Anna V Müller

Anna V Müller serves as Associate Professor in Veterinary Diagnostic Imaging within the Department of Veterinary Clinical Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences. Her dual roles as Didactic Coordinator for the Master of Companion Animal Clinical Sciences program and Social Media Community Manager at the University Hospital for Companion Animals demonstrate her integrated approach to clinical service, education, and research. She teaches Veterinary Imaging and supervises Bachelor's and Master's theses while maintaining active research in diagnostic imaging and educational methodologies.

Education:

• Doctor of Veterinary Medicine (DVM)
• PhD

Research Focus: Dr. Müller's expertise centers on quantitative analysis of veterinary diagnostic imaging, with specialized applications in ultrasound, CT, MRI, and radiology for companion animals and exotic species. Her innovative work integrates machine learning algorithms to enhance image interpretation accuracy while simultaneously advancing veterinary education through neurodiversity research (particularly ADHD) and communication strategies. This dual-track approach bridges technical imaging advancements with pedagogical innovation to improve both diagnostic outcomes and educational experiences.

Publication Trends: Recent publications (2021-2025) reveal three dominant research trajectories: (1) species-specific imaging challenges in exotic animals (guinea pigs, Tasmanian wombats), (2) radiation safety and image optimization in canine diagnostics, and (3) social media applications for clinical communication. Her work consistently connects quantitative image analysis with practical clinical solutions, while the neurodiversity in education strand represents an emerging cross-disciplinary contribution to academic veterinary medicine.

Scientific Recognition:

• ECVDI Travel Grant (2015)

Academic Leadership: As thesis supervisor for undergraduate and graduate students in the Master of Companion Animal Clinical Sciences program, Dr. Müller guides research in diagnostic imaging applications. Her PhD thesis on image feature extraction established foundational work for current machine learning applications. The University Hospital for Companion Animals serves as her primary research environment where she leads social media initiatives that simultaneously support client communication and research recruitment.

Clinical Integration: Working within the Section for Diagnostic Imaging & Companion Animal Surgery and Clinical Specialties, she collaborates with surgical and clinical teams to translate imaging research into patient care protocols. Her social media management role creates unique synergy between public engagement and data collection for ongoing research projects in companion animal health.