Michael Brun Andersen

Michael Brun Andersen serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. His work is centered at the Radiology division (Blegdamsvej 3, Copenhagen), with active research output extending into 2025. His institutional email is michael.brun.andersen@regionh.dk and professional profile hosted via University of Copenhagen's domain (ikm.ku.dk).

His research spans advanced medical imaging applications with emphasis on AI-driven diagnostic enhancement, oncology imaging protocols, and quantitative analysis of CT/MRI artifacts. Key focus areas include photon-counting CT optimization for prostate cancer radiotherapy, motion artifact mitigation in stroke MRI, and pulmonary nodule surveillance systems. Recent work demonstrates integration of reinforcement learning for pancreatic duct identification and validation of handheld ultrasound in emergency settings.

Analysis of his 2024-2025 publications reveals strong collaborative networks across European radiology and oncology research groups. His work frequently addresses clinical implementation challenges of AI in diagnostics, spectrum bias in deep learning models, and functional imaging biomarkers for immunotherapy monitoring. Notable contributions include feasibility studies on DCE-CT parameters in lung cancer therapy and investigations into incidental finding management protocols.

While no formal awards or student advisement details are documented in the provided materials, his research demonstrates consistent peer-reviewed output in high-impact journals including Acta Oncologica, European Radiology, and Cancer Imaging. His work shows significant attention from clinical communities with multiple publications referenced in news outlets and Mendeley readership.