PhD: 2005; PhD in Computer Science; University of Milan
MSc: 2001; M.Sc. in Computer Science; University of Milano
Email: elena (dot) casiraghi (at) unimi (dot) it
Main interests: Medical/Biomedical image processing, Machine Learning, Digital twin Applications
Elena Casiraghi's interest in the information technology research field date to the year 2000, when she worked in the Information Technology Department in VTT (Valtion Teknillinen Tutkimuskeskus, Helsinki, Finland), developing Virtual Reality applications and face recognition applications (project in cooperation with Nokia). Her research work in the Department of Computer Science in Milan started with the deveopment of artificial intelligence, to develop automatic systems for medical and biomedical image processing and pattern recognition. She has worked on digital chest radiographs, abdominal computer tomography scans, magnetic resonance images of fetal brains, mouse images produced by molecular imaging, tissue images stained with different biological procedures and acquired by digital microscopes. She has investigated novel learning algorithms for pattern recognition, manifold learning, and intrinsic dimensionality estimation, to develop novel theories and automatic algorithms dealing with high-dimensional datasets characterized by a small cardinality (Small Sample Size Problem). In the past five years, she has been collaborating in cancer researches with the University of Milano-Bicocca and with Istituto nazionale dei Tumori to develop automatic systems for the analysis, quantification, and comparison of histochemical microscopic images.
J. Gliozzo, P. Perlasca, M. Mesiti, E. Casiraghi, V. Vallacchi, E. Vergani, M. Frasca, G. Grossi, A. Petrini, M. Re, A. Paccanaro and G. Valentini. Network modeling of patients’ biomolecular profiles for clinical phenotype/outcome prediction. Scientific Reports, Nature Publishing, 2020.
P. Perlasca, M. Frasca, C. Ba, M. Notaro, A. Petrini, E. Casiraghi, G. Grossi, J. Gliozzo, G. Valentini and M. Mesiti. UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. BMC Bioinformatics, BioMed Central 20(1), 2019.
A. Rozza, G. Lombardi, M. Re, E. Casiraghi, G. Valentini and P. Campadelli. A novel ensemble technique for protein subcellular location prediction. Ensembles in Machine Learning Applications, Springer, 2011.
A. Rozza, G. Lombardi, M. Re, E. Casiraghi and G. Valentini. DDAG K-TIPCAC: an ensemble method for protein subcellular localization. ECML SUEMA 2010 workshop: supervised and unsupervised ensemble methods and their applications, 2010.
P. Campadelli, E. Casiraghi and G. Valentini. Support vector machines for candidate nodules classification. Neurocomputing, Elsevier 68, 2005.
B. Barricelli, E. Casiraghi, J. Gliozzo, V. Huber, B. Leone, A. Rizzi and B. Vergani. ki67 nuclei detection and ki67-index estimation: a novel automatic approach based on human vision modeling. BMC Bioinformatics, Springer 20(1), 2019.
B. Barricelli, E. Casiraghi and D. Fogli. A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications. IEEE Access, IEEE 7, 2019.
E. Casiraghi, V. Huber, M. Frasca, M. Cossa, M. Tozzi, L. Rivoltini, B. Leone, A. Villa and B. Vergani. A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections. BMC Bioinformatics, BioMed Central 19(10), 2018.
F. Bredolo, A. Esposito, E. Casiraghi, G. Cornalba and P. Biondetti. Intestinal interposition: the prevalence and clinical relevance of non-hepatodiaphragmatic conditions (non-Chilaiditi forms) documented by CT and review of the literature. La radiologia medica, Springer 116(4), 2011.
P. Campadelli, E. Casiraghi and D. Artioli. A fully automated method for lung nodule detection from postero-anterior chest radiographs. IEEE transactions on medical imaging, IEEE 25(12), 2006.
P. Campadelli, E. Casiraghi and E. Esposito. Liver segmentation from ct scans: a survey and a new algorithm. Journal of Artificial Intelligence in Medicine, 2008.
P. Campadelli, E. Casiraghi, S. Pratissoli and G. Lombardi. Automatic abdominal organ segmentation from CT images. ELCVIA: electronic letters on computer vision and image analysis 8(1), 2009.
P. Campadelli, E. Casiraghi and S. Pratissoli. A segmentation framework for abdominal organs from CT scans. Artificial Intelligence in Medicine, Elsevier 50(1), 2010.
E. Casiraghi, M. Cossa, V. Huber, M. Tozzi, L. Rivoltini, A. Villa and B. Vergani. MIAQuant, a novel system for automatic segmentation, measurement, and localization comparison of different biomarkers from serialized histological slices. European journal of histochemistry: EJH, PAGEPress 61(4), 2017.
L. Cappelletti, T. Fontana, G. Donato, L. Tucci, E. Casiraghi and G. Valentini. Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling. Computers, Multidisciplinary Digital Publishing Institute 9(2), 2020.
C. Ba, E. Casiraghi, M. Frasca, J. Gliozzo, G. Grossi, M. Mesiti, M. Notaro, P. Perlasca, A. Petrini, M. Re and Others. A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018.
J. Gliozzo, P. Perlasca, M. Mesiti, E. Casiraghi, V. Vallacchi, E. Vergani, M. Frasca, G. Grossi, A. Petrini, M. Re and Others. Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction. Scientific reports, Nature Publishing Group 10(1), 2020.
L. Cappelletti, A. Petrini, J. Gliozzo, E. Casiraghi, M. Schubach, M. Kircher and G. Valentini. Bayesian optimization improves tissue-specific prediction of active regulatory regions with deep neural networks. International Work-Conference on Bioinformatics and Biomedical Engineering, 2020.