A5015412898- demographic modeling and climate adaptation
- Software System Performance and Reliability
- AI and HR Technologies
- Radiomics and Machine Learning in Medical Imaging
- Big Data Technologies and Applications
- Advanced X-ray and CT Imaging
- Technology Assessment and Management
- Medical Imaging Techniques and Applications
- Machine Fault Diagnosis Techniques
- Engineering Diagnostics and Reliability
Radboud University Nijmegen
2021-2025
Radboud University Medical Center
2023-2025
Size measurements of tumor manifestations on follow-up CT examinations are crucial for evaluating treatment outcomes in cancer patients. Efficient lesion segmentation can speed up these radiological workflows. While numerous benchmarks and challenges address specific organs like the liver, kidneys, lungs, larger variety types encountered clinical practice demands a more universal approach. To this gap, we introduced ULS23 benchmark 3D chest-abdomen-pelvis examinations. The training dataset...
Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Models (LLMs), shows great potential for annotating data facilitate algorithm development remains underexplored due a lack public benchmarks. This study introduces DRAGON challenge, benchmark NLP with 28 tasks and 28,824 reports from five Dutch care centers. It facilitates...
Abstract OEMs, service providers and end-users are moving from preventative to predictive maintenance minimize the risk of unwanted power plant shut-downs maximize profitability. Digital Twin Machine Learning (ML) important techniques in this transformation as it complements improves traditional expert-based knowledge systems. There is a continued trend use data-driven, so-called black-box, ML an improvement over statistical approaches. However, these approaches suffer low interpretability...