Roxane Licandro

Contact

21.04.15 Radiologie 1136 ppkl

Dipl.-Ing. Dr. techn. Roxane Licandro, BSc
Email: 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.

News and Upcoming

 Screenshot 2022 01 23 at 19.44.27 This year the first FIT'NG conference will take place from 5 - 6th of September 2022 in Paris, France.

PIPPI Logo2021

PIPPI 2021 meets MELBA (the Journal of Machine Learning for Biomedical Imaging) with a special issue of extended versions of the 2021 workshop proceedings (online). Happy to support MELBA as a guest editor.
FeTA LOGO I am glad to be one of the organizers of the Fetal brain Tissue Annotation and segmentation (FeTA) Challenge accepted for MICCAI 2021. Please follow us on Twitter @FetaChallenge to be informed about the recent updates or visit the website https://feta-2021.grand-challenge.org/.

I am excited to be a speaker at the first FIT'NG conference at Sorbonne in Paris, France, 5-6th of September 2022. Link

Join us in Szeged Hungary, where I am looking forward to giving a lecture at the 30th Summer School on Image Processing (SSIP) 2022, 7-16 July 2022. Link

Our paper "Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies" got accepted at the Journal of Developmental Cognitive Neuroscience, February 2022. Link

Our paper "Reconstruction of Optical Coherence Tomography Images Retrieved from Discontinuous Spectral Data using Conditional Generative Adversarial Network" got accepted at the Journal Biomedical Optics Express, August 2021. Link

The May 2021 issue of Computer Vision News is out now! Excited to be featured in the Congrats, Doctor! Section Link.

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

Short CV

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.

Projects

Awards & Achievements

  • Honorable mention for outstanding review - MIDL 2022, Zürich, Switzerland
  • ECR 2022 Best Research Presentation Abstract - European Congress of Radiology 2022
  • 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)

Scientific Activities

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. Link

R. Licandro, "Spatio Temporal Modelling of Dynamic Developmental Patterns", TU Wien, March 2021. Link