Medical Image Analysis and Visualization:
Medical Deep Learning, Translational Science, Image Guided Therapy,
Machine Learning, Computer Vision, Data Augmentation, Segmentation,
Registration, Medical Visualization, Medical Image Processing,
Navigation Systems, Augmented Reality, Virtual Reality, ...
Our AutoImplant 2020 Challenge Proceedings has just been published by Springer:
Congratulations to Maximilian Weber for winning with enFaced the Junge Wirtschaft Steiermark Elevator Pitch in 2020!!
© Foto Fischer
The Elevator Pitch can be re-viewed here:
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:
Congratulations to the Best Paper Award winners from the AutoImplant challenge:
All Awards can be found here:
Our AutoImplant 2020 Challenge Proceedings has just be announced by Springer, stay tuned:
Talks of the Challenge can be re-watched here:
Looking already forward the Elsevier book about Computer-Aided Oral and Maxillofacial Surgery with Professor Xiaojun Chen from SJTU!
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.
We got the Best Paper Award for our Miccai CLIP paper:
"Single-shot Deep Volumetric Regression for Mobile Medical Augmented Reality"
The corresponding talk can we re-watched here:
Happy to announce that we got one of the ultra-rare surveys in Medical Image Analysis accepted!
Looking for a challenge? Join the new Miccai 2020 Cranial Implant Design Challenge organized by our group. The training data set is now available!
Selected Professional Experiences:
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:
our StudierFenster ...
the enFaced Project ...
... and the Computer Algorithms for Medicine Laboratory!
Institute of Computer Graphics and Vision
+43 316 873-5076
Office hours: by appointment