Rick Bortsov (they/them)
Postdoctoral Researcher, Erasmus MC
Interests
- Trustworthy AI
- Shortcut learning
- Radiomics
Education
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PhD - Making and Breaking Decision Boundaries: Improving accuracy and assessing robustness of deep learning for medical image analysis, 2022
Erasmus MC
Biography
Richard Bortsov started their PhD in 2017 at Erasmus MC. Over the course of their PhD, they worked on several topics, including weakly-supervised and semi-supervised learning, adversarial attacks, and image segmentation. They focused on a variety of medical image analysis applications, including automated assessment of emphysema, segmentation of intracranial calcifications, and segmentation and classification of X-ray images. After finishing their PhD in 2022, they became a postdoctoral researcher at Leiden University. In that project, they led the development of an ethical guidance framework for Making big Data Meaningful for a Promising Start Project. The goal was to ensure the ethical use of predictive modeling in the context of early identification of risks during pregnancy and early childhood.
Since 2025, they have been conducting research on trustworthy AI at the BIGR group. In particular, they are developing methodologies to apply the FUTURE-AI guideline for trustworthy and deployable AI into practice for medical image analysis applications.