
Overview
Background
I obtained my M.Sc. ETH in Biomedical Engineering from the Swiss Federal Institute of Technology Zurich in 2013, where I utilized concurrent magnetic field monitoring to improve image quality and temporal stability of functional magnetic resonance imaging (fMRI). I then moved to Brisbane in 2014, to pursue a PhD at the Centre for Advanced Imaging, The University of Queensland under the supervision of Prof. Markus Barth. I investigated contrast mechanisms and signal properties of fMRI focusing on ultra-high field applications. In 2019, I joined A/Prof. Jonathan Polimeni at the Martinos Center for Biomedical Engineering, Massachusetts General Hospital, where I employed ultra-high field MRI to image the blood vessels of the human brain, and better understand their contribution to the fMRI signal. I returned to Brisbane in 2020 and I am currently a Research Fellow at the School of Information Technology and Electrical Engineering, Faculty of Engineering, Architecture and Information Technology. I am devloping new contrast mechanisms for funtional MRI and I am investigating the effect of the vasculature on the fMRI signal.
Availability
- Dr Saskia Bollmann is:
- Available for supervision
Qualifications
- Doctor of Philosophy, The University of Queensland
Works
Search Professor Saskia Bollmann’s works on UQ eSpace
2017
Conference Publication
Non-Linear Realignment Using Minimum Deformation Averaging for Single-Subject FMRI at Ultra-High Field
Saskia Bollmann, Steffen Bollmann, Alex Puckett, Andrew Janke and Markus Barth (2017). Non-Linear Realignment Using Minimum Deformation Averaging for Single-Subject FMRI at Ultra-High Field. ISMRM, Honolulu, 22-27 April 2017.
2015
Journal Article
Monitoring, analysis, and correction of magnetic field fluctuations in echo planar imaging time series
Kasper, Lars, Bollmann, Saskia, Vannesjo, S. Johanna, Gross, Simon, Haeberlin, Maximilian, Dietrich, Benjamin E. and Pruessmann, Klaas P. (2015). Monitoring, analysis, and correction of magnetic field fluctuations in echo planar imaging time series. Magnetic Resonance in Medicine, 74 (2), 396-409. doi: 10.1002/mrm.25407
Funding
Past funding
Supervision
Availability
- Dr Saskia Bollmann is:
- Available for supervision
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Supervision history
Current supervision
-
Doctor Philosophy
Improving vascular MRI with deep learning.
Principal Advisor
Other advisors: Professor Markus Barth, Dr Fernanda Lenita Ribeiro
Completed supervision
-
2023
Doctor Philosophy
Improving functional MRI through Modelling and Imaging Microvascular Dynamics
Associate Advisor
Other advisors: Associate Professor Kai-Hsiang Chuang, Professor Markus Barth
-
2022
Doctor Philosophy
Modelling the Depth-dependent Functional Responses in Human Primary Visual and Motor Cortices
Associate Advisor
Other advisors: Professor Markus Barth
Media
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