Maik Stille

Dr. Maik Stille is a Research Associate at the Fraunhofer Research Institution for Individualized and Cell-Based Medical Technology (IMTE) in Lübeck, Germany, with strong affiliations to the University of Lübeck's Institute of Medical Engineering. His work focuses on advanced medical imaging techniques, particularly in computed tomography and artifact reduction methodologies.

His research interests center on Computed Tomography, Metal Artifact Reduction, Image Registration, and Neuroimaging. Dr. Stille has developed innovative approaches for metal artifact correction using deep learning techniques and non-local prior image integration, significantly advancing the field of medical image reconstruction. His work bridges clinical applications with computational methodologies, particularly in addressing challenges posed by metal implants in CT imaging.

Analysis of his recent publications reveals a strong trend toward deep learning applications in medical imaging, particularly using generative adversarial networks for metal artifact reduction. His research spans both clinical CT applications and industrial computed tomography, demonstrating versatility across medical and engineering domains. Key focus areas include dual-energy CT calibration, virtual monoenergetic imaging enhancement, and magnetic particle imaging techniques.

Dr. Stille collaborates extensively with researchers at the University of Lübeck and participates in the Graduate School for Computing in Medicine and Life Sciences. His work has significant implications for radiation therapy planning, diagnostic imaging quality improvement, and industrial non-destructive testing applications.