Joakim Lindblad

Development of robust deep learning techniques for DDLS. Development of trustworthy and explainable AI approaches for practical use in biomedical and medical image data analysis. PI for several research projects aiming to exploit the power of modern data driven image analysis for use in biomedicine and healthcare, with a particular focus on AI-supported cytology, early cancer detection and diagnostics. Self supervised and multimodal learning from weakly labeled image data.