Georg Langs

Georg Langs is a PartTime Lecturer at the Faculty of Informatics, Vienna University of Technology, specializing in Medical Image Analysis, Machine Learning, and Computer Vision applications in Radiology and Neuroscience. His research bridges Biomedical Engineering and Pattern Recognition to advance diagnostics and predictive modeling in healthcare.

His work focuses on spatiotemporal disease modeling (e.g., bone lesion progression in multiple myeloma), fetal brain connectivity via in-utero fMRI, and automated image segmentation using deep learning and probabilistic frameworks. He has developed cloud-based benchmarking systems for medical image analysis and contributed to functional connectivity mapping in pediatric and fetal neuroscience.

Key article trends include AI-driven radiology, dynamic lesion prediction, and reproducibility in fetal imaging. His collaborations span institutions in Austria, the UK, and China. He mentors students in deep learning, longitudinal image analysis, and medical AI through diploma theses.