Ruben Niemantsverdriet
PhD student, Erasmus MC
Interests
- Medical Imaging
- Image Processing
- Machine Learning
- Deep Learning
- Liver Cancer
Education
-
MSc Biomedical Engineering - Medical Physics, 2024
TU Delft
Biography
Research
Ruben started his PhD project in july 2024 at the BIGR group. The focus of his research is on the development of a benchmark dataset and optimized machine learning methods for the MRI-based diagnosis of solid-appearing liver lesions. This project is part of the Liver Artificial Intelligence (LAI) consortium, which aims to fast-forward the development, validation, and implementation of machine learning methods that could support MRI-based diagnosis of liver lesions.
Background
Ruben completed his BSc degree in Applied Physics at TU Delft in 2021. After that he started his MSc in Biomedical Engineering - Medical Physics at TU Delft, for which he completed his MSc thesis at BIGR and the Department of Obstetrics and Gynecology at the Erasmus MC in 2024. His MSc thesis was about developing a method for automated Carnegie staging of the human embryo in 3D ultrasound using deep learning.