{"id":"https://openalex.org/W746158281","doi":"https://doi.org/10.54294/fgfrtv","title":"Camino: Diffusion MRI reconstruction and processing","display_name":"Camino: Diffusion MRI reconstruction and processing","publication_year":2005,"publication_date":"2005-08-05","ids":{"openalex":"https://openalex.org/W746158281","doi":"https://doi.org/10.54294/fgfrtv","mag":"746158281"},"language":"en","primary_location":{"id":"doi:10.54294/fgfrtv","doi":"https://doi.org/10.54294/fgfrtv","is_oa":true,"landing_page_url":"https://doi.org/10.54294/fgfrtv","pdf_url":null,"source":{"id":"https://openalex.org/S108741363","display_name":"The Insight Journal","issn_l":"2327-770X","issn":["2327-770X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Insight Journal","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.54294/fgfrtv","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015338409","display_name":"Philip A. Cook","orcid":"https://orcid.org/0000-0002-1985-8475","observed_orcids":["https://orcid.org/0000-0002-1985-8475"]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip Cook","raw_affiliation_strings":["University college London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University college London","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu Bai","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Bai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027461916","display_name":"Matt G. Hall","orcid":"https://orcid.org/0000-0002-9530-5477","observed_orcids":["https://orcid.org/0000-0002-9530-5477"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matt G Hall","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031710540","display_name":"Shahrum Nedjati-Gilani","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shahrum Nedjati-Gilani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026470099","display_name":"Kiran K. Seunarine","orcid":"https://orcid.org/0000-0002-2467-7716","observed_orcids":["https://orcid.org/0000-0002-2467-7716"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiran K Seunarine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033449704","display_name":"Daniel C. Alexander","orcid":"https://orcid.org/0000-0003-2439-350X","observed_orcids":["https://orcid.org/0000-0003-2439-350X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel C Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7629,"has_fulltext":false,"cited_by_count":203,"citation_normalized_percentile":{"value":0.71853837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"diffusion MRI","score":0.9710000157356262},{"id":"https://openalex.org/keywords/diffusion-mri-reconstruction","display_name":"diffusion MRI reconstruction","score":0.765999972820282},{"id":"https://openalex.org/keywords/data-pipelines","display_name":"data pipelines","score":0.781000018119812},{"id":"https://openalex.org/keywords/open-source-software","display_name":"open source software","score":0.7089999914169312},{"id":"https://openalex.org/keywords/object-oriented-software","display_name":"object-oriented software","score":0.781000018119812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528700232505798},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7295414209365845},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7073827981948853},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5982851386070251},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4972670376300812},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3731427490711212},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3544260859489441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35368627309799194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34528636932373047},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3266417980194092},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1584618091583252},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15133816003799438}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.54294/fgfrtv","doi":"https://doi.org/10.54294/fgfrtv","is_oa":true,"landing_page_url":"https://doi.org/10.54294/fgfrtv","pdf_url":null,"source":{"id":"https://openalex.org/S108741363","display_name":"The Insight Journal","issn_l":"2327-770X","issn":["2327-770X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Insight Journal","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:181595","doi":null,"is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/181595/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Aylward, S and Ibanez, L and Kapur, T, (eds.) (2005)","raw_type":"Proceedings paper"},{"id":"mag:746158281","doi":null,"is_oa":false,"landing_page_url":"https://dissem.in/p/8176569/camino-diffusion-mri-reconstruction-and-processing","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.54294/fgfrtv","doi":"https://doi.org/10.54294/fgfrtv","is_oa":true,"landing_page_url":"https://doi.org/10.54294/fgfrtv","pdf_url":null,"source":{"id":"https://openalex.org/S108741363","display_name":"The Insight Journal","issn_l":"2327-770X","issn":["2327-770X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Insight Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W16927157","https://openalex.org/W1494927519","https://openalex.org/W1964802316","https://openalex.org/W1984216864","https://openalex.org/W1988954604","https://openalex.org/W1994717572","https://openalex.org/W2032936392","https://openalex.org/W2034252184","https://openalex.org/W2085297965","https://openalex.org/W2105034316","https://openalex.org/W2113622533","https://openalex.org/W2116136260","https://openalex.org/W2139158372","https://openalex.org/W2149337534","https://openalex.org/W2150798834","https://openalex.org/W2161119653"],"related_works":["https://openalex.org/W2323580262","https://openalex.org/W2154600934","https://openalex.org/W2625270121","https://openalex.org/W2303842423","https://openalex.org/W7018182002","https://openalex.org/W2737386976","https://openalex.org/W4393368686","https://openalex.org/W7099670161","https://openalex.org/W4405194552","https://openalex.org/W4388867697"],"abstract_inverted_index":{"Camino":[0,12,35,61],"is":[1],"an":[2],"open-source,":[3],"object-oriented":[4],"software":[5],"package":[6],"for":[7,20],"processing":[8,16],"diffusion":[9],"MRI":[10],"data.":[11],"implements":[13],"a":[14],"data":[15,45],"pipeline,":[17],"which":[18],"allows":[19],"easy":[21],"scripting":[22],"and":[23,52],"flexible":[24],"integration":[25],"with":[26],"other":[27],"software.":[28],"This":[29],"paper":[30,55,64],"summarises":[31],"the":[32,40,43,47,58,63],"features":[33],"of":[34,39,60,71],"at":[36,75],"each":[37],"stage":[38],"pipeline":[41],"from":[42],"raw":[44],"to":[46,68],"statistics":[48],"used":[49],"by":[50],"clinicians":[51],"researchers.":[53],"The":[54],"also":[56],"discusses":[57],"role":[59],"in":[62],"\u201cAn":[65],"Automated":[66],"Approach":[67],"Connectivity-based":[69],"Partitioning":[70],"Brain":[72],"Structures\u201d,":[73],"published":[74],"MICCAI":[76],"2005.":[77]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":30},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":5}],"updated_date":"2026-10-20T09:52:01.089006","created_date":"2016-06-24T00:00:00"}
