Integrative Visual Computing for Future Radiology
Long term vision of this applied research project is to harness available data resources to improve image based diagnostics based on complex data in daily clinical routine. Our goals are to
- accelerate radiology workflows for multi-modal and time dependent data with special focus on diagnostics tasks with high frequency to maximise economic and societal impact of our research
- enable fast integration of new emerging imaging technologies into the radiology workflow that just enter the market for routine diagnostics. (E.g novel molecular genetic imaging methods, MR + rotational Mammo, spectral CT)
- extend todays practice of radiology by pushing personalized radiology towards application
See all the patents by the Biomedical Image Informatics Group.
M. Wimmer, D. Major, A. A. Novikov, K. Bühler (2018): Fully automatic cross-modality localization and labeling of vertebral bodies and intervertebral discs in 3D spinal images. International Journal of Computer Assisted Radiology and Surgery.
A. A. Novikov, D. Lenis, D. Major, J. Hladůvka, M. Wimmer, K. Bühler (2018): Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs. IEEE Transactions on Medical Imaging.
Alexey Novikov, David Major, Maria Wimmer, Gert Sluiter, Katja Bühler (2017): Automated Anatomy-Based Tracking of Systemic Arteries in Arbitrary Field-of-View CTA Scans. IEEE Transactions on Medical Imaging, Volume 36, pages 1359-1371.
M. Wimmer, D. Major, A. Novikov, K. Bühler (2016): Local Entropy-optimized Texture Models for Semi-Automatic Spine Labeling in Various MRI Protocols. Conference Paper and Poster. ISBI 2016 (April 13-16 Prague).
A. Novikov, M. Wimmer, D. Major, K. Bühler (2015): A Two-Level Cascade Classification Algorithm for Real-Time Bifurcation Detection in CTA Images of Blood Vessels. Proceedings of VCBM 2015.
D. Major, A. Novikov, M. Wimmer, J. Hladuvka, K. Bühler (2015): Automated Artery Identification in Various Field-of-View CTA scans. Proceedings of VCBM 2015.