{"id":"https://openalex.org/W2104128536","doi":"https://doi.org/10.1109/isbi.2006.1625053","title":"Bayesian Registration for Anatomical Landmark Detection","display_name":"Bayesian Registration for Anatomical Landmark Detection","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W2104128536","doi":"https://doi.org/10.1109/isbi.2006.1625053","mag":"2104128536"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2006.1625053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2006.1625053","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":"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/A5056405169","display_name":"Camille Izard","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I4210145948","display_name":"Laboratoire Paul Painlev\u00e9","ror":"https://ror.org/043n4fm24","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2279609970","https://openalex.org/I4210141950","https://openalex.org/I4210145948"]}],"countries":["FR","US"],"is_corresponding":true,"raw_author_name":"C. Izard","raw_affiliation_strings":["Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA","Laboratoire Paul Painlev\u00e9, Universit\u00e9 des Sciences et Techniques de Lille, Villeneuve d'Ascq, France"],"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Laboratoire Paul Painlev\u00e9, Universit\u00e9 des Sciences et Techniques de Lille, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I4210145948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036011059","display_name":"Bruno Jedynak","orcid":"https://orcid.org/0000-0002-0824-5745"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I4210145948","display_name":"Laboratoire Paul Painlev\u00e9","ror":"https://ror.org/043n4fm24","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2279609970","https://openalex.org/I4210141950","https://openalex.org/I4210145948"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"B. Jedynak","raw_affiliation_strings":["Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA","Laboratoire Paul Painlev\u00e9, Universit\u00e9 des Sciences et Techniques de Lille, Villeneuve d'Ascq, France"],"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Laboratoire Paul Painlev\u00e9, Universit\u00e9 des Sciences et Techniques de Lille, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I4