Student assistant universal lesion annotation in whole-body longitudinal CT imaging
Annotation of whole-body lesions in CT across multiple timepoints
Vacancies
We always welcome applications from strong candidates. Feel free to send your CV to a staff member if you are interested to join DIAG. If you consider applying please read this general information about doing a PhD at DIAG.
Open vacancies
PhD candidate AI-based pan-cancer prediction of biomarkers from histopathology
PhD candidate ‘AI-based pan-cancer prediction of 'omics biomarkers from histopathology’
Student projects
We welcome good master's and bachelor's students to perform academic research in our group. We offer various projects that can be tuned to match your thesis requirements. You can also browse through our research pages to read about the different research topics of our group.
Universal lesion tracking in whole-body longitudinal CT imaging
Evaluation of multi-organ CT registration models for lesion tracking across timepoints
Towards an improved planning model for patient-centered IVF treatment using AI
AI-based prediction of ovum pick-up timing to improve patient-centered planning and IVF laboratory workflow
Explainability through Reasoning Segmentation
Advancing clinical explainability of vision-language models through reasoning segmentation
LLM-as-a-Judge as a validation framework for clinical Generative AI tools
Designing an LLM-as-a-Judge framework to validate clinical generative AI tools integrated in the EHR at Radboudumc
Weakly supervised learning for automated scoring of the Monkey Neurovirulence Test (MNVT) in polio vaccine development
Weakly supervised learning for automated scoring of the Monkey Neurovirulence Test (MNVT) in polio vaccine development
Multimodal Registration in Prostate Cancer
Development of deep learning methods for multimodal registration in prostate cancer
An AI model to detect kidney abnormalities from drug safety testing
Development of an AI model to detect kidney abnormalities from drug safety testing
A comparative multi-modal AI model for liver hypertrophy detection in drug safety slides
Automatically detect liver hypertrophy on digital histology slides combined with blood markers
Early prediction of multi-drug resistant Klebsiella species using machine learning
Machine learning on antibiotic susceptibility testing data to predict MDR Klebsiella (ESBL/CPE) one day earlier than current laboratory workflows
Vessel segmentation for intracoronary OCT images
Deep-learning based segmentation of intracoronary structures in optical coherence tomography images
AI-enhanced segmentation and registration of wrist bones in fractured and implant-containing wrists
Deep learning for robust segmentation and registration of wrist bones in pathological 3D and 4D CT scans with fractures and metal implants
Closed vacancies
The positions below are closed, please do not apply. They are listed to give you an idea of the kind of positions we regularly offer.
Vacancies