{ "access": { "embargo": { "active": false, "reason": null }, "files": "public", "record": "public", "status": "open" }, "created": "2022-10-30T14:53:48.010384+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "files": { "count": 1, "enabled": true, "entries": { "HSTAM2022_Nikola_Petrovic.pdf": { "checksum": "md5:c37da49b218120b4e94782ea2cbd74d4", "ext": "pdf", "id": "7bf9d147-4dd5-41e1-8d48-d4ce57051f66", "key": "HSTAM2022_Nikola_Petrovic.pdf", "metadata": null, "mimetype": "application/pdf", "size": 520059 } }, "order": [], "total_bytes": 520059 }, "id": "7265192", "is_draft": false, "is_published": true, "links": { "access": "https://zenodo.org/api/records/7265192/access", "access_links": "https://zenodo.org/api/records/7265192/access/links", "access_request": "https://zenodo.org/api/records/7265192/access/request", "access_users": "https://zenodo.org/api/records/7265192/access/users", "archive": "https://zenodo.org/api/records/7265192/files-archive", "archive_media": "https://zenodo.org/api/records/7265192/media-files-archive", "communities": "https://zenodo.org/api/records/7265192/communities", "communities-suggestions": "https://zenodo.org/api/records/7265192/communities-suggestions", "doi": "https://doi.org/10.5281/zenodo.7265192", "draft": "https://zenodo.org/api/records/7265192/draft", "files": "https://zenodo.org/api/records/7265192/files", "latest": "https://zenodo.org/api/records/7265192/versions/latest", "latest_html": "https://zenodo.org/records/7265192/latest", "media_files": "https://zenodo.org/api/records/7265192/media-files", "parent": "https://zenodo.org/api/records/7265191", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.7265191", "parent_html": "https://zenodo.org/records/7265191", "requests": "https://zenodo.org/api/records/7265192/requests", "reserve_doi": "https://zenodo.org/api/records/7265192/draft/pids/doi", "self": "https://zenodo.org/api/records/7265192", "self_doi": "https://zenodo.org/doi/10.5281/zenodo.7265192", "self_html": "https://zenodo.org/records/7265192", "self_iiif_manifest": "https://zenodo.org/api/iiif/record:7265192/manifest", "self_iiif_sequence": "https://zenodo.org/api/iiif/record:7265192/sequence/default", "versions": "https://zenodo.org/api/records/7265192/versions" }, "media_files": { "count": 0, "enabled": false, "entries": {}, "order": [], "total_bytes": 0 }, "metadata": { "creators": [ { "affiliations": [ { "name": "Unit of Medical Technology & Intelligent Information Systems Department of Materials Science & Engineering, University of Ioannina, Ioannina, Greece" } ], "person_or_org": { "family_name": "Nikola J. Petrovic", "name": "Nikola J. Petrovic", "type": "personal" } }, { "affiliations": [ { "name": "Unit of Medical Technology & Intelligent Information Systems Department of Materials Science & Engineering, University of Ioannina, Ioannina, Greece" } ], "person_or_org": { "family_name": "Vassiliki T. Potsika", "name": "Vassiliki T. Potsika", "type": "personal" } }, { "affiliations": [ { "name": "Unit of Medical Technology & Intelligent Information Systems Department of Materials Science & Engineering, University of Ioannina, Ioannina, Greece" } ], "person_or_org": { "family_name": "Mohammed A. AboArab", "name": "Mohammed A. AboArab", "type": "personal" } }, { "affiliations": [ { "name": "School of Medicine, National Kapodistrian University of Athens, Athens, Greece" } ], "person_or_org": { "family_name": "Maria Zacharopoulou", "name": "Maria Zacharopoulou", "type": "personal" } }, { "affiliations": [ { "name": "School of Medicine, National Kapodistrian University of Athens, Athens, Greece" } ], "person_or_org": { "family_name": "Linnea Tscheuschner", "name": "Linnea Tscheuschner", "type": "personal" } }, { "affiliations": [ { "name": "School of Medicine, National Kapodistrian University of Athens, Athens, Greece" } ], "person_or_org": { "family_name": "Achilleas Chatziioannou", "name": "Achilleas Chatziioannou", "type": "personal" } }, { "affiliations": [ { "name": "School of Medicine, National Kapodistrian University of Athens, Athens, Greece" } ], "person_or_org": { "family_name": "Fragsika Sigala", "name": "Fragsika Sigala", "type": "personal" } }, { "affiliations": [ { "name": "Unit of Medical Technology & Intelligent Information Systems Department of Materials Science & Engineering, University of Ioannina, Ioannina, Greece" } ], "person_or_org": { "family_name": "Dimitris I. Fotiadis", "name": "Dimitris I. Fotiadis", "type": "personal" } } ], "description": "
