{"id":"https://openalex.org/W2163668292","doi":"https://doi.org/10.1109/isbi.2006.1624952","title":"A Mammogram Registration Technique Dealing with Outliers","display_name":"A Mammogram Registration Technique Dealing with Outliers","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W2163668292","doi":"https://doi.org/10.1109/isbi.2006.1624952","mag":"2163668292"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2006.1624952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2006.1624952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.","raw_type":"proceedings-article"},"type":"preprint","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/A5085957914","display_name":"Mohammed Hachama","orcid":"https://orcid.org/0000-0002-2441-5003"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"M. Hachama","raw_affiliation_strings":["MAP5, University Paris Descartes, UMR CNRS, France"],"affiliations":[{"raw_affiliation_string":"MAP5, University Paris Descartes, UMR CNRS, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590","https://openalex.org/I4387154995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039018205","display_name":"Fr\u00e9d\u00e9ric Richard","orcid":"https://orcid.org/0000-0001-5146-9894"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Richard","raw_affiliation_strings":["MAP5, University Paris Descartes, UMR CNRS, France"],"affiliations":[{"raw_affiliation_string":"MAP5, University Paris Descartes, UMR CNRS, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590","https://openalex.org/I4387154995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023943220","display_name":"Agn\u00e8s Desolneux","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Desolneux","raw_affiliation_strings":["MAP5, University Paris Descartes, UMR CNRS, France"],"affiliations":[{"raw_affiliation_string":"MAP5, University Paris Descartes, UMR CNRS, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590","https://openalex.org/I4387154995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085957914"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"],"apc_list":null,"apc_paid":null,"fwci":0.9483,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78301783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"458","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8626374006271362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.770046591758728},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7504090070724487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6318092942237854},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6217183470726013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5921201705932617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5428916811943054},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4994223117828369},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.45191627740859985},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43582791090011597},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3810121715068817},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06065341830253601}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8626374006271362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.770046591758728},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7504090070724487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318092942237854},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6217183470726013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5921201705932617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5428916811943054},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4994223117828369},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.45191627740859985},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43582791090011597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3810121715068817},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06065341830253601},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2006.1624952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2006.1624952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00259090v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00259090","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Symposium on Biomedical Imaging, ISBI'06, 2006, United States. pp.458-461","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1487028097","https://openalex.org/W1968782121","https://openalex.org/W2007153649","https://openalex.org/W2012712694","https://openalex.org/W2016258057","https://openalex.org/W2018450771","https://openalex.org/W2102849263","https://openalex.org/W2103792409","https://openalex.org/W2111768202","https://openalex.org/W2116453776","https://openalex.org/W2133584444","https://openalex.org/W2168602559","https://openalex.org/W2486686721","https://openalex.org/W2974959429","https://openalex.org/W3015387428"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,17,79],"present":[4],"a":[5,47],"new":[6],"method":[7,105],"for":[8],"registering":[9],"images":[10,96],"in":[11,46],"presence":[12],"of":[13,20,37,56,85,103],"abnormalities.":[14],"By":[15],"abnormalities,":[16],"mean":[18],"variations":[19,63],"image":[21,61],"intensity":[22],"which":[23,58],"are":[24],"due":[25],"to":[26,71,99,107],"pathologies":[27],"and":[28,67,97,106],"cannot":[29],"be":[30],"corrected":[31],"by":[32,50],"registration.":[33],"Our":[34],"approach":[35],"consists":[36],"characterizing":[38],"them":[39],"as":[40,54],"outliers.":[41],"This":[42],"characterization":[43],"is":[44],"obtained":[45],"Bayesian":[48],"framework,":[49],"defining":[51],"registration":[52],"constraints":[53],"mixtures":[55],"distributions":[57],"describe":[59],"statistically":[60],"gray-level":[62],"on":[64],"both":[65],"inlier":[66],"outlier":[68,73],"pixels.":[69],"Thanks":[70],"an":[72],"map":[74],"weighting":[75],"these":[76],"mixture":[77],"distributions,":[78],"can":[80],"also":[81],"take":[82],"proper":[83],"advantage":[84],"some":[86,111],"prior":[87],"knowledge":[88],"about":[89],"the":[90,101,104],"lesion":[91],"location.":[92],"We":[93],"use":[94],"synthetic":[95],"mammograms":[98],"illustrate":[100],"properties":[102],"compare":[108],"it":[109],"with":[110],"classical":[112],"ones":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
