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Licandro Roxane

  1. Department of Biomedical Imaging and Image-guided Therapy
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  3. Computational Imaging Research (CIR)
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Roxane Licandro

Senior Researcher and Post Doc

Contact

E-Mail: roxane.licandro@meduniwien.ac.at
Phone: +43 (0)1 40400 73724

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

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

I am also affiliated with the Laboratory for Computational Neuroimaging at Massachusetts General Hospital and Harvard Medical School.

Roxane Licandro graduated the master study of medical informatics at TU Wien with distinction in January 2016. She graduated her PhD studies in March 2021 at TU Wien in cooperation with CIR and worked as study assistant at Pattern Recognition and Image Processing (PRIP) Group,  and as teaching assistant at the Institute of Computer Graphics and Algorithms and as university assistant at the Computer Vision Lab at TU Wien. She is currently working as PostDoc research associate at CIR in various projects with focus on spatio temporal modelling and machine learning.

Research interests

  • Spatio-temporal modelling
  • Fetal and pediatric brain development
  • Functional brain networks and plasticity
  • Automatic MRD assessment in leukaemia
  • Statistical pattern analysis and computer vision

Awards & Achievements

  • Nomination, Best Distance Learning Award 2021 - TU Wien Team
  • Nomination, Best Lecture Award 2019 - TU Wien
  • Marie Curie Alumni Association Micro Travel Grant, August 2018
  • Best Paper Award at the International Conference on Clinical and Medical Image Analysis ICCMIA'18, July 2018
  • February 2017 – July 2017 Marie Skłodowska Curie Fellowship within the European Project AutoFLOW
  • Best Poster Award – 3rd Austrian Biomarker Symposium on Early Diagnostics 2016 (3rd Place)

Projects

Scientific Activities

  • Member of the Organizing Committee of CVPR2017-WiCV,  MICCAI-DATRA 2018, MICCAI-PIPPI (since 2018), BrainHackVienna2019, FeTA Challenge 2021, FIT'NG FLUX2021, MIC Festival (since 2020).
  • MICCAI Student Board President (Nov. 2017 - Nov. 2019)
  • Professional Student Events Officer at MICCAI Student Board 2017
  • Program Committee Member/Reviewer CVWW 2017, MICCAI-RAMBO 2017, MICCAI-FIFI, CIARP, CVPR-WDiCV, ICCV-WiCV2018, ACV (since 2018), MICCAI, ICMLA, IPMI 2021, DGM4MICCAI
  • Journal Review Medical Image Analysis, Magnetic Resonance Imaging, Journal on Computing and Cultural Heritage, Machine Vision and Application, European Radiology, NeuroImage, NeuroImage Clinical, Scientific Report
     

Selected recent publications

  • Lichtenegger R., Salas M., Sing A., Duelk M., Licandro R., Gesperger J., Baumann B., Drexler W., Leitgeb R., "Reconstruction of Optical Coherence Tomography Images Retrieved from Discontinuous Spectral Data using Conditional Generative Adversarial Network", Journal Biomedical Optics Express, 12, 6780-6795 (2021). https://doi.org/10.1364/BOE.435124
  • Licandro R., Hofmanninger J., Perkonigg M., Röhrich S., Weber M.-A., Wennmann M., Kintzele L., Piraud M., Menze B., Langs G., "Asymmetric Cascade Networks for Focal Bone Lesion Prediction in Multiple Myeloma", International Conference on Medical Imaging with Deep Learning (MIDL), London, July 2019. https://arxiv.org/abs/1907.13539.
  • Licandro R. and Schlegl T., Reiter M., Diem M., Dworzak M., Schumich A., Langs G., Kampel M., "WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia, 24th International Conference on Pattern Recognition (ICPR) 2018, Beijing, August 2018.
  • 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. MICCAI FIFI 2017, OMIA 2017. Lecture Notes in Computer Science, vol 10554. Springer, Cham. Quebéc (Canada), September 2017.PDF
  • 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.
     

Thesis

R. Licandro, "Longitudinal Diffeomorphic Fetal Brain Atlas Learning for Tissue Labeling using Geodesic Regression and Graph Cuts", TU Wien, January 2016.
R. Licandro, "Spatio Temporal Modelling of Dynamic Developmental Patterns", TU Wien, March 2021