Research area: digital pathology, deep learning, XAI, anomaly detection.
Explainability and robustness in digital pathology
Milda Pocevičiūtė is a Ph.D. candidate at Linköping University working in the Computer Graphics and Image processing group under supervision of Claes Lundström and Gabriel Eilertsen. The previous education includes MSc Statistics and Machine learning from the Linköping University (acquired in 2019).
The research focus is on digital pathology and what explainable artificial intelligence (XAI), anomaly detection and uncertainty techniques are necessary for bringing state-of-the-art deep learning algorithms to the clinical practice.