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Esther Bron speaks at the Florence Nightingale Colloquium

Tuesday 12 February 2019
Niels Bohrweg 1
2333 CA Leiden

Computer-aided diagnosis of dementia

Dementia imposes an enormous burden to the individual and to society. For Alzheimer’s disease, the most prevalent type of dementia, currently no curative treatment is available and most clinical trials are unsuccessful. It is therefore essential to improved disease understanding and prognostics. Machine learning techniques play a crucial role in this.

Dr. Esther Bron is post-doc researcher at the Biomedical Imaging Group Rotterdam (BIGR, Erasmus MC, Rotterdam, Netherlands). Her main research interest is computer-aided diagnosis of dementia based on MRI. In 2014, Dr. Bron organized the CADDementia challenge which compared image-based diagnosis algorithms. With this project, she was nominated for the Dutch Data Prize 2014 and won a Best Scientific Paper Presentation Award at the European Congress of Radiology in 2015. In 2018, Dr. Bron obtained the Young eScientist Award. With this award she is developing the TADPOLE-SHARE platform for sharing Alzheimer’s disease prediction algorithms.

In this lecture, Dr. Bron will talk about machine learning methods for the diagnosis and prognosis of Alzheimer’s disease based on imaging data. Topics include voxel-wise learning, event-based modeling and benchmark projects. How good are current methods and how can data scientists contribute to the field?

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