2016 Peer-reviewed conference papers P. Rota, F. Kleber, M. Reiter, S. Groeneveld-Krentz, and M. Kampel, “The role of machine learning in medical data analysis. a case study: Flow cytometry,” in Proceedings of the International Conference on Computer Vision Theory and Applications, 2016. 2015 Peer-reviewed conference papers P. Rota, N. Conci, N. Sebe, and J. … Continue reading Paolo Rota Recent Publications
Status of Master Thesis: in assignment Supervisors: Paolo Rota and Martin Kampel Problem Statement Minimal Residual Disease (MRD) is a powerful risk-stratification marker in the treatment of primary and relapsed childhood Acute Lymphoblastic Leukemia. Flow Cytometry (FCM) is a fast and sensitive method to detect MRD, however, the interpretation of these multiparametric data demands intensive operator training and experience and … Continue reading Flow Cytometry Minimal Residual Disease Assessment using Advanced Deep Neural Networks