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Philipp Roser M. Sc.

Researcher in the Population Modelling (PM) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Thesis

2 Running
Master Theses
Maul, Noah:
3D X-ray Scatter Estimation in an interventional setting using Deep Learning
Advisor: Maier, Andreas; Roser, Philipp; Annette Birkhold (Siemens Healthcare GmbH)
Beginn: 07.01.2020

Fa, Jingyi:
Deep Scatter Estimation Real-time CT Scatter Correction
Advisor: Huang, Yixing; Maier, Andreas; Ritschl, Ludwig; Roser, Philipp
Beginn: 20.06.2019

4 Finished
Bachelor Theses
Schmidt, Tobias:
Evaluation of Augmented Reality Devices for Employee Training using Machine Learning
Advisor: Maier, Andreas; Roser, Philipp; Dr. Roland Beucker (Siemens AG)
Beginn: 15.01.2019

Scheidl, Marc-Anton:
Learning-based Reduction of Scattered Radiation in Interventional Imaging
Advisor: Haderlein, Tino; Maier, Andreas; Roser, Philipp; Dr. Annette Birkhold (Siemens Healthineers AG, Forchheim)
Beginn: 01.07.2018

Master Theses
Michen, Markus:
Estimation of correction parameters for industrial XCT using DL
Advisor: Haßler, Ulf; Maier, Andreas; Roser, Philipp; Syben, Christopher
Beginn: 01.05.2019

Ghasemi, Sina:
Head Pose Estimation for Patient Localization Using Deep Neural Network
Advisor: Maier, Andreas; Roser, Philipp; Annette Birkhold (Siemens AG); Markus Kowarschik (Siemens AG); Xia Zhong (Siemens AG)
Beginn: 01.02.2019