Professor Dorothee Auer
University of Nottingham
Dorothee Auer is Professor of Neuroimaging, Head of Radiological Sciences and Director of the Beacon of Excellence at the University of Nottingham and Honorary Consultant Neuroradiologist at Nottingham University Hospitals NHS Trust. After studying medicine in Dusseldorf, Munich and Belfast, she trained in diagnostic radiology/neuroradiology at the University Hospitals in Freiburg
and Tubingen, Germany. Prior to taking up her current post in Nottingham, she was lead consultant Neuroradiologist and NMR research group leader at the Max Planck Institute of Psychiatry, Munich. In April 2017, Dorothee was made a Fellow of the International Society of Magnetic Resonance in Medicine (ISMRM). Her research interests are in developing biomarkers in the field of clinical neurosciences by using advanced MRI techniques with the aims of understanding the pathophysiology of diseases or complex symptoms across diseases, to improve diagnostic accuracy, and to predict and assess therapeutic interventions.
Novel MRI biomarkers in Parkinson’s
The seminar will provide an overview of the biomarker needs in Parkinson’s and how far we have come with recent developments for the early detection, subtyping and monitoring of Parkinson’s. The focus will be on dedicated MRI contrasts that are sensitive to degeneration of brainstem nuclei (nigrosome, neuromelanin and free water imaging). Also, the potential of multivariate prediction models using whole brain MRI will be discussed.
EVEN MORE SEMINARS
Professor Wladyslaw Gedroyc Imperial College Healthcare NHS Trust
Brain MR guided focussed ultrasound
Cheerag Shirodaria Caristo Diagnostics
Fat Attenuation Index: A Game Changer in Coronary Artery Risk Assessment?
Senthil Periaswamy, PhD iCAD Inc.
How AI Can Improve Diagnostic Performance and Reduce Reading Time in Breast Tomosynthesis
Dr Andrew Bagshaw University of Birmingham
Multimodal Neuroimaging: Methods and Applications of Combined EEG-fMRI
Dr Mark Halling-Brown Royal Surrey County Hospital
Practicalities of creating medical image research databases for AI