Christian Blüthgen

Blüthgen, Christian, MSc

Radiology resident

Universitätsspital Zürich,
Institut Diagnostische & Interventionelle Radiologie
Rämistrasse 100, CH-8091 Zürich, Switzerland


2019 FMH Radiology Board Exam

2015 University of Heidelberg – MSc Translational Medical Research

Research Endeavours:

Interested in turning images into actionable numbers through the application of advanced statistics, radiomics, and machine learning to the medical imaging domain. Focused on thoracic imaging.

Selected publications: [PubMed]

Blüthgen C, Vittoria De Martini I, Meier A, Becker AS, Frauenfelder T. Detection and Localization of Distal Radius Fractures: Deep-Learning System versus Radiologists. Eur J Radiol 2020 May; 126:108925. doi: 10.1016/j.ejrad.2020.108925.

Euler, A., Blüthgen, C., Wurnig, M.C., Jungraithmayr, W. and Boss, A. (2020), Can texture analysis in ultrashort echo‐time MRI distinguish primary graft dysfunction from acute rejection in lung transplants? A multidimensional assessment in a mouse model. J Magn Reson Imaging, 51: 108-116.

Becker AS, Blüthgen C, Phi van VD, Sekaggya-Wiltshire C, Castelnuovo B, Kambugu A, Fehr J, Frauenfelder T. Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study. Int J Tuberc Lung Dis. 2018 Mar 1;22(3):328-335. doi: 10.5588/ijtld.17.0520. PMID: 29471912.

Blüthgen, C., Sanabria, S., Frauenfelder, T., Klingmüller, V. and Rominger, M. (2017), Economical Sponge Phantom for Teaching, Understanding, and Researching A‐ and B‐Line Reverberation Artifacts in Lung Ultrasound. J Ultrasound Med, 36: 2133-2142.