The aim of this work is the development of the system that performs importing, archiving, processing and display of angiographic image data as well as conversion into 3D models. The developed system has been divided into eight stages. The implementation of the system has been performed involving the data from an animal study and 9 patients with angiography images of abdomen, upper and lower part of the legs. The development of the system was performed in the Python programming language and was planned to be integrated with other programming libraries that provide other functionalities within the DECODE project. The used artery detection algorithms are based on semi-automatic and automatic algorithms based on conventional image filters as well as supervised/unsupervised machine learning approaches. The aim of this research is the development of a system that can perform three-dimensional reconstruction of peripheral arteries based on two-dimensional X-ray angiography images. The determination of the spatial points of the peripheral arteries is performed based on the pixel distance from the edge of the blood vessel, assuming that the blood vessel is cylindrical in shape. This method provides fast and simple results in the form of a mesh of a three-dimensional object, while providing the possibility for use on smaller data sets that lack images from other angles or from other forms of medical imaging such as Optical Coherence Tomography and Intravascular Ultrasound. The results depict significant potential for 3D artery reconstruction with limited data.
", "funding": [ { "award": { "acronym": "DECODE", "id": "00k4n6c32::956470", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/956470", "scheme": "url" } ], "number": "956470", "program": "H2020", "title": { "en": "Drug-coated balloon simulation and optimization system for the improved treatment of peripheral artery disease" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } } ], "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2022-08-26", "publisher": "Zenodo", "resource_type": { "id": "publication-conferencepaper", "title": { "de": "Konferenzbeitrag", "en": "Conference paper" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "Peripheral artery disease" }, { "subject": "Angiography" }, { "subject": "Image segmentation" }, { "subject": "Image reconstruction" } ], "title": "Tool for peripheral artery segmentation and reconstruction from angiography images" }, "parent": { "access": { "owned_by": { "user": 432404 } }, "communities": { "entries": [ { "access": { "member_policy": "open", "members_visibility": "restricted", "record_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": true }, "created": "2022-11-23T15:53:29.436323+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c", "links": {}, "metadata": { "curation_policy": "The EU Open Research Repository serves as a repository for research outputs (data, software, posters, presentations, publications, etc) which have been funded under an EU research funding programme such as Horizon Europe, Euratom or earlier Framework Programmes.
\nThe community is managed by CERN on behalf of the European Commission.
\nZenodo’s general policies and Terms of Use apply to all content.
\nThe EU Open Research Repository accepts all digital research objects which is a research output stemming from one of EU’s research and innovation funding programmes. The funding programmes currently include:
\nHorizon Europe (including ERC, MSCA), earlier Framework Programmes (eg Horizon 2020) as well as Euratom.
\nIn line with the principle as open as possible, as closed as necessary both public and restricted content is accepted. See note on how Zenodo handles restricted content.
\nEU programme beneficiaries are eligible to submit content to the community. The community supports three types of content submissions:
\nSubmission via an EU Project Community (through user interface or programmatic APIs).
\nSubmission directly to the EU Open Research Repository.
\nAutomated harvesting from existing Zenodo content.
\nA representative of an EU project may request an EU Project Community and invite other project participants as members of the community. The project community is linked to one or more European Commission grants. All records in the project community are automatically integrated into the EU Open Research Repository immediately upon acceptance into the project community.
\nAny user may submit a record directly to the EU Open Research Repository. The submission will be moderated by Zenodo staff for compliance with the minimal required metadata requirements and its correctness.
