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


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