Mark Janssen

University Hospital Münster

Papers

1

Total Citations

29

H-Index

1

About

Dr. Mark Janssen is a pioneering researcher at the intersection of artificial intelligence and medical imaging, with a primary focus on explainable AI (XAI) for complex diagnostic procedures. His most-cited work, "Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures" (2022, 29 citations), addresses a critical challenge in modern medicine: making AI-driven image analysis transparent and trustworthy for clinicians during high-stakes interventions. By developing methods that bridge the opaque nature of deep learning models with the interpretability required for real-time navigation, Janssen’s research enhances both diagnostic accuracy and procedural safety. His contributions are particularly impactful in fields like interventional radiology and minimally invasive surgery, where AI-assisted decision-making must be both reliable and understandable. With 29 citations in just a few years, his work is rapidly gaining traction among medical AI researchers and practitioners. Janssen’s commitment to closing the gap between algorithmic performance and clinical usability positions him as a key figure in the movement toward responsible, human-centered AI in healthcare.

Research Focus

Key Achievements

1
H-Index
1
Papers
29
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures
29 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University Hospital Münster

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago