Martijn Starmans is an assistant professor and PI leading the AI for Integrated Diagnostics group at Erasmus MC, specializing in multi-modal machine learning that fuses radiology and pathology to improve oncologic diagnostics. With nine years of research experience spanning a cum laude PhD on automated radiomics workflows to postdoctoral work on generalization via AutoML and meta-learning, he develops reproducible, open-source tools and large multi-center datasets for clinical translation. His work covers diverse clinical domains—from sarcoma and liver cancer to melanoma and neuroendocrine tumors—reflecting a pragmatic focus on cross-application generalizability. Martijn combines strong technical depth in radiopathomics with hands-on software implementation and teaching, and is active in European consortia like EuCanImage and disease-specific AI networks. An uncommon strength is his track record of releasing both a 932-patient radiomics database and the full codebase used in his PhD studies, demonstrating commitment to transparency and reproducibility.
Contributions:1 release, 5 pushes, 1 branch in 1 year 9 months
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Martijn Starmans - Assistant Professor AI For Integrated Diagnostics