Morando, M., Trombini, M., & Dellepiane, S. (2019, April). Application of SVM for Evaluation of Training Performance in Exergames for Motion Rehabilitation. In Proceedings of the 2019 International Conference on Intelligent Medicine and Image Processing (pp. 1-5). ACM.
Morando, M., Ponte, S., Ferrara, E., & Dellepiane, S. (2018). Definition of motion and biophysical indicators for home-based rehabilitation through serious games. Information, 9(5), 105.
M. Morando, E. Bacci Bonotti, G. Giannarelli, S. Olivieri, S Dellepiane, F. Cecchi, “Monitoring Home-Based Activity of Stroke Patients: A Digital Solution for Visuo-Spatial Neglect Evaluation” International Conferenze on Neurorehabilitation (ICNR2018)
E. Ferrara, S. Ponte, M. Morando, S. Dellepiane (2017). ReMoVES Remote Monitoring Validation Engineering System: new way of care. In F. Cavallo, V. Marletta, A. Monteriù, P. Siciliano: Ambient Assisted Living: Italian Forum 2017. Paper presented at ForItAAL 2017, Genova.
Matteo Morando, Serena Ponte, Elisa Ferrara, Silvana Dellepiane, Biophysical and Motion Features Extraction for an effective home-based Rehabilitation, In 2017 International Conference on Bioinformatics Research and Applications (ICBRA 2017)
S. Ponte, M. Morando, E. Ferrara, M. Simonini, “Validazione del sistema ReMoVES per il Monitoraggio Remoto della riabilitazione” 45° Congresso Nazionale SIMFER, Riabilitazione e disabilità attraverso il ciclo della vita, Genova 22-25 Ottobre 2017
Ferrara, S.Nardotto, S.Ponte, SG. Dellepiane. (2014) Infrastructure for data management and user centered rehabilitation in Rehab@Home project. PETRA’14, May 27-30, 2014, Island of Rhodes, Greece. ISBN: 978-1-4503-2746-6 doi>10.1145/2674396.2674419
Ponte, E. Ferrara, SG. Dellepiane. Home-based system for rehabilitation: improving quality of life through engineering solutions, Engineering 4 Society, Raising awareness for the societal and environmental role of engineering and (re)training engineers for participatory design. IEEE Conference June 18 and 19, 2015 Leuven, Belgium. Pp.126-130
Ponte, S.Gabrielli, J. Jonsdottir, M. Morando, SG. Dellepiane. Monitoring Game-Based Motor Rehabilitation of Patients at Home for Better Plans of Care and Quality of Life, Conference Of the IEEE Engineering in Medicine and Biology Society (EMBC), August 25-29, 2015 Milano, Italy. 978-1-4244-9270-1/15/$31.00 ©2015 IEEE pp. 3941-3944.
Khalilinezhad. M, Dellepiane. S Vernazza. G, Detecting HCC Tumor in Three Phasic CT liver Images with Optimization of Neural Network, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering. Vol: 9, No:3, 2015.
Khalilinezhad. M, Dellepiane S. Vernazza. G, Prediction of Healthy Blood with Data mining Classification by Using Decision Tree, Naive Baysian, and SVM Approaches, 3rd International Conference on Image Vision and Computing ( ICIVC 2014) Paris, France, 2014.
Khalilinezhad. M, Dellepiane. S, Abedi. F, Vernazza.G, Extracting Hidden Patterns in Blood Donor Database using Associaiton rule Mining, European Data mining conference, Lisbon. Portugal. July 2014.
Dellepiane. G.S, Khalilinezhad, Ferretti. R. M, Tri-phaisc CT Liver Characterization and Color Data Fusion , International Journal of Advance Research in Computer and Communication Engineering. Vol: 4, Augest 2015, ISSN: 2278-1021.
De Martino, M., Dellepiane, S., Gemme, L., Moser, G., Serpico, S. B., Toma, M., … & Pedroncini, A. (2014, July). The SEAGOSS project: Monitoring coastal seawater in Italy by remote sensing data. In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International (pp. 4454-4457). IEEE.
Gemme, L., Ferretti, R., & Dellepiane, S. (2015, April). Liver tissue characterization and multitemporal parameter selection in triphasic CT. In In Biomedical Imaging: From Nano to Macro, 2015 IEEE International Symposium on. IEEE.
Gemme, L., Dellepiane, S., & Vernazza, G. (2015, May). Azimuth ambiguity spatial correlation composite (ASCC): A novel method for ghost enhancement in SAR images. In OCEANS 2015-Genova (pp. 1-5). IEEE.
Gemme, L., & Dellepiane, S. (2015, July). A fuzzy graph-based segmentation for marine and maritime applications in SAT images. In Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. IEEE.
Gemme, L., & Dellepiane, S. (2015). A new graph-based method for automatic segmentation. In Image Analysis and Processing—ICIAP 2015 (pp. 601-611). Springer International Publishing.
Nardotto, S., Ferretti, R., Gemme, L., & Dellepiane, S. (2015, September). Optimizing and Evaluating a Graph-Based Segmentation of MRI Wrist Bones. In New Trends in Image Analysis and Processing–ICIAP 2015 Workshops (pp. 159-166). Springer International Publishing.
Nardotto, S., Gemme, L., & Dellepiane, S. (2015, December). An optimal and automatic graph cut method for biomedical images using compactness measure. In International Conference on Computer Science and Information Technology (ICCSIT)
Nardotto S., D’Angelo G. :”An alternative method to evaluate Threshold Criteria in image segmentation using ROC analysis.” International Journal of Research in Engineering and Science (IJRES) Volume 4- Issue 3, March 2016 e – ISSN No : 2320-9364 p – ISSN No : 2320-9356.
Nardotto Sonia, and Silvana G. Dellepiane. “An Automatic Segmentation Method for MRI Multiparametric Volumes.” International Journal of Computer Theory and Engineering, Vol. 6, No. 2, April 2014 DOI: 10.7763/IJCTE.2014.V6.840
Dellepiane, Silvana G., and Sonia Nardotto. “Fuzzy Image Segmentation: An Automatic Unsupervised Method.” Computational Modeling of Objects Presented in Images. Springer International Publishing, 2014. 65-88.
Dellepiane Silvana G., Valeria Carbone and Sonia Nardotto: “An automatic unsupervised fuzzy method for image segmentation.” In CompIMAGE 2012, Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications”,pp.307-312, Di Giamberardino et al. (eds) 2012 Taylor & Francis Group, London, ISBN 978-0-415-62134-2