Interests
- Radiomics
- AutoML
- Meta-Learning
- Deep Learning
- Pathomics
- Oncology
- Soft-tissue tumors / sarcoma
- Liver cancer
- Colorectal liver metastases
Education
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PhD Streamlined Quantitative Imaging Biomarker Development, 2022
Erasmus Medical Center
Research lines
Biography
Martijn Starmans is a postdoctoral researcher at the Biomedical Imaging Group of the Erasmus MC (Rotterdam, the Netherlands). His main research interest is the use of radiomics and deep learning to improve the diagnostic work-up in oncology. To this end, he focusses on exploiting automated machine learning and meta-learning to generalize methods across applications. To evaluate this generalization, he works on a variety of clinical applications (e.g. sarcoma, liver cancer, colorectal cancer, bladder cancer, melanoma, cardiology, neuroendocrine tumors) with various clinicians.
He successfully co-applied for a grant from the Hanarth foundation on AI for the grading and phenotyping of soft-tissue tumors, and is currently co-supervising two PhD students. Through his research, he has gained ample experience with imaging infrastructure, e.g. DICOM, CTP, XNAT. As supporter of open science, he has released the software for all his studies open source (e.g. his adaptive radiomics framework WORC) and released a large public database of 930 patients.
Collaborations
Martijn is involved in various working groups and is leader of the platform work package of the Horizon 2020 EuCanImage consortium: Towards a European cancer imaging platform for enhanced Artificial Intelligence in oncology. In this context, he recently visited the AI in Medicine group of Prof. Dr. Karim Lekadir at the University of Barcelona. He is one of the initiators of the Sarcoma Artificial Intelligence (SAI) consortium (grant awarded), the Liver AI (LAI) consortium (grant awarded), and project lead of the Colorectal Liver Metastes AI (COLIMA) consortium (grant submitted). In these consortia, in total 51 clinical centers, companies, professional- and patient associations from 18 countries are united. Additionally, he is external advisor of RadioVal, and member of the AI4HI AI Development working group, EUCAIM, and EOSC4Cancer. He has been a visiting researcher of the BCN-AIM lab of the University of Barcelona.
PhD Degree
Martijn obtained his PhD degree ‘‘cum laude’’ on February 1 2022 at the Erasmus Medical Center Rotterdam with his thesis titled Streamlined Quantitative Imaging Biomarker Development: Generalization of radiomics through automated machine learning. Following his passion to efficiently and automatically optimize routines, he developed an adaptive radiomics framework using automated machine learning, described in this paper. He collaborated with a large number of clinicians to develop radiomics biomarkers in a wide variety of clinical applications.
Download my PhD Thesis.