News and Upcoming
I am happy for receiving the Best Lecture Award according to students voting at the 33rd Summer School of Image Processing (SSIP) in July 2025 in Szeged, Hungary.Glad to be part of the organizing team of the Fetal brain Tissue Annotation and segmentation (FeTA) Challenge 2024 at MICCAI 2024 in Marrakech, Marokko. Twitter: @FetaChallenge
PIPPI 2025 has been accepted as a satellite event at MICCAI2025 in Daejong, Republic of Korea. Twitter: @PIPPIworkshop
I am excited attend the fourth Fetal Infant Toddler Neuro imaging Group (FIT'NG) Annual Conference in Dublin, taking place between 7th and 8th of September 2025. Link
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 graduated her PhD study at TU Wien in cooperation with the Computational Imaging Research (CIR) Lab at the Medical University of Vienna in March 2021 and has worked as an university assistant at CVL until October 2021. Subsequently, she was a postdoctoral research fellow at the Massachusetts General Hospital and Harvard Medical School in Boston, US at the Laboratory for Computational Neuroimaging. Since 2023 she is a faculty member and head of the Early Life Image Analysis (ELIA) Group at CIR Lab at the Medical University of Vienna, external lecturer at University of Vienna and since 2025 university lecturer at TU Wien at CVL.
Research Interests
– Spatio-temporal modelling and diffeomorphic registration
– Fetal and pediatric brain development
– Functional brain networks and plasticity
– Paediatric Cancer Research (Leukemia, Neuroblastoma)
– Epilepsy
– Postmortem Image Analysis and Sudden Infant Death Syndrom (SIDS)
Selected Recent Publications
J. Tischer, P. Kienast, M. Stümpflen, G. Kasprian, G. Langs, R. Licandro, Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation, In: D. Link-Sourani et al. (Eds) 10th MICCAI Workshop on Perinatal, Preterm and Paediatric Image Analysis (PIPPI 2025), Lecture Notes in Computer Science, vol t.b.d. Springer, Cham, September 2025 (accepted).
T. Ciceri , M. Stümpflen, J. Tischer, G. Kasprian, D. Peruzzo, R. Licandro, FetGEs: a Deep Learning Approach for Fetal MRI Ganglionic Eminence Segmentation, In: D. Link-Sourani et al. (Eds) 10th MICCAI Workshop on Perinatal, Preterm and Paediatric Image Analysis (PIPPI 2025), Lecture Notes in Computer Science, vol t.b.d. Springer, Cham, September 2025 (accepted).
M. Berger, R. Licandro, K.-H. Nenning, G. Langs, S.B. Bonelli, Artificial intelligence applied to epilepsy imaging: Current status and future perspectives, Revue Neurologique, 2025, ISSN 0035-3787, https://doi.org/10.1016/j.neurol.2025.03.006
Synek A., Benca E., Licandro R., Hirtler L., Pahr D. H., Predicting strength of femora with metastatic lesions from single 2D radiographic projections using convolutional neural networks, Computer Methods and Programs in Biomedicine, 2025,108724,ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2025.108724.
Halie A. Olson, M. Catalina Camacho, Gavkhar Abdurokhmonova, Sahar Ahmad, Emily M. Chen, Haerin Chung, Renata Di Lorenzo, Áine T. Dineen, Melanie Ganz, Roxane Licandro, Caroline Magnain, Natasha Marrus, Sarah A. McCormick, Tara M. Rutter, Lauren Wagner, Kali Woodruff Carr, Lilla Zöllei, Kelly A. Vaughn, Kathrine Skak Madsen, Measuring and interpreting individual differences in fetal, infant, and toddler neurodevelopment, Developmental Cognitive Neuroscience, 2025, 101539, ISSN 1878-9293, https://doi.org/10.1016/j.dcn.2025.101539.
