Visual Healthcare Computing


Organisation:
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)

FAU Contact:
Wittenberg, Thomas PD Dr.

Description:

The research area “Visual Healthcare Computing” describes the application of computer  vision, deep learning and visualization algorithms to the field of digital healthcare.
Examples are applications along a patient’s healthcare pathway, starting  from image based diagnostics (e.g. based on endoscopy or digital pathology), endoscopy-based image enhancement for orientation and navigation (using e.g. 2D/3D panoramic imaging), computer assisted radiomics (in the field of mammography), contactless monitoring of vital signs (e.g. pulse and breathing) as well as interactive immersive training and planning systems for surgical interventions.



Assigned publications


Klare, P., Sander, C., Prinzen, M., Haller, M., Nowack, S., Abdelhafez, M.,... Wittenberg, T. (2019). Automated polyp detection in the colorectum: a prospective study (with videos). Gastrointestinal Endoscopy, 89(3), 576-582.e1. https://dx.doi.org/10.1016/j.gie.2018.09.042
Bergler, M., Weiherer, M., Bergen, T., Avenhaus, M., Rauber, D., Wittenberg, T.,... Benz, M. (2018). Stitching Pathological Tissue Images using DOP Feature Tracking. In Maier A, Deserno TM, Handels H, Maier-Hein KH, Palm C, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2018 (pp. 322--327). Erlangen: Berlin, Heidelberg: Springer Berlin Heidelberg.
Aichinger, W., Krappe, S., Enis, A.C., Cetin-Atalay, R., Üner, A., Benz, M.,... Münzenmayer, C. (2017). Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution. In Proceedings Volume 10140 Medical Imaging 2017:Digital Pathology. Orlando, Florida, USA, US.
Krappe, S., Benz, M., Gryanik, A., Tannich, E., Wegner, C., Stamminger, M.,... Münzenmayer, C. (2017). Automated plasmodia recognition in microscopic images for diagnosis of malaria using convolutional neural networks. In Proceedings of the Medical Imaging: Digital Pathology 2017. SPIE-INT SOC OPTICAL ENGINEERING, PO BOX 10, BELLINGHAM, WA 98227-0010 USA.
Kriegmayr, M., Bergen, T., Ritter, M., Mandel, P., Michel, M., Wittenberg, T., & Bolenz, C. (2017). Digital Mapping of the Urinary Bladder: Potential for Standardized Cystoscopy Reports. Urology, 104(104), 235-241. https://dx.doi.org/10.1016/j.urology.2017.02.019
Haeberle, L., Hack, C., Heusinger, K., Wagner, F., Jud, S., Uder, M.,... Fasching, P. (2017). Using automated texture features to determine the probability for masking of a tumor on mammography, but not ultrasound. European Journal of Medical Research, 22. https://dx.doi.org/10.1186/s40001-017-0270-0

Last updated on 2019-09-07 at 11:47