\nRecords found among Zenodo’s existing content will on a regular basis automatically be integrated if they are found to comply with the requirements. The submissions through this method are integrated into the EU Open Research Repository with delay in a fully automated way.
\nRecords in the EU Open Research Repository are required to comply with the following minimal metadata requirements:
\nVisibility: Both public and restricted (with or without embargo and/or access request)
\nResource types: All resource types.
\nLicenses: Public and embargoed records MUST specify a license.
\nFunding information: Records MUST specify at least one grant from the European Commission.
\nCreators: Creators SHOULD be identified with a persistent identifier (e.g. ORCID, GND, …), and affiliations SHOULD be identified with a persistent identifier (e.g. ROR, ISNI, …)
\nSubjects: Records SHOULD specify one or more fields of science from the European Science Vocabulary.
\nAll submissions will undergo automated curation checks for compliance with the policy. Submissions through project communities are reviewed by the project community. Submission directly to the EU Open Research Repository is reviewed by Zenodo staff.
\nCommunity curators may at any point edit metadata of the records in the community without notice through human or automated processing. The curators may at their sole discretion remove records from the community that are deemed not to comply with the content and curation policy or which are deemed of insufficient quality.
\nThe content and curation policy is subject to change by the community owner at any time and without notice, other than through updating this page.
", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom and earlier Framework Programmes.", "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
\nThe mission of the repository is to support the implementation of the EU's open science policy, providing a trusted and comprehensive space for researchers to share their research outputs such as data, software, reports, presentations, posters and more. The EU Open Research Repository simplifies the process of complying with open science requirements, ensuring that research outputs from Horizon Europe, Euratom, and earlier Framework Programmes are freely accessible, thereby accelerating scientific discovery and innovation.
\nThe EU Open Research Repository serves as a complementary platform to the Open Research Europe (ORE) publishing platform. Open Research Europe focuses on providing a publishing venue for peer-reviewed articles, ensuring that research meets rigorous academic standards. The EU Open Research Repository provides a space for all the other research outputs including data sets, software, posters, and presentations that are out of scope for ORE. This holistic approach enables researchers to not only publish their findings but also share the underlying data and materials that support their work, fostering transparency and reproducibility in the scientific process.
\nCurrently in its pilot phase and set to be fully operational during autumn 2024, the EU Open Research Repository is constantly evolving. Efforts are committed to integrating cutting-edge features, including automated curation checks and FAIR (Findable, Accessible, Interoperable, and Reusable) assistance, to further support the research community. The goal is to provide researchers with a simple goto solution for making their publicly funded research open and as FAIR as possible.
\nThe EU Open Research Repository is funded by the European Union under grant agreement no. 101122956(HORIZON-ZEN). For more information about the project see https://about.zenodo.org/projects/horizon-zen/.
", "title": "EU Open Research Repository (Pilot)", "type": { "id": "organization" }, "website": "https://research-and-innovation.ec.europa.eu" }, "revision_id": 16, "slug": "eu", "theme": { "brand": "horizon", "enabled": true, "style": { "font": { "family": "Arial, sans-serif", "size": "16px", "weight": 600 }, "mainHeaderBackgroundColor": "#FFFFFF", "primaryColor": "#004494", "primaryTextColor": "#FFFFFF", "secondaryColor": "#FFD617", "secondaryTextColor": "#000000", "tertiaryColor": "#e3eefd", "tertiaryTextColor": "#1c5694" } }, "updated": "2024-03-20T06:47:47.577483+00:00" } ], "ids": [ "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c" ] }, "id": "7265191", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.7265191", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.7265192", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:7265192", "provider": "oai" } }, "revision_id": 2, "stats": { "all_versions": { "data_volume": 84249558.0, "downloads": 162, "unique_downloads": 142, "unique_views": 168, "views": 203 }, "this_version": { "data_volume": 83729499.0, "downloads": 161, "unique_downloads": 141, "unique_views": 164, "views": 199 } }, "status": "published", "updated": "2022-10-31T02:26:24.817771+00:00", "versions": { "index": 1, "is_latest": true } }