Philipp Seeböck

Contact

Philipp Seeböck

Doctoral Research Scientist
CIR Computational Imaging Research Lab
Department of Biomedical Imaging and Image-guided Therapy
Medical University of Vienna

Email: philipp.seeboeck (at) meduniwien.ac.at

Phone: +43 1 40400 67600

Office
Rektoratsgebäude (Bauteil 88)
(Building 88, floor 2, room 206)

Research interests

  • Deep Learning
  • Unsupervised Learning in Medicine
  • Medical Image Analysis

Current Projects

Optima500px Logo

OPTIMA - Christian Doppler Laboratory on Ophtalmic Image Analysis. funded by the Christian Doppler Gesellschaft. The OPTIMA project aims at individualizing patient management and at lowering treatment and monitoring needs in ophtalmic diseases to make the most effective ocular treatment available to all patients and physicians. We are conducting methodological research on big spatio-temporal data analysis.

 

Seleted recent publications

- Seeböck, P., Waldstein, S., Klimscha, S., Bogunovic, H., Schlegl, T., Gerendas, B. S.,  Donner, R., Schmidt-Erfurth, U., Langs, G. "Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data". IEEE Transactions on Medical Imaging (accepted for publication). 2018. [pdf]

- Seeböck, P., Donner, R., Schlegl, T., & Langs, G. "Unsupervised Learning for Image Category Detection". Proceedings of the 22nd Computer Vision Winter Workshop. 2017. (Best Paper Award) [pdf]

- Seeböck, P., Waldstein, S., Klimscha, S., Gerendas, B. S., Donner, R., Schlegl, T.,  Langs, G. "Identifying and Categorizing Anomalies in Retinal Imaging Data". NIPS Workshop on Machine Learning for Health. 2016. [pdf]

- Philipp Seeböck. Deep Learning In Medical Image Analysis. Master’s thesis, Technical University of Vienna, Austria, 2015.