Roxane Licandro


     Roxane Licandro

      Dipl.-Ing. Roxane Licandro, BSc
      Email: roxane.licandro @

      Computational Imaging Research Lab
      Department of Biomedical Imaging and Image-guided Therapy
      Medical University of Vienna
      Waehringer Guertel 18-20
      A-1090 Vienna / Austria

Anna Spiegel Center of Translational Research
(building 25, floor 7, room 27)

I am also affiliated with the Computer Vision Lab at the Vienna University of Technology, where I am currently working as project assistant in the FlowCLUSTER Project.

Research interests

  • Spatio-temporal modelling
  • Diffeomorphic registration
  • Fetal and pediatric brain development
  • Functional brain networks and plasticity

Short CV

Roxane Licandro graduated the master study of medical informatics at the Vienna University of Technology (TU Wien) with distinction in January 2016.  She worked 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 the Computer Vision Lab at TU Wien. She joined the CIR-Lab in summer 2012 and wrote her master’s thesis in cooperation with CVL and the CIR-Lab. She is currently engaged in her PhD studies at TU Wien in cooperation with CIR.


  • Reorgansiation of semantic language brain networks after paediatric stroke

Selected Recent Publications

Licandro R. Nenning K.H., Schwartz E., Kollndorfer K., Bartha-Doering L., Liu H., Langs G. Assessing Reorganisation of Functional Connectivity in the Infant Brain. In: Cardoso M. et al. (eds) Fetal, Infant and Ophthalmic Medical Image Analysis. FIFI 2017, OMIA 2017. Lecture Notes in Computer Science, vol 10554. Springer, Cham

Licandro R., Langs G., Kasprian G., Sablatnig R. Prayer D., Schwartz E., " Longitudinal Atlas Learning for Fetal Brain Tissue Labeling using Geodesic Regression", WiCV Workshop at the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas (U.S.), July 2016.

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.


R. Licandro, "Longitudinal Diffeomorphic Fetal Brain Atlas Learning for Tissue Labeling using Geodesic Regression and Graph Cuts", Vienna University of Technology, January 2016. Link