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
From Cells to Survival: Hierarchical Analysis of Cell Inter-relations in Multiplex Microscopy for Lung Cancer Prognosis
2027
Incremental prognostic value of immune cell densities beyond clinical parameters in non-small cell lung cancer
Lung Cancer, 2026
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