In the field of neuroscience, a central focus is on examining the anatomical and functional organization of the cerebral cortex, particularly in humans and primates. In order to gather a deep understanding, data coming from non-invasive imaging techniques, such as PET, fMRI, and dMRI, is often combined with data coming from invasive experimental procedures capable of providing morphological, anatomical, and electrophysiological information. While non-invasive whole-brain imaging offers 3D information at a macro-scale, invasive procedures involve small-scale analysis of multiple 2D images or of 3D reconstructions obtained from slices.
\n\u00a0
\nThe project aims to introduce novel visual and data-intensive methods to enhance the understanding of data from such studies. Addressing key aspects in the analysis of neural data, the focus will be on novel methods for multi-layered visualization and manipulation of sets of possibly annotated 2D slices, with special emphasis on data stemming from the analysis of brain sections, and on novel methods for exploring fused 3D brain data at multiple scales, primarily concentrating on the combination of registered multi-labeled neurons, segmented cortical surfaces, and massive tractograms.
\n\u00a0
\nThe project is developed in collaboration with Spoke 1 (University of Parma) of the MNESYS Extended Partnership focused on Neuroscience and Neuropharmacology.<\/p>\n","protected":false},"featured_media":11025,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-12717","projects","type-projects","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"title":"Creation and exploration of multifaceted neuroanatomical brain models","acronym":"XNAB","project_uuid":"00fb1854-0b8c-11ef-8ceb-506b8da9258c","start_date":"10\/04\/2024","end_date":"09\/04\/2025","funder":"MUR PNRR M4C2 - Investimento 1.3 - Avviso Partenariati Estesi MNESYS","partners":"\n
| Nome<\/th>\n | Nazione<\/th>\n | Ruolo<\/th>\n <\/tr>\n\n |
|---|---|---|
| Universit\u00e0 degli Studi di Parma<\/a><\/td>\n | Italy<\/td>\n | Coordinator<\/td>\n <\/tr>\n<\/table>","proj_website":"https:\/\/mnesys.eu\/","project_status":"Completed","project_coordinator":[{"ID":10233,"post_author":"4","post_date":"2025-06-30 17:23:13","post_date_gmt":"2025-06-30 15:23:13","post_content":"Enrico Gobbetti is the director of Visual and Data-intensive Computing (ViDiC) at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Italy. He holds an Engineering degree (1989) and a Ph.D. degree (1993) in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), as well as Full Professor Habilitations in Computer Science and Information Processing from the Italian Ministry of University and Research. Prior to joining CRS4, he held research and\/or teaching positions at the Swiss Federal Institute of Technology in Lausanne, the University of Maryland Baltimore County (UMBC), Baltimore MD, USA, and the Center of Excellence in Space Data and Information Sciences (NASA\/CESDIS), NASA Goddard Space Flight Center, Greenbelt MD, USA. At CRS4, Enrico develops and manages a research program in visual and data-intensive computing supported through institutional, industrial and government grants, including many national and international projects. His research spans many areas of visual and data-intensive computing and is widely published in major journals and conferences. The primary focus is the study and creation of innovative, intelligent, and scalable solutions for acquiring, creating, processing, distributing, exploring, and analyzing complex and\/or massive datasets derived from simulations or measurements of phenomena, objects, environments, or real-world processes. He regularly serves the scientific community through participation in editorial boards, program committees, working groups and steering boards, as well as through the organization and chairing of conferences. He is a Fellow of Eurographics.","post_title":"Enrico Gobbetti","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"enrico-gobbetti","to_ping":"","pinged":"","post_modified":"2026-04-12 20:11:20","post_modified_gmt":"2026-04-12 18:11:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/enrico-gobbetti\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10141,"post_author":"4","post_date":"2025-06-30 17:22:03","post_date_gmt":"2025-06-30 15:22:03","post_content":"Fabio Bettio is an electronics engineer, software developer, and technologist specializing in visual computing and scientific visualization. He has strong expertise in GPU-accelerated and web-based rendering, with a solid background in C++, OpenGL\/WebGL, GLSL, and WebXR development. He is a contributor to OpenLIME, an open-source platform for interactive visualization and relightable model rendering in scientific and cultural heritage contexts. In addition to software development, he has extensive experience as a Linux system and HPC cluster administrator. He has developed tools for system and UPS monitoring, implemented automated backup solutions, and manages web infrastructures based on CMSs for research initiatives and international conferences such as Eurographics and EuroVis. His scientific contributions have been published in top-tier journals such as ACM Journal on Computing and Cultural Heritage (JOCCH), Computers & Graphics, IEEE Transactions on Visualization and Computer Graphics (TVCG), and Solar Energy. His work has also been presented at renowned international conferences, including Eurographics, EuroVis, ISMAR, and Digital Heritage.","post_title":"Fabio Bettio","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"fabio-bettio","to_ping":"","pinged":"","post_modified":"2026-04-12 20:10:11","post_modified_gmt":"2026-04-12 18:10:11","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/fabio-bettio\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":10226,"post_author":"4","post_date":"2025-06-30 17:23:05","post_date_gmt":"2025-06-30 15:23:05","post_content":"Francesca coordinates the digital health research activities on the Visual and Data-intensive Computing Sector at CRS4 (prev. Research Programs Digital Health\/Healthcare Flows). Her research activity spans the opportunities and problems arising from the application of computer science to medicine, working on interoperability, traceability, telemedicine and modelling of data and processes in the clinical context. In her 20 years of research experience she has cultivated ongoing collaborations with public and private organisations, including research