Yanye Lu



Organisation


Lehrstuhl für Informatik 5 (Mustererkennung)


Publications ()


Lu, Y., Kowarschik, M., Huang, X., Xia, Y., Choi, J.-H., Chen, S.,... Maier, A. (2019). A learning-based material decomposition pipeline for multi-energy x-ray imaging. Medical Physics, 46(2), 689-703. https://dx.doi.org/10.1002/mp.13317
Yu, Z., Xiang, Q., Meng, J., Kou, C., Ren, Q., & Lu, Y. (2019). Retinal image synthesis from multiple-landmarks input with generative adversarial networks. Biomedical Engineering Online, 18. https://dx.doi.org/10.1186/s12938-019-0682-x
Huang, Y., Lu, Y., Taubmann, O., Lauritsch, G., & Maier, A. (2018). Traditional machine learning for limited angle tomography. International Journal of Computer Assisted Radiology and Surgery, 8/2018(8), 1-9. https://dx.doi.org/10.1007/s11548-018-1851-2
Huang, Y., Lu, Y., Taubmann, O., Lauritsch, G., & Maier, A. (2018). Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography. In Andreas Maier,Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm,Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2018 Algorithmen - Systeme - Anwendungen (pp. 222-227). Erlangen, DE: Springer: Springer.
Huang, Y., Lu, Y., Taubmann, O., Lauritsch, G., & Maier, A. (2017). Streak Artifact Reduction in Limited Angle Tomography Using Machine Learning. In 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (pp. 7-8). Magdeburg, Germany.
Chen, S., Lu, Y., Hopfgartner, C., Suehling, M., Steidl, S., Hornegger, J., & Maier, A. (2016). 3-D Printing Based Production of Head and Neck Masks for Radiation Therapy Using Ct Volume Data: A Fully Automatic Framework. In Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. 403-406). Prague, Czech Republic: Prague, Czech Republic: IEEE.

Last updated on 2016-04-05 at 05:12