Weilguny N., Licandro R., Tomschik M., Kasprian G., Rössler K., Dorfer C., and Hangel G., A Graph Theory based Pipeline for Intraoperative Resting-State fMRI Analysis, International Society for Magnetic Resonance in Medicine ISMRM 2025, May 2025
Munro, Papp, Toth, Weidinger, Nikolic, Vesela, Bruckmüller, Cadonna, Jana Eder, Gorzala, Hahn, Langs, Licandro, Mata, McIntyre, Meir-Huber, Móra, Pasieska, Rugli, Wazir, Zauner, Handbuch Data Science und KI, mit Machine Learning und Datenanalyse Wert aus Daten generieren, 3rd Edition, HANSER Publishers, Munich ISBN 978-3-44647-937-1, 876 pages Link
S. Gutwein, M. Kampel, S. Taschner-Mandl, R. Licandro, FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection. In: Sudre, C.H., Mehta, R., Ouyang, C., Qin, C., Rakic, M., Wells, W.M. (eds) Uncertainty for Safe Utilization of Machine Learning in Medical Imaging. UNSURE 2024. Lecture Notes in Computer Science, vol 15167. Springer, Cham. https://doi.org/10.1007/978-3-031-73158-7_3 – Best Presentation Award.
Gutwein, M. Kampel, S. Taschner – Mandl, R.Licandro, GENUINE: Genomic and Nucleus Information Embedding for Single Cell Genetic Alteration Classification in Microscopic Images, In Proceedings of the 13th Int. Conference on Pattern Recognition Application and Methods – ICPRAM, ISBN 978-989-758-684-2; ISSN 2184-4313, SciTePress, pages 27-36, February 2024 https://doi.org/10.5220/0012319700003654 . Nomination Best Student Paper Award.
D. Sobotka, M. Ebner, E. Schwartz, K.-H. Nenning, A. Taymourtash, T. Vercauteren, S. Ourselin, G. Kasprian, D. Prayer, G. Langs, R.Licandro, Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data, NeuroImage, Volume 255, 2022, 119213, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2022.119213, April 2022.
Sipiran I., Lazlo P., Lopez C., Jimenez M., Bagewad N., Bustos B., Dao H., Gangisetty S. Hanik M., Ho-Thi N.-P., Jarnikov D., Labrada A., Lengauer S., Licandro R., Nguyen D.-H., Ngyen-Ho T.-L., Perez-Rey L.A., Pham M.-K., Preiner R., Schreck T., Trinh Q.H., Tonnaer L., von Tycowicz C., Vu-Le T.A., “SHREC 2021: Retrieval of Cultural Objects”, Journal of Computer & Graphics, July 2021. https://doi.org/10.1016/j.cag.2021.07.010
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
Awards & Achievements
– Best Lecture Award, 33rd Summer School on Image Processing, Szeged, Hungary, 10th – 19th July 2025.
– Best Poster Award (T. Ciceri et al.), AIRMM 2025, Lecco, Italy, March 2025.
– Best Poster Presentation Award (S. Gutwein et al), MICCAI-UNSURE2025, Marakech, Marokko, October 2024.
– FLUX Travel Award, Flux Society Congress 2023, Santa Rosa, CA, US, September 2023.
– Nomination Best Distance Learning Award 2021, TU Wien.
– Nomination Best Teaching Award 2019, TU Wien.
– 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
-PI Member Comprehensive Center for AI in Medicine (CAIM), Medical University of Vienna
– Social Committee Member, FITNG Society since 2020
– Member of the Organizing Committee of CVPR2017-WiCV, MICCAI-DATRA 2018 , MICCAI-PIPPI since 2028, FeTA2021 Challenge, BrainHack Vienna 2019&2023
– MICCAI Student Board President 2018-2020, Professional Student Events Officer 2017
– Program Committee Member CVWW 2017 , MICCAI-RAMBO 2017, MICCAI-FIFI2017, CIARP 2017-, CVPR-WiCV2018, MICCAI since 2018, DGM4MICCAI since 2021, IPMI 2021, MIDL 2022, MedNeurips 2022, MICCAI-CAPI 2025
Current Teaching
UE 183.630 Medical Image Processing
Former Teaching
SE 183.588 Seminar Computer Vision and Pattern Recognition
VU 183.585 Computer Vision
PR 183.583 Supervision of Practical Projects, Bachelor’s and Master’s Thesis in the field of Visual Computing and Medical Informatics
SE Seminar Scientific Research and Writing (Part 2 – Medical Computer Vision)
VU 186.822 Introduction to Visual Computing
UE 183.130 3D Vision
EX 183.590 Applications of Computer Vision