institutions, hospitals and industries operating in the health IT sector, with particular attention to the direct application of research results in clinical practice. She holds a Ph.D. in Innovation Sciences and Technologies from the University of Cagliari and a degree in Biomedical Engineering from the University of Genoa. Her present research interests are mainly focused on the modelling of biomedical data and processes, with a particular attention to interoperability and traceability, also in the perspective of the application of the FAIR Principles. In particular, she is currently working: on an integration profile about specimen tracking (SET profile), with the IHE PaLM Technical committee; on the modelling of genetic data through the openEHR formalism, with openEHR International; and a standard under development about provenance information in the biotechnology domain (Standard ISO 23494, ISO Technical Committee 276), with BBMRI-ERIC, the European research infrastructure for biobanking.","post_title":"Francesca Frexia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"francesca-frexia","to_ping":"","pinged":"","post_modified":"2026-04-12 20:11:12","post_modified_gmt":"2026-04-12 18:11:12","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/francesca-frexia\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10283,"post_author":"4","post_date":"2025-06-30 17:24:15","post_date_gmt":"2025-06-30 15:24:15","post_content":"Fabio Marton is a researcher in the Visual Computing (ViC) group at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4). He holds a Laurea (M. Sc.) degree (1999) in Computer Engineering from the University of Padova. His current research interests include out-of-core data processing, compression multiresolution modeling and time-critical rendering. He has participated as a key developer in industrial and research projects that have led to the development of state-of-the-art tools for large scale model rendering. He has co-authored papers in major international refereed journals and conferences, including SIGGRAPH, Eurographics, and IEEE Visualization. He has been EGPGV (Eurographics Symposium on Parallel Graphics) symposium chair (Cagliari, 2012) and paper co-chair (Girona, 2013). He is IPC member for Web3D from 2011. He serves as reviewer for international computer graphics journals and conferences. Before joining CRS4, he worked on 3D scanning at LMTT Padova and Optonet Brescia.","post_title":"Fabio Marton","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"fabio-marton","to_ping":"","pinged":"","post_modified":"2026-04-12 20:12:10","post_modified_gmt":"2026-04-12 18:12:10","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/fabio-marton\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10208,"post_author":"4","post_date":"2025-06-30 17:22:43","post_date_gmt":"2025-06-30 15:22:43","post_content":"Mauro Del Rio received the M.Sc. degree in Electronic Engineering from the University of Cagliari in 2005. In 2006 he joined the Digital Media Applications group at CRS4. Here he took part to the development of tools and applications for managing multimedia files. Since 2013 he has been working with the Digital Health group. He deals with Telemedicine and distributed computing of clinical data.","post_title":"Mauro Del Rio","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"mauro-del-rio","to_ping":"","pinged":"","post_modified":"2026-04-12 20:10:52","post_modified_gmt":"2026-04-12 18:10:52","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/mauro-del-rio\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10259,"post_author":"4","post_date":"2025-06-30 17:23:44","post_date_gmt":"2025-06-30 15:23:44","post_content":"After graduating in Computer Science at the University of Cagliari in 2006, he joined the Digital Health group of CRS4, directing his research activity to the application of ICT in the clinical and biomedical fields, mainly in the areas of telemedicine, interoperability between clinical systems and creation of systems for the treatment of large amounts of biomedical data. His current research interests are focused on the management of complex and heterogeneous clinical data with open standard formats (such as openEHR and HL7-FHIR) and on Digital Pathology. In this area in particular, he has designed and implemented the CRS4 Digital Pathology platform to support diagnosis from digitized slides, collaborating with leading clinical institutions such as the Karolinska Institutet in Stockholm and the COREP consortium. The platform allows to handle, view and annotate scanned images, and it is the core of several use cases in the context of international research projects, focused on remote training (CyTest), clinical trials (ProMort Study) and Artificial Intelligence models' development from annotated images (DeepHealth).","post_title":"Luca Lianas","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-lianas","to_ping":"","pinged":"","post_modified":"2026-04-12 20:11:46","post_modified_gmt":"2026-04-12 18:11:46","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-lianas\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10285,"post_author":"4","post_date":"2025-06-30 17:24:17","post_date_gmt":"2025-06-30 15:24:17","post_content":"Cecilia Mascia got her master's degree in Biomedical Engineering in 2013 at the Polytechnic of Turin, with a thesis focused on the evaluation of a telemedicine system developed during an internship at the Digital Health group of the CRS4. In 2015 she collaborated with the Department of Mechanical, Chemical and Materials Engineering of the University of Cagliari in a research project on the analysis, modelling and re-engineering of processes related to the drug supply chain in a private hospital. She joined the DH group in 2014, mainly involved in clinical data modelling activities according to international specifications (openEHR, in particular, and HL7 CDA) for EHR interoperability purposes. She is currently working with the BBMRI-ERIC consortium to draft a proposal of a provenance information model for the biotechnology domain (ISO TC 276) and with the OpenEHR consortium for the definition of genomic data models.","post_title":"Cecilia Mascia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"cecilia-mascia","to_ping":"","pinged":"","post_modified":"2026-04-12 20:12:13","post_modified_gmt":"2026-04-12 18:12:13","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/cecilia-mascia\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\n |