Licandro Roxane

Contact

E-Mail: roxane.licandro@meduniwien.ac.at
Phone: +43 (0)1 40400 73723

Computational Imaging Research Lab
Head of Early Life Image Analysis (ELIA) Group
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.

 

I will present our recent tractography research results on discovered patterns in the developing ascending arousal network in fetuses and infants on the 7^th Annual Sudden Infant Death Syndrome (SIDS) Summit taking place from 27^th - 28^th of March 2024. 

 

Happy to announce that I will be a lecturer at the 32nd Summer School on Image Processing (SSIP) held in Szeged from 11th - 20th of July 2024. Registration is still possible here

 

 

Honored to talk about my career path and research at the Career Event HEL/HBG at Technologisches Gewerbe Museum (TGM) in Vienna on 31^st of January 2024. 

 

 

Excited to give a talk in London at the Centre for the Developing Brain Seminars at King's College London - St. Thomas' Hospital on 15^th of January 2024.

 

 

 

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

Awards & Achievements

• Flux Society Travel Award 2023, FLUX Congress at Santa Rosa, California, US
• Honorable Mention for outstanding review - International Conference on Medical Imaging and Deep Learning 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)

Projects

• FETAL4D
• DACH Multiple Myeloma
• Reorgansiation of semantic language brain networks after paediatric stroke
• FETALMORPHO

Scientific Activities

• Member of the Organizing Committee of CVPR2017-WiCV,  MICCAI-DATRA 2018, MICCAI-PIPPI (since 2018), BrainHackVienna2019, FeTA Challenge (since 2021), FIT'NG FLUX2021, MIC Festival (since 2020), FIT'NG Conference 2022
• Communications Committee Member Fetal, Infant, Toddler Neuroimaging Group (FIT'NG) since 2021.
• MICCAI Student Board President (Nov. 2017 - Nov. 2019)
• Program Committee Member/Reviewer MICCAI-RAMBO 2017, MICCAI-FIFI, CIARP, CVPR-WDiCV, ICCV-WiCV2018, ACV (since 2018), MICCAI, ICMLA, IPMI (since 2021), DGM4MICCAI (since 2021), MIDL 2022, Med-Neurips 2022, CVWW 2023
• Journal Review Medical Image Analysis, Magnetic Resonance Imaging, Journal on Computing and Cultural Heritage, Machine Vision and Application, European Radiology, NeuroImage, NeuroImage Clinical, Scientific Report, Cerebral Cortex
   

Selected recent publications

• Payette, K., Li, H., de Dumast, P., Licandro, R., Ji, H., Siddiquee, M.M.R., Xu, D., Myronenko, A., Liu, H., Pei, Y. and Wang, L., 2023. Fetal brain tissue annotation and segmentation challenge results. Medical Image Analysis, p.102833. 2023
• A. Taymourtash, E. Schwartz, K.-H. Nenning, D. Sobotka, R. Licandro, S. Glatter, Mariana C. Diogo, P. Golland, E. Grant, D. Prayer, G. Kasprian, G. Langs, Fetal development of functional thalamocortical and cortico–cortical connectivity, Cerebral Cortex, 2023; bhac446
• Sobotka D., Ebner M., Schwartz E., Nenning K.-H., Taymourtash A., Vercauteren T., Ourselin S., Kasprian  G., Prayer D., Langs G., Licandro R., "Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data", NeuroImage, April 2022, https://doi.org/10.1016/j.neuroimage.2022.119213
• A. Lichtenegger, J. Tamaoki, R. Licandro, T. Mori, P. Mukherjee, L. Bian, S. Makita, S. Matsusaka, M. Kobayashi, B. Baumann, Y. Yasuno, "Longitudinal investigation of a xenograft tumor zebrafish model using polarization-sensitive optical coherence tomography". Scientific Report 12, 15381 (2022). https://doi.org/10.1038/s41598-022-19483-z
• 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. https://doi.org/10.34726/hss.2015.21890
R. Licandro, "Spatio Temporal Modelling of Dynamic Developmental Patterns", TU Wien, March 2021. https://doi.org/10.34726/hss.2021.39603