Frank Schebesch


Lehrstuhl für Informatik 5 (Mustererkennung)

Publikationen (Download BibTeX)

Xu, Y., Schebesch, F., Ravikumar, N., & Maier, A. (2019). Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 212-217). Lübeck, DE: Springer Berlin Heidelberg.
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.
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.
Luckner, C., Schebesch, F., Mertelmeier, T., Fieselmann, A., Maier, A., & Ritschl, L. (2018). Towards an analytic model: Describing the effect of scan angle and slice thickness on the in-plane spatial resolution of calcications in digital breast tomosynthesis. In Proc. of SPIE (pp. 107181R). Atlanta, GA, USA.
Unberath, M., Hajek, J., Geimer, T., Schebesch, F., Amrehn, M., & Maier, A. (2017). Deep Learning-based Inpainting for Virtual DSA. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (pp. -). Hyatt Regency, Atlanta, Georgia, US: IEEE.
Mentl, K., Mailhé, B., Ghesu, F.-C., Schebesch, F., Haderlein, T., Maier, A., & Nadar, M. (2017). Noise Reduction In Low-Dose CT Using a 3D Multiscale Sparse Denoising Autoencoder. In 2017 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (pp. 1-6). Tokyo, Japan.
Rausch, J., Maier, A., Fahrig, R., Choi, J.-H., Hinshaw, W., Schebesch, F.,... Riess, C. (2016). Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems. International Journal of Biomedical Imaging, 2016, 2502486:1-15.
Herbst, M., Schebesch, F., Berger, M., Choi, J.-H., Fahrig, R., Hornegger, J., & Maier, A. (2015). Dynamic detector offsets for field of view extension in C-arm computed tomography with application to weight-bearing imaging. Medical Physics, 42(5), 2718-2729.
Herbst, M., Schebesch, F., Berger, M., Fahrig, R., Hornegger, J., & Maier, A. (2014). Improved trajectories in C-Arm computed tomography for non-circular fields of view. In Proceedings of the third international conference on image formation in x-ray computed tomography (pp. 274-278). Salt Lake City, UT, USA.

Zuletzt aktualisiert 2016-05-05 um 05:36