People
Martina Grab Master Student
Short Biography
Martina Grab completed her Bachelor degree in Mechanical Engineering at the Swiss Federal Institute of Technology Zurich (ETH). In 2013 she started her Masters degree with focus on Medical Engineering. Within this study she joined The Interface Group to complete a Semester Thesis in building a Dynamic Bioreactor for Cancer Metastasis Research. She continued her work at the group by expanding that project further during her master thesis . After the conclusion of her master thesis, Martina moved on towards the industry.
News
December 18, 2023
"Incorporating unresolved stresses in blood damage modeling: Energy dissipation more accurate than reynolds stress formulation"was published in IEEE Trans Biomed Eng more
New article published
“Incorporating unresolved stresses in blood damage modeling: Energy dissipation more accurate than reynolds stress formulation”was published by Jonas Abeken et al. in IEEE Trans Biomed Eng
September 7, 2023
"Current understanding of the anatomy, physiology, and magnetic resonance imaging of neurofluids: Update from the 2022 ISMRM imaging neurofluids study group workshop in rome" was published in J Magn Reson Imaging . more
New article published
“Current understanding of the anatomy, physiology, and magnetic resonance imaging of neurofluids: Update from the 2022 ISMRM imaging neurofluids study group workshop in rome” co-authored by Vartan Kurtcuoglu J Magn Reson Imaging
August 18, 2023
"Queckenstedt’s test repurposed for the quantitative assessment of the cerebrospinal fluid pulsatility curve" was published in Acta Neurochir more
New article published
“Queckenstedt’s test repurposed for the quantitative assessment of the cerebrospinal fluid pulsatility curve” was published by Najmeh Kheram et al. in Acta Neurochir
August 10, 2023
"Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney" was published in Scientific Data more
New article published
“Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney” was published by Willy Kuo and Diego Rossinelli et al. in Scientific Data
