Our contribution “Deep Learning-based Inpainting for Virtual DSA” by Mathias Unberath et al. was among the winners (second place) of the Best Student Paper Award at the 2017 IEEE Nuclear Sciences Symposium and Medical Imaging Conference (NSS/MIC).
In addition, Mathias Unberath was awarded an IEEE NSS/MIC Trainee Grant.
Mathias Unberath et al. “Deep Learning-based Inpainting for Virtual DSA” IEEE Nuclear Sciences Symposium and Medical Imaging Conference Record (2017).
We are happy to announce that two papers were accepted as oral presentations to the upcoming SPIE Medical Imaging conference.
K. Yu*, R. Barmaki*, M. Unberath*, A. Mears, J. Brey, T. H. Chung, N. Navab. On the Accuracy of Low-cost Motion Capture Systems for Range of Motion Measurements.
* These authors contributed equally.
E. Tucker, J. Fotouhi, S. C. Lee, M. Unberath, B. Fuerst, A. Johnson, M. Armand, G. Osgood, N. Navab. Towards Clinical Translation of Augmented Orthopedic Surgery: From Pre-op CT to Intra-op X-ray via RGBD Sensing.
We are happy to announce that Sing Chun Lee et al. received the Outstanding Paper Award of the 11th MICCAI Workshop on Augmented Environments for Computer Assisted Interventions for their contribution ”Multi-modal Imaging, Model-based Tracking and Mixed Reality Visualisation for Orthopaedic Surgery”.
Congratulations to all authors!
Lee, S. C., Fuerst, B., Tateno, K., Johnson, A., Fotouhi, J., Osgood, G., … & Navab, N. (2017). Multi-modal Imaging, Model-based Tracking and Mixed Reality Visualisation for Orthopaedic Surgery. Healthcare Technology Letters.