{"id":"https://openalex.org/W2021371819","doi":"https://doi.org/10.1109/isbi.2012.6235606","title":"Retrospective local artefacts detection in diffusion-weighted images using the Random Sample Consensus (RANSAC) paradigm","display_name":"Retrospective local artefacts detection in diffusion-weighted images using the Random Sample Consensus (RANSAC) paradigm","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2021371819","doi":"https://doi.org/10.1109/isbi.2012.6235606","mag":"2021371819"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066921588","display_name":"Beno\u00eet Scherrer","orcid":"https://orcid.org/0000-0002-8798-8562"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benoit Scherrer","raw_affiliation_strings":["Computational Radiology Laboratory, Department of Radiology, Children's Hospital, Boston, MA, USA","Computational Radiology Laboratory, Department of Radiology, Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA"],"affiliations":[{"raw_affiliation_string":"Computational Radiology Laboratory, Department of Radiology, Children's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1288882113"]},{"raw_affiliation_string":"Computational Radiology Laboratory, Department of Radiology, Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA","institution_ids":["https://openalex.org/I1288882113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054913205","display_name":"Simon K. Warfield","orcid":"https://orcid.org/0000-0002-7659-3880"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon K. Warfield","raw_affiliation_strings":["Computational Radiology Laboratory, Department of Radiology, Children's Hospital, Boston, MA, USA","Computational Radiology Laboratory, Department of Radiology, Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA"],"affiliations":[{"raw_affiliation_string":"Computational Radiology Laboratory, Department of Radiology, Children's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1288882113"]},{"raw_affiliation_string":"Computational Radiology Laboratory, Department of Radiology, Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA","institution_ids":["https://openalex.org/I1288882113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066921588"],"corresponding_institution_ids":["https://openalex.org/I1288882113"],"apc_list":null,"apc_paid":null,"fwci":0.2426,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61062796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"546","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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":1.0,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9959999918937683,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9943000078201294,"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/ransac","display_name":"RANSAC","score":0.9685611724853516},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7322838306427002},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.7095417976379395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6293573379516602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6125346422195435},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.478198766708374},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47461003065109253},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4630371034145355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42648836970329285},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4230024516582489},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32904762029647827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32162395119667053},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.1451846957206726},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13510194420814514},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08285048604011536}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.9685611724853516},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7322838306427002},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.7095417976379395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6293573379516602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6125346422195435},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.478198766708374},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47461003065109253},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4630371034145355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42648836970329285},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4230024516582489},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32904762029647827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32162395119667053},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.1451846957206726},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13510194420814514},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08285048604011536},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2012.6235606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1973236375","https://openalex.org/W2085261163","https://openalex.org/W2094682431","https://openalex.org/W2105034316","https://openalex.org/W2115044257","https://openalex.org/W2124525546"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W2981196697","https://openalex.org/W3083084699","https://openalex.org/W3012182724","https://openalex.org/W1988708904","https://openalex.org/W2091196744","https://openalex.org/W2039208430"],"abstract_inverted_index":{"Robust":[0],"estimation":[1,39,57,100],"of":[2,7,15,40,101],"diffusion":[3,21,41,104],"models":[4,105],"in":[5,20,43],"presence":[6],"local":[8,69],"artefacts":[9,59],"that":[10,53],"corrupt":[11],"only":[12,85,108],"a":[13,82],"subset":[14],"gradient":[16,88,110],"directions":[17,89,111],"is":[18],"essential":[19],"weighted":[22],"imaging":[23],"to":[24,58,73],"accurately":[25],"assess":[26],"the":[27,38,44,65,74,86,109,119],"brain":[28],"connectivity":[29],"and":[30,68],"white-matter":[31],"characteristics.":[32],"In":[33],"this":[34],"work":[35],"we":[36,51],"investigate":[37],"tensors":[42],"Random":[45],"Sample":[46],"Consensus":[47],"(RANSAC)":[48],"paradigm.":[49],"First,":[50],"show":[52],"it":[54,78],"enables":[55],"robust":[56,96],"such":[60],"as":[61,113],"patient":[62],"motion":[63],"during":[64],"images'":[66],"acquisition":[67],"signal":[70],"loss":[71],"due":[72],"vibration":[75],"artefact.":[76],"Second,":[77],"provides":[79],"us":[80],"with":[81],"set":[83],"containing":[84],"reliable":[87,114],"at":[90,115],"each":[91,116],"voxel.":[92],"This":[93],"may":[94],"enable":[95],"but":[97],"computationally":[98],"efficient":[99],"more":[102],"complicated":[103],"by":[106],"considering":[107],"identified":[112],"voxel":[117],"from":[118],"RANSAC":[120],"tensor":[121],"estimation.":[122]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}