Roxane Licandro

Info

Email

licandro@cvl.tuwien.ac.at

Phone

+43 1 58801 - 193179

Room

HE 0424

Office hours

By appointment

Research

Publications

Projects

FlowCLUSTER
AutoFLOW

News and Upcoming

We are glad to announce that the 5th Perinatal Imaging, Placental and Preterm Image analysis workshop (PIPPI 2020) will be held in conjunction with MICCAI 2020 in Lima, Peru, 4th - 8th October 2020.

Looking forward to be a speaker at Ultrasound meets Magnetic Resonance taking place in Vienna from 10th - 12th September 2020.

Looking forward to be a speaker at the Summer School on Image Processing (SSIP 2020) in Szeged Hungary, 9th - 18th July 2020.

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 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 Leukemia. She started her PhD at TU Wien in cooperation with the Computational Imaging Research (CIR) Lab at the Medical University of Vienna in the summer term 2016.

Research Interests
– Spatio-temporal modelling
– Diffeomorphic registration
– Fetal and pediatric brain development
– Functional brain networks and plasticity
– Automatic MRD Assessment in Leukaemia

Selected Recent Publications
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. Link.

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,” 2018 24th International Conference on Pattern Recognition (ICPR), Beijing, China, 2018, pp. 3868-3873. PDF

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., 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

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

Awards & Achievements
– Micro Travel Grant,  Marie Curie Alumni Association, August 2018.
– Best Paper Award, 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
– Member of the Organizing Committee of CVPR2017-WiCVMICCAI-DATRA 2018 , MICCAI-PIPPI 2018/2019
MICCAI Student Board President since Nov. 2017
– Professional Student Events Officer at MICCAI Student Board 2017
– Program Committee Member CVWW 2017 , MICCAI-RAMBO 2017, MICCAI-FIFI2017, CIARP 2017-, CVPR-WiCV2018-, MICCAI 2018-

Current Teaching
UE 183.130  3D Vision
EX 183.590  Applications of Computer Vision
PR 183.583  Supervision of Practical Projects, Bachelor’s and Master’s Thesis in the field of Visual Computing and Medical Informatics