Roxane Licandro graduated the master study of medical informatics at the Vienna University of Technology (TU Wien) with distinction in January 2016. She worked eight years as assistant of the creative director at the Kunsthistorisches Museum Wien and subsequently continued her working experiences as software developer at AGFA Healthcare. During her studies at TU Wien she was employed as study assistant and teaching assistant at the Pattern Recognition and Image Processing (PRIP) Group, and as teaching assistant at the Institute of Computer Graphics and Algorithms and at the Computer Vision Lab (CVL) at TU Wien. She is currently working as a project assistant at CVL with focus on automated MRD-assessment in Acute Myeloid Leukemia (AML). She wrote her master’s thesis in cooperation with CVL and the Computational Imaging Research (CIR) Lab at the Medical University of Vienna and started her PhD at TU Wien in cooperation with CIR in the summer term 2016.
– Spatio-temporal modelling
– Diffeomorphic registration
– Fetal and pediatric brain development
– Functional brain networks and plasticity
Selected Recent Publications
Licandro R., Nenning K.-H., Schwartz E., Kollndorfer K., Bartha-Doering L., Langs G. Assessing Reorganisation of Functional Connectivity in the Infant Brain. MICCAI Fetal and InFant Image (FIFI) Analysis Workshop, Québec City (Canada), September 2017. PDF
Licandro R., Nenning K.-H., Schwartz E., Kollndorfer K., Bartha-Doering L., Langs G. Changing Functional Connectivity in the Child’s Developing Brain Affected by Ischaemic Stroke. MICCAI PerInatal, Preterm and Paediatric Image (PIPPI) Analysis Workshop, Athens (Greece), Oktober 2016. PDF
Licandro R., Rota P., Reiter M., Kampel M., ” Flow Cytometry Based Automatic MRD Assessment in Acute Lymphoblastic Leukaemia: Longitudinal Evaluation of Time-Specific Cell Population Models”, 14th International Workshop on Content-based Multimedia Indexing, Bucharest (Romania), June 2016. PDF
Licandro R., Langs G., Kasprian G., Sablatnig R., Prayer D., Schwartz E., “A Longitudinal Diffeomorphic Atlas-Based Tissue Labeling Framework for Fetal Brains using Geodesic Regression“, Computer Vision Winter Workshop, Rimske Toplice (Slovenia), February 2016. PDF
R. Licandro, “Longitudinal Diffeomorphic Fetal Brain Atlas Learning for Tissue Labeling using Geodesic Regression and Graph Cuts”, Vienna University of Technology, January 2016.
– Member of the Organizing Committee of the Women in Computer Vision (WiCV) Workshop at CVPR 2017
– Professional Student Events Officer at MICCAI Student Board
– Program Committee Member CVWW 2017