Yanye Lu

Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

A deep learning based pipeline for optical coherence tomography angiography (2019) Liu X, Huang Z, Wang Z, Wen C, Jiang Z, Yu Z, Liu J, et al. Journal article Traditional machine learning for limited angle tomography (2018) Huang Y, Lu Y, Taubmann O, Lauritsch G, Maier A Journal article, Original article Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography (2018) Huang Y, Lu Y, Taubmann O, Lauritsch G, Maier A Conference contribution, Original article Material Decomposition Using Ensemble Learning for Spectral X-ray Imaging (2018) Lu Y, Kowarschik M, Huang X, Chen S, Ren Q, Fahrig R, Hornegger J, Maier A Journal article Streak Artifact Reduction in Limited Angle Tomography Using Machine Learning (2017) Huang Y, Lu Y, Taubmann O, Lauritsch G, Maier A Conference contribution, Original article Material Decomposition Using Ensemble Learning for Energy-Resolved Computed Tomography (2017) Lu Y, Kowarschik M, Ren Q, Fahrig R, Hornegger J, Maier A Conference contribution Bridge to Real Data: Empirical Multiple Material Calibration for Learning-Based Material Decomposition (2016) Lu Y, Berger M, Manhart M, Choi JH, Hoheisel M, Kowarschik M, Fahrig R, et al. Conference contribution 3-D Printing Based Production of Head and Neck Masks for Radiation Therapy Using Ct Volume Data: A Fully Automatic Framework (2016) Chen S, Lu Y, Hopfgartner C, Suehling M, Steidl S, Hornegger J, Maier A Conference contribution Towards Material Decomposition on Large Field-of-View Flat Panel Photon-Counting Detectors - First in-vivo Results (2016) Müller K, Moiz A, Spahn M, Choi JH, Reitz S, Köster N, Lu Y, et al. Conference contribution Projection-based Material Decomposition by Machine Learning using Image-based Features for Computed Tomography (2015) Lu Y, Geret J, Unberath M, Manhart M, Ren Q, Fahrig R, Hornegger J, Maier A Conference contribution