Christian Baumgartner

Christian Baumgartner


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Personal profile

Research interests

My main research focus lies in the application of novel machine learning methods to medical images affected by involuntary physiological motion such as respiration.

I am particularly interested in analysing and modelling motion in time series of MR and simultaneous PET/MR images using nonlinear dimensionality reduction techniques.

Biographical details

I was awarded a B.Sc. in Electrical Engineering and Information Technology and a M.Sc. in Biomedical Engineering from the Federal Technical Institute (ETH) in Zurich, Switzerland. Since May 2012 I have been working as a PhD student at King's College London in the Division of Imaging Sciences and Biomedical Engineering. 

Research interests (short)

Analysis of medical images affected by physiological motion using novel machine learning methods.

Email: christian.baumgartner [at]

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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