News and Upcoming
I am looking forward to giving a lecture at the 34th Summer School on Image Processing in Timișoara, Romania.PIPPI 2026 has been accepted as a satellite event at MICCAI2026. Twitter: @PIPPIworkshop Join us at the Pint of Science Festival on 18th of May 2026 in Vienna! 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.
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
R. Licandro, M. Olchanyi, L.F. Ferraz da Silva, A. van der Kouwe, C. Jaimes, N. X. Ngo, W. Kelley, R. Folkerth, R. L. Haynes, B. L. Edlow, H. C. Kinney, L. Zöllei, High Resolution Postmortem MRI Discovers Developing Structural Connectivity in the Human Ascending Arousal Network, Human Brain Mapping, 46(17). https://doi.org/10.1002/hbm.70422.
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 16118. Springer Cham, September 2025. https://doi.org/10.1007/978-3-032-05997-0
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 https://doi.org/10.1007/978-3-032-05997-0
S. Gutwein, D. Lazic, T. Walter, S. Taschner-Mandl, R. Licandro, NeXtMarker: Contrastive Learning for Marker-Level Interpretability in Single-Cell Multiplex Imaging, Proceedings of the COMputational PAthologY and muLtimodal data MICCAI workshop, Best Presentation Award, October 2025 Link
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
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
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 Poster Presentation Award (S. Gutwein et al), MICCAI-COMPAYL 2025, October 2025.
– 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-UNSURE2024, 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
– Christian Doppler Laboratory for Mathematical modelling and simulations for next generations of ultrasound devices (MaMSi), 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
VU 913.215 Medical Image Processing and Machine Learning
Former Teaching
UE 183.630 Medical Image Processing
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