Professor in Computerized Image Analysis. Focus on DDLS. Development of machine learning methods for biomedical image processing. Particular interest in correlative imaging, learning-based multimodal data analysis and information fusion. AI-supported cancer detection and personalized cancer treatment: (1) prediction of response to immunotherapy and modeling of cancer microenvironment; (2) early detection of malignancy from whole-slide cytology.
Nataša Sladoje
Uppsala University
Key Publications
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection
Computers in Biology and Medicine, 2025
Cross-modality sub-image retrieval using contrastive multimodal image representations
Scientific Reports, 2024
Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection
PLoS ONE, 2024
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection
arXiv, 2024