Roxane Licandro

Publications

 

Year Reference
2021 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., R. Licandro, 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
2021 R. Licandro , J. Hofmanninger, M. Perkonigg, S. Roehrich, M.-A. Weber, M. Wennmann, L. Kintzele, B. Menze, G. Langs, “Spatio Temporal Evolution Risk Prediction of Focal Bone Lesions in Multiple Myeloma”, European Congress of Radiology (ECR), March 2021.
2021 Gau R., Noble S., Heuer K., Bottenhorn K. L.,…, Licandro R. et al. 2021. “Brainhack: Developing a Culture of Open, Inclusive, Community-driven Neuroscience.”, Journal Neuron, January2021. https://doi.org/10.1016/j.neuron.2021.04.001
2020 R. Licandro, J. Hofmanninger, M. Perkonigg, S. Roehrich, M.-A. Weber, M. Wennmann, L. Kintzele, B. Menze, G. Langs, “Evolution Risk Prediction of Bone Lesions in Multiple Myeloma”, European Congress of Radiology (ECR), March 2020.
2020 A. Taymourtash, E. Schwartz, K.-H. Nenning, R. Licandro, M. Diogo, P. Golland, E. Grant, G. Kasprian, D. Prayer, and G. Langs, “Functional thalamocortical connectivity development revealed by in-utero resting state fMRI”, In Proceedings of Utero-MRI Workshop, Oxford, United Kingdom, January 2020.
2020 Langs G., Attenberger U., Licandro R., Hofmanninger J., Perkonigg M., Zusag M., Röhrich S., Sobotka D., Prosch H., “Maschinelles Lernen in der Radiologie: eine Begriffsbestimmung vom Einzelzeitpunkt bis zur Trajekotrie“, Der Radiologe, December 2019.
2019 D. Sobotka, R. Licandro, M. Ebner, E. Schwartz, T. Vercauteren , S. Ourselin,  G. Kasprian, D. Prayer, G. Langs, „Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI”, Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, LNCS volume 11798, Springer, Cham, ISBN: 978-3-030-32874-0, DOI: https://doi.org/10.1007/978-3-030-32875-7, October 2019.
2019
 
R. Licandro, J. Hofmanninger, M. Perkonigg, S. Röhrich, M.-A. Weber, M. Wennmann, L. Kintzele, M. Piraud, B. Menze, G. Langs, “Asymmetric Cascade Networks for Focal Bone Lesion Prediction in Multiple Myeloma”, International Conference on Medical Imaging with Deep Learning (MIDL), London (UK), July 2019.
2019
 
D. Sobotka, E. Schwartz, R. Licandro, M.C. Diogo, G. Dovjak, G. Kasprian, D. Prayer, G. Langs, “Short-range functional connectivity of the fetal brain in utero”, Medical Imaging Cluster Festival, Medical University of Vienna, Vienna, June 2019.
2019
 
R. Licandro, J. Hofmanninger, M. Perkonigg, S. Röhrich, M.-A. Weber, M. Wennmann, L. Kintzele, M. Piraud, B. Menze, G. Langs, “Predicting the Evolution Risk of Focal Lesions in Multiple Myeloma”, Medical Imaging Cluster Festival, Medical University of Vienna, Vienna (Austria), June 2019.
2019
 
