Jussi Tohka

Jussi Tohka is a Professor at the University of Eastern Finland (UEF) in the Faculty of Health Sciences, affiliated with the A.I. Virtanen Institute for Molecular Sciences. His primary role is in Biomedical Image Analysis, focusing on machine learning applications in neuroimaging, signal processing, and medical data analysis. Key research interests include predictive modeling for neurodegenerative diseases, MRI harmonization, and advanced image segmentation techniques.

• Academic Position: Professor of Biomedical Image Analysis
• Affiliations: UEF Brain Research Unit, Kuopio Biomedical Image Analysis Center (KUBIAC)
• Projects: Neuro-Innovation, Enhancing Innovation Potential via Biomedical Image Analysis

His research combines computational methods with clinical applications, addressing challenges in epilepsy biomarkers, traumatic brain injury, and Alzheimer’s disease progression. Notable contributions include developing tools for data harmonization across multisite studies and optimizing neural network architectures for medical image analysis.

Publications span topics like deep learning for dendrite segmentation, predictive modeling of amyloid positivity, and MRI-based assessments of brain microstructure. His work bridges fundamental neuroscience with translational medical imaging solutions.