Prof. Dr. Dr. Jan Egger

Medical Image Analysis and Visualization:

AI in Medicine, Medical Deep Learning, Translational Science,

Image-Guided Therapy, AI-Guided Therapy, ChatGPT in Healthcare,

Machine Learning, Computer Vision, Data Augmentation, Segmentation,

Registration, Medical Visualization, Medical Image Processing,

Navigation Systems, Augmented Reality, Virtual Reality, Mixed Reality, ...

Breaking News:

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The ShapeMI workshop will happen again at Miccai this year!

https://shapemi.github.io/

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Happy to announce that our DREAMING challenge will happen at ISBI 2024!!

https://dreaming.ikim.nrw/

The challenge is about Diminished Reality for Emerging Applications in Medicine through Inpainting.

The training dataset can be downloaded at Zenodo: https://zenodo.org/records/10471365

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We are looking for more shapes for our MedShapeNet. If you want to contribute medical shapes, please get in contact with us! As reward for your efforts, we will include you as co-author in our next MedShapeNet paper!

https://medshapenet.ikim.nrw/

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Happy to announce that our Faking_it Team (A. Ferreira, N. Solak, J. Li, P. Dammann, J. Kleesiek, V. Alves and J. Egger) made the 1st Place at The International Brain Tumor Segmentation (BraTS) Cluster of Challenges (Adult Glioma) in 2023!!!

 

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If you are also working in Medical Mixed Reality and cannot wait for the Apple Vision Pro to arrive, please take a look at our speculative Perspective about the “Apple Vision Pro for Healthcare”:

https://arxiv.org/abs/2308.04313

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PhD Position in Medical Mixed Reality and Medical Image Processing

http://janegger.de/AIT_PhD_Job_Offer.pdf

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PostDoc Position in Medical Augmented Reality and Medical Image Processing!

http://janegger.de/AIT_PostDoc_JobOffer.pdf

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Check out our multicenter SEG.A Miccai Challenge about Aorta Segmentation/Meshing in 2023!!

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

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ShapeMI MICCAI 2023: Workshop on Shape in Medical Imaging will happen!!

https://shapemi.github.io/

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MedShapeNet is born:

https://medshapenet.ikim.nrw/

 

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For student projects / theses, please check:

http://www.janegger.de/start.html

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PhD Position in Medical AR available!

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MICCAI MAD Workshop is coming in 2022!!:

https://mad.ikim.nrw/

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A pre-proof of our paper about cranial implant design has just been published on the MIA website:

https://www.sciencedirect.com/science/article/pii/S1361841521002176

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Happy to announce, that the first article of the Cancers Special Issue has been published:

https://www.mdpi.com/2072-6694/13/12/3013

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Happy to announce, that I guest edit a Special Issue in Cancers (current IF 6.639):

Head and Neck Cancer Imaging and Image Analysis

https://www.mdpi.com/journal/cancers/special_issues/Head_Image

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Our AutoImplant Challenge summary paper has been pusblished with IEEE TMI (Early Access):

https://ieeexplore.ieee.org/document/9420655

Many thanks to all participants!!!

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The book "Computer-Aided Oral and Maxillofacial Surgery" has just been pusblished:

https://www.sciencedirect.com/book/9780128232996/computer-aided-oral-and-maxillofacial-surgery

Many thanks to all contributors!!!

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Stay tuned and pre-order:

https://www.amazon.de/-/en/Jan-Egger/dp/0128232994/ref=sr_1_1?dchild=1&keywords=9780128232996&qid=1618224254&sr=8-1

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A Reincarnation of the AutoImplant Challenge is coming to MICCAI 2021. Please stay tuned!

https://autoimplant2021.grand-challenge.org/

https://zenodo.org/record/4577269#.YGR_MT-xXmG

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We got the Honorable Mention Poster Award at the SPIE Medical Imaging for our contribution: A Cloud-Based Centerline Algorithm for Studierfenster

The paper can be found here:

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11601/2588268/A-cloud-based-centerline-algorithm-for-Studierfenster/10.1117/12.2588268.short

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Some more news from enFaced:

https://www.kleinezeitung.at/steiermark/weiz/5913474/enFaced_Ein-smartes-Navi-fuer-den-Operationssaal

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Our AutoImplant 2020 Challenge Proceedings has just been published by Springer:

https://link.springer.com/book/10.1007%2F978-3-030-64327-0

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Congratulations to Maximilian Weber for winning with enFaced the Junge Wirtschaft Steiermark Elevator Pitch in 2020!!

https://stmk.wirtschaftszeit.at/unternehmen-detail/article/maximilian-weber-holt-sich-sieg-beim-elevator-pitch-der-jungen-wirtschaft-steiermark

© Foto Fischer

The Elevator Pitch can be re-viewed here:

https://www.facebook.com/161500193891157/videos/386063466170238/?__so__=watchlist&__rv__=video_home_www_playlist_video_list

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Congratulations to the whole enFaced Team for winning the Start-up Camp Award from the Austria Wirtschaftsservice Gesellschaft (aws) in 2020, and further the Start-up Lab Award and Stipend for 2021!!

The corresponding Promotion Video can be viewed here:
https://www.youtube.com/watch?v=DemijrPm-CE&feature=youtu.be

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Congratulations to the Best Paper Award winners from the AutoImplant challenge:

https://www.rsipvision.com/ComputerVisionNews-2020November/32/

All Awards can be found here:

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

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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 from the University of Marburg, Germany, in 2016.
  • Austrian Privatdozent in Medical Image Analysis (Venia Docendi) 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 IKIM in Essen, Germany (https://ait.ikim.nrw/). 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