A. Taymourtash, E. Schwartz, K.-H. Nenning, R. Licandro, D. Sobotka, G. Kasprian, D. Prayer, M. Diogo, G. Langs, “Functional Thalamocortical Connectivity Development Revealed by In utero Resting state fMRI”, Medical Imaging Cluster Festival, Medical University of Vienna, Vienna (Austria), June 2019.
2019 R. Licandro, K. Miloserdov, M. Reiter, M. Kampel, “GMM Interpolation for Blood Cell Cluster Alignment in Childhood Leukaemia”, Proceedings of the ARW & OAGM Workshop 2019, Steyer (Austria), Mai 2019. DOI:10.3217/978-3-85125-663-5-39 PDF
2019 Langs G., Schwartz E., Licandro R., Taymourthash A., Sobotka D., Kasprian G., Jakab A., Prayer D. “Modelling Structural and Functional Brain Development in Utero”, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Venice, April 2019.
2019 Licandro R., Hofmanninger J., M.-A. Weber, B. Menze, G. Langs, “Whole-body MRI based lesion prediction in multiple myeloma”, European Congress of Radiology (ECR) 2019 , Vienna, February 2019.
2019 Scheithe J., Licandro R., Rota P., Reiter M., Diem M., Kampel M. (2019) Monitoring Acute Lymphoblastic Leukemia Therapy with Stacked Denoising Autoencoders. In: Peter J., Fernandes S., Eduardo Thomaz C., Viriri S. (eds) Computer Aided Intervention and Diagnostics in Clinical and Medical Images. Lecture Notes in Computational Vision and Biomechanics, vol 31. Springer, Cham, https://doi.org/10.1007/978-3-030-04061-1_19
2018 Licandro R., Hofmanninger J., M.-A. Weber, B. Menze, G. Langs, “Predicting Future Bone Infiltration Patterns in Multiple Myeloma”, 4th International Workshop on Patch-based Techniques in Medical Imaging (MICCAI Patch-MI 2018) , Granada (Spain), September 2018. DOI: 10.1007/978-3-030-00500-9 PDF
2018 Licandro R. and Schlegl T., Reiter M., Diem M., Dworzak M., Schumich A., Langs G., Kampel M., “Blast Identification in Childhood Acute Myeloid Leukaemia using WGAN Latent Space Embeddings”, Poster Medical Imaging Summer School (MISS 2018) , Favignana, July 2018.
2018 Frauenstein L., Nenning K.-H., Schwartz E., Licandro R., Bühler K., Langs G., „Dimensionality reduction for analysis of functional connectivity in the developing human brain, Forum of Neuroscience (11th FENS 2018) , Berlin (Germany), July 2018.
2018 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. IEEE, pp. 3868-3873.
DOI: 10.1109/ICPR.2018.8546177 PDF
2018 Licandro R., J. Hofmanninger, M.-A. Weber, B. Menze, G. Langs, “Early Predictors of Bone Infiltration in Multiple Myeloma Patients from T2 weighted MRI images”, Proceedings of the 42nd Austrian Association for Pattern Recognition (OAGM/AAPR) workshop 2018, pages 9-12, Hall in Tyrol (Austria), May 2018, DOI: 10.3217/978-3-85125-603-1 PDF
2018 Licandro R., J. Hofmanninger, B. Menze, M.-A. Weber, G. Langs, “​Whole​ ​body​ ​image​ ​analysis​ ​for​ ​diagnosing​ ​patients​ ​with monoclonal​ ​plasma​ ​cell​ ​disorders”, European Project Space on Intelligent Systems and Machine Learning (EPS-IST), 7th International Conference on Pattern Recognition Applications and Methods, Funchal – Madeira (Portugal), January 2018.
2018 Licandro R., Reiter M., Diem M., Dworzak M., Schumich A., Kampel M. “Application of Machine Learning for Automatic MRD Assessment in Paediatric Acute Myeloid Leukaemia”. 7th International Conference on Pattern Recognition Applications and Methods (ICPRAM) , Funchal Madeira (Portugal), January 2018. DOI: 10.5220/0006595804010408  PDF
2017 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”. MICCAI Fetal and InFant Image (FIFI) Analysis Workshop, Québec City (Canada), September 2017. PDF
2017 Licandro R., Langs G., Kampel M., “Spatio Temporal Modelling of Dynamic Developmental Patterns”, poster , Medical Image Computing Summer School (MedICSS), London (United Kingdom), July 2017.
2016 Licandro R., Nenning K.H., Schwartz E., Kollndorfer K., Bartha-Doering L., Langs G., “Changing Functional Connectivity in the Child’s Developing Brain Affected by Ischaemic Stroke”, MICCAI PerInatal, Preterm and Paediatric Image (PIPPI) Analysis Workshop, Athens , Oktober 2016. PDF
2016 Licandro R., Nenning K.H., Kollndorfer K., Bartha-Doering L., Langs G., “Longitudinal Influence Assessment of Paediatric Stroke Events on Resting State Networks”, poster, 5th Biennial Conference on Resting State Brain Connectivity, Vienna, September 2016.
2016 Licandro R., Rota P., Reiter M., Kleber F., Diem M., Kampel M., “Automatic Detection of Leukaemic Cells in Flow Cytometric Data for Minimal Residual Disease Assessment”, poster, EuroScience Open forum (ESOF) – Marie Skłodowska-Curie Actions Satellite Event ‘Research and Society’, Manchester, July 2016.
2016 Licandro R., Langs G., Kampel M., “Spatio Temporal Modelling of Dynamic Developmental Patterns”, poster , International Computer Vision Summer School (ICVSS), Sicily, July 2016.
2016 Licandro R., Langs G., Kasprian G., Sablatnig R., Prayer D., Schwartz E., “Longitudinal Atlas Learning for Fetal Brain Tissue Labeling using Geodesic Regression”, Woman in Computer Vision (WiCV) Workshop at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas (U.S.A.), July 2016.
2016 Licandro R., Rota P., Reiter M., Kampel M., ” Flow Cytometry Based Automatic MRD Assessment in Acute Lymphoblastic Leukaemia: Longitudinal Evaluation of Time-Specific Cell Population Models”, 14th International Workshop on Content-based Multimedia Indexing, Bucharest (Romania), June 2016. PDF
2016 Licandro R., Rota P., Reiter M., Kampel M., “AutoFLOW: a novel heuristic method to automatically detect leukaemic cells in flow cytometric data“, poster, 3rd Austrian Biomarker Symposium 2016 on early diagnostics, Vienna (Austria), March 2016.
2016 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
2014 Licandro R., Schwartz E., Langs G., Sablatnig R., “Longitudinal Diffeomorphic Fetal Brain Atlas Learning for Tissue Labeling using Geodesic Regression and Graph Cuts”, poster , Medical Imaging Summer School (MISS), Favignana, July 2014.

