Johannes Uhlig

Johannes Uhlig is an Associate Professor who serves as an advisor and referee for PhD students at a German academic institution. He has supervised nine doctoral candidates whose research spans medical imaging, radiology, and artificial intelligence applications in clinical diagnostics, with publications dating from 2020 to 2025.

His research interests encompass:

• Advanced radiological imaging techniques
• Machine learning applications in medical diagnostics
• Oncological imaging and biomarker prediction
• Trauma assessment methodologies

Dr. Uhlig's academic supervision demonstrates a strong focus on translating imaging technologies into clinical practice, with recent work examining CT-based diagnosis of COVID-19 pneumonia, AI-driven prediction of lung cancer biomarkers, and ultrasound techniques for emergency trauma assessment. His students' research consistently bridges technical imaging innovations with practical medical applications across multiple specialties.