Roxane Licandro




+43 1 58801 - 193179


HE 0432

Office hours

By appointment





News and Upcoming

Our work on “Evolution Risk Prediction of Bone Lesions in Multiple Myeloma” got accepted at European Congress of Radiology (ECR) 2020 in Vienna.

Our book "Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis" is now available via Springer Link, October 2019.

Our Paper "WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia" got accepted at ICPR 2018 in August 2018.

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 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.

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.

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

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