Presentations

2019 Berlin, Germany, “Learning Dynamic Models from Spatio Temporal Data”, Zuse Institute Berlin, December 4th, 2019.
2019 London, United Kingdom, “Mapping Dynamic Developmental Patterns: Precision Medicine Models from Spatio Temporal Data”, King’s College London, July 11th, 2019.
2019 Vienna, Austria, “Whole-body MRI based Lesion Prediction in Multiple Myeloma”, European Congress of Radiology (ECR) 2019 , February 28th. Link
2019 Vienna, Austria, “Deep Learning in Medical Imaging”, guest lecture, TU Wien, Faculty of Informatics , January 9th.
2017 London, United Kingdom, “Spatio Temporal Assessment of Developing Patterns: from Fetal MR Imaging to Flowcytometry”, University College London, Centre of Medical Image Computing, Translational Imaging Group , June 22nd.
2017 Zurich, Switzerland, “Spatio Temporal Assessment of Developing Patterns: from Fetal MR Imaging to Flowcytometry”, ETH Zürich, Computer Vision Lab, Zürich, May 10th.
2017 Sierre, Switzerland, “Spatio Temporal Assessment of Developing Patterns: from Fetal MR Imaging to Flowcytometry”, University of Applied Sciences Western Switzerland, Sierre (HES-SOS), Institution of Information Systems, May 9th.
2017 Zurich, Switzerland, “Spatio Temporal Modelling of Developmental Processes”, University Children’s Hospital Zurich, Center of MR-Research, April 24th.
2016 Vienna, Austria, “Automatic MRD Assessment in Flow Cytometry of Different Leukaemia Types in Children: An Overview”, Workshop on the ICT Contribution to the Development of Clinical Applications, April 18th.
2014 Le Puy-En Velay, Auvergne , France, “Longitudinal Diffeomorphic Fetal Brain Atlas Learning for Tissue Labeling using Geodesic Regression and Graph Cuts”, Institut Universitair de Technologie (IUT), July 1st.

Media Coverage

2017 Filatova L., Licandro R., “Academia and Industry”, MICCAI 2017 Daily Tuesday, RSIPVISION, 12.09.2017.
2017 Licandro R., “Roxane’s Picks of the day”, CVPR 2017 Daily Tuesday, RSIPVISION, 25.07.2017.
2014 Licandro R., “Medizinische Bildverarbeitung trifft Computer Vision”, OCG BLOG, 05.09.2014.

Thesis

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