Jan Egger

Jan Egger

Team Lead AI-guided Therapies

Institute for AI in Medicine, Germany

Jan has over 10 years of experience in developing algorithms in medical image analysis and image-guided therapies, including five years of postdoctoral research and development in the healthcare industry. Until now, he has published over 150 peer-reviewed papers, edited several books and won numerous awards for the theses and publications. He is also the PI of the open science client/server-based medical platform StudierFenster (http://www.studierfenster.at) and is mentoring the transition of the medical Augmented Reality FWF-project “enFaced” into the Start-up “Augmentomy”. During his career, he supervised and co-supervised around 100 student theses and projects, and was involved in the acquisition of over 14 million euros in third party funding. He is Professor and holds a Ph.D. and a (German) Habilitation in Computer Science, and an interdisciplinary Ph.D. in Human Biology. Currently, Jan has a dual appointment at the Institute for Artificial Intelligence in Medicine (IKIM) at the Essen University Hospital (UKE) in Germany and the Institute of Computer Graphics and Vision (ICG) of the Graz University of Technology (TU Graz) in Austria, and he is a Privatdozent in AI in Medicine.

Please check out the Special Issue in Cancers (current IF 6.575 (2021)), where I am the Guest Editor: Head and Neck Cancer Imaging and Image Analysis (https://www.mdpi.com/journal/cancers/special_issues/Head_Image)

The Elsevier book, which I edited together with Prof. Xiaojun Chen from the Shanghai Jiao Tong University (SJTU): Computer-Aided Oral and Maxillofacial Surgery (https://www.sciencedirect.com/book/9780128232996/computer-aided-oral-and-maxillofacial-surgery)

The two MICCAI AutoImplant Springer proceedings, edited with Jianning Li: Towards the Automatization of Cranial Implant Design in Cranioplasty (https://link.springer.com/book/10.1007/978-3-030-64327-0)

Towards the Automatization of Cranial Implant Design in Cranioplasty II (https://link.springer.com/book/10.1007/978-3-030-92652-6#toc)

And the Miccai 2022 Workshop on Medical Applications with Disentanglements (MAD) (https://mad.ikim.nrw/)

Some videos of our research works can be found in my YouTube channel (sorry for the mess!): https://www.youtube.com/c/JanEgger/videos

A high-resolution version of the Brain Collage can be downloaded here (ca. 130 MB): https://files.icg.tugraz.at/f/44d14999939e41f58144/

It can be used freely, you don’t even need to credit me. A lower resolution version can be found in this paper (published Open Access under a Creative Commons license): https://www.sciencedirect.com/science/article/pii/S0169260722002565?via%3Dihub

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