Position: PhD Student
Master Degree: Physics, Chalmers University of Technology, Gothenburg, Sweden
Bachelor Degree: Physics, University of Iceland, Reykjavík, Iceland
Latest News (all news about Saga Helgadottir)
Press release on Extracting quantitative biological information from bright-field cell images using deep learning October 13, 2021
Saga Helgadottir joins as postdoc the Soft Matter Lab September 1, 2021
Enhanced prediction of atrial fibrillation and mortality among patients with congenital heart disease using nationwide register-based medical hospital data and neural networks published in European Heart Journal – Digital Health August 17, 2021- Extracting quantitative biological information from brightfield cell images using deep learning featured in AIP SciLight July 23, 2021
- Extracting quantitative biological information from bright-field cell images using deep learning published in Biophysics Reviews July 20, 2021
Saga Helgadottir defended her PhD Thesis in Physics on June 16, 2021. Congrats! June 16, 2021
Presentation by L. Natali at Spatial Data Science 2020, 11 June 2021 June 4, 2021
Improving epidemic testing and containment strategies using machine learning accepted in Machine Learning: Science and Technology May 12, 2021- Press release on Machine learning can help slow down future pandemics April 14, 2021
Quantitative Digital Microscopy with Deep Learning published in Applied Physics Reviews February 19, 2021