AIDA Data Hub

Mapping the Landscape of Care Providers’ Quality Assurance Approaches for AI in Diagnostic Imaging.

C. Lundström, M. Lindvall,

J Digit Imaging

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications

K. Stacke, J. Unger, C. Lundström, G. Eilertsen,

Machine Learning for Biomedical Imaging1 (August 2022 issue)

Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology.

M. Pocevičiūtė, G. Eilertsen, S. Jarkman, C. Lundström,

Sci Rep12 (1) 8329

Semi-supervised learning with natural language processing for right ventricle classification in echocardiography-a scalable approach.

E. Hagberg, D. Hagerman, R. Johansson, (…), E. Björnsson, J. Alvén, O. Hjelmgren,

Comput Biol Med143 105282