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. |