pw

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Looking already forward the Elsevier book about Computer-Aided Oral and Maxillofacial Surgery with Professor Xiaojun Chen from SJTU!

https://www.elsevier.com/books/computer-aided-oral-and-maxillofacial-surgery/egger/978-0-12-823299-6

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Very happy that we brought our enFaced project also into the OR after several years of hard work! Many thanks to Christina Gsaxner and Jürgen Wallner for making this big step happening!

Figure Legend - Augmented Reality (AR)-supported patient specific implant (PSI) reconstruction of orbital floor. From left to right: Pre-operative planning and visualization of the PSI (red) at the patient CT scan, pre-operative AR visualization of the PSI (patient awake, AR view), OR photo of facial surgeon wearing the HoloLens, intra-operative AR visualization of the PSI (patient anesthetized, AR view). Blue blocks for patient anonymization. Note, visual offset in the AR views caused by the Microsoft HoloLens video capture.

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We got the Best Paper Award for our Miccai CLIP paper:

"Single-shot Deep Volumetric Regression for Mobile Medical Augmented Reality"

https://link.springer.com/chapter/10.1007/978-3-030-60946-7_7

The corresponding talk can we re-watched here:

https://www.youtube.com/watch?v=yCEfPw9N2YU

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Happy to announce that we got one of the ultra-rare surveys in Medical Image Analysis accepted!

https://www.sciencedirect.com/science/article/pii/S1361841520301377

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Looking for a challenge? Join the new Miccai 2020 Cranial Implant Design Challenge organized by our group. The training data set is now available!

https://autoimplant.grand-challenge.org/

 

About me:

University Education:

  • German pre-diploma (~BSc) in Computer Science from the University of Wiesbaden, Germany, in 2001
  • German Diploma (~MSc) in Computer Science from the University of Wiesbaden, Germany, in 2004
  • Master’s degree in Computer Science from the University of Applied Sciences, Darmstadt, Germany, in 2006
  • Ph.D. in Computer Science from the University of Marburg, Germany, in 2009
  • Second interdisciplinary Ph.D. in Human Biology from the University Hospital of Marburg, Germany, in 2012
  • German Habilitation in Computer Science (Facultas Docendi) from the University of Marburg, Germany, in 2016.
  • Austrian Privatdozent in Medical Image Analysis (Venia Legendi) from the Graz University of Technology, Austria, in 2019.

Selected Professional Experiences:

  • Princeton (SCR) in 2003 & 2008
  • Siemens Healthcare (2006-2009)
  • Harvard Medical School (2011-2013)
  • Aalto University (2014)
  • Shanghai Jiao Tong University (2019)

Misc:

  • ~50 Peer-Reviewed first Author Publications and a first Author h-index of 20^^

 

Currently, I have a dual appointment and I am also employed at the Medical University of Graz. My research interests are Medical Image Analysis, Image-Guided Therapy, Translational Science, Computer Vision, Deep Learning and Data Augmentation.

 

If you are interested in doing a Bachelor Thesis, Master Project / Seminar or Master Thesis, do not hesitate to contact me! For open student topics check here

 

Note: Biomedical Engineering Students are welcome!

 

Check out some of our works on YouTube:

https://www.youtube.com/c/JanEgger/videos

 

our StudierFenster ...

 

the enFaced Project ...

 

... and the Computer Algorithms for Medicine Laboratory!

 


Contact
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Institute of Computer Graphics and Vision
Inffeldgasse 16c/2
8010 Graz

Room ID02054 

egger@icg.tugraz.at 

+43 316 873-5076 

Office hours: by appointment