Mark Ramaekers

Mark Ramaekers is a researcher at Eindhoven University of Technology's Department of Electrical Engineering, specializing in Medical Image Analysis. He actively contributes to cancer diagnostics through AI-driven medical imaging solutions, primarily focusing on pancreatic and lung cancer detection.

Research Focus: His work centers on developing interpretable AI systems for clinical oncology, with emphasis on:

• Computer-aided detection models for pancreatic ductal adenocarcinoma (PDAC)
• Deep learning-based segmentation of abdominal organs
• Radiologist-AI collaboration frameworks
• Transparency mechanisms in medical AI decision-making

Publication Trends: Analysis of his 7 publications (2022-2024) reveals a concentrated effort in applying deep learning to CT scan analysis, particularly for pancreatic tumor detection and lung nodule assessment. His recent work emphasizes model interpretability and clinical integration, with significant contributions to the ACACIA project's cancer care objectives.

Collaborations: He is a core member of the E/MTIC Oncology Collaborative Group, frequently collaborating with clinical partners including M. D. P. Luyer, F. van der Sommen, and C. G. A. Viviers across multiple high-impact studies.

Research Infrastructure: His work leverages the Eindhoven MedTech Innovation Center (E/MTIC) ecosystem, focusing on translational research that bridges engineering solutions with clinical oncology needs through the ACACIA project framework.