Roderick S. Westerman.
MSc intern
Roderick worked as a MSc student on convolutional neural networks to predict symptoms and major adverse events in histological images of plaques. This PlaqAI was used for the analysis and quantification of new biomarkers.
Interests
Atherosclerosis
Whole-slide image analysis
Coding
Convolutional neural networks
Deep-learning
Education
MSc in Biomedical Engineering, ongoing
TU/e
BSc in Biomedical Engineering, 2022
TU/e