PD Dr. Stefan Steidl



Organisationseinheit


Technische Fakultät
Lehrstuhl für Informatik 5 (Mustererkennung)


Publikationen (Download BibTeX)

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Schuller, B., Weninger, F., Zhang, Y., Ringeval, F., Batliner, A., Steidl, S.,... Mortillaro, M. (2019). Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge. Computer Speech and Language, 53, 156-180. https://dx.doi.org/10.1016/j.csl.2018.02.004
Amrehn, M., Steidl, S., Kortekaas, R., Strumia, M., Weingarten, M., Kowarschik, M., & Maier, A. (2019). A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems. International Journal of Biomedical Imaging, 2019(2019), 1-21. https://dx.doi.org/10.1155/2019/1464592
Kurzendorfer, T., Breininger, K., Steidl, S., Maier, A., & Fahrig, R. (2019). Left ventricle segmentation in LGE-MRI using multiclass learning. In Bennett A. Landman, Elsa D. Angelini, Elsa D. Angelini, Elsa D. Angelini (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. San Diego, CA, US: SPIE.
Amrehn, M., Strumia, M., Steidl, S., Horz, T., Kowarschik, M., & Maier, A. (2018). Ideal Seed Point Location Approximation for GrowCut Interactive Image Segmentation. In Bildverarbeitung für die Medizin 2018 (pp. 210-215). Erlangen, DE: Springer Vieweg.
Maier, A., Steidl, S., Christlein, V., & Hornegger, J. (Eds.) (2018). Medical Imaging Systems. Erlangen: Springer.
Maier, A., Schebesch, F., Syben, C., Würfl, T., Steidl, S., Choi, J.-H., & Fahrig, R. (2018). Precision Learning: Towards Use of Known Operators in Neural Networks. In 2018 24rd International Conference on Pattern Recognition (ICPR) (pp. 183-188). Beijing, China.
Schuller, B.W., Steidl, S., Batliner, A., Marschik, P.B., Baumeister, H., Dong, F.,... Zafeiriou, S. (2018). The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. In 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6 (pp. 122-126). Hyderabad, IN: BAIXAS: ISCA-INT SPEECH COMMUNICATION ASSOC.
Amrehn, M., Mualla, F., Angelopoulou, E., Steidl, S., & Maier, A. (2018). The Random Forest Classifier in WEKA: Discussion and New Developments for Imbalanced Data. arXiv.org.
Kurzendorfer, T., Reiml, S., Brost, A., Toth, D., Panayiotou, M., Mountney, P.,... Maier, A. (2017). 2-D Interactive Scar Layer Visualization. In IGIC 2017 - Abstract Book (pp. 13-14). Magdeburg.
Kurzendorfer, T., Brost, A., Forman, C., Schmidt, M., Tillmanns, C., Steidl, S., & Maier, A. (2017). 3-D LGE-MRI Segmentation using a Random Forest Classifier and Dynamic Programming. In ESMRMB 2017, 34th Annual Scientific Meeting (pp. S649-S650). Barcelona.

Zuletzt aktualisiert 2018-04-12 um 22:51