Christopher Syben



Organisationseinheit


Lehrstuhl für Biochemie
Lehrstuhl für Informatik 5 (Mustererkennung)


Publikationen (Download BibTeX)

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Maier, A., Syben, C., Lasser, T., & Riess, C. (2019). A gentle introduction to deep learning in medical image processing [Eine sanfte Einführung in Tiefes Lernen in der Medizinischen Bildverarbeitung]. Zeitschrift für Medizinische Physik, 29(2), 86-101. https://dx.doi.org/10.1016/j.zemedi.2018.12.003
Syben, C., Stimpel, B., Lommen, J., Würfl, T., Dörfler, A., & Maier, A. (2019). Fan-to-Parallel Beam Conversion: Deriving Neural Network Architectures Using Precision Learning. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 29-). Lübeck, DE: Springer Berlin Heidelberg.
Preuhs, A., Ravikumar, N., Manhart, M., Stimpel, B., Hoppe, E., Syben, C.,... Maier, A. (2019). Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 134-139). Lübeck, DE: Springer Berlin Heidelberg.
Zarei, S., Stimpel, B., Syben, C., & Maier, A. (2019). User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 92-97). Lübeck, DE: Springer Berlin Heidelberg.
Maier, A., Syben, C., Lasser, T., & Riess, C. (2018). A Gentle Introduction to Deep Learning in Medical Image Processing.
Stimpel, B., Syben, C., Würfl, T., Mentl, K., Dörfler, A., & Maier, A. (2018). MR to X-ray Projection Image Synthesis. In Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) (pp. 435-438). Salt Lake City, UT, USA.
Luckner, C., Schebesch, F., Syben, C., Mertelmeier, T., Maier, A., & Ritschl, L. (2018). On the Influence of Acquisition Angle and Slice Thickness on the in-plane Spatial Resolution of Calcifications in Digital Breast Tomosynthesis. In Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (pp. 147-150). Salt Lake City, USA.
Syben, C., Stimpel, B., Breininger, K., Würfl, T., Fahrig, R., Dörfler, A., & Maier, A. (2018). Precision Learning: Reconstruction Filter Kernel Discretization. In Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (pp. 386-390). Salt Lake City, Utha, USA.
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.
Syben, C., Stimpel, B., Leghissa, M., Dörfler, A., & Maier, A. (2017). Fan-beam Projection Image Acquisition using MRI. In 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (pp. 14-15). Magdeburg.

Zuletzt aktualisiert 2019-23-01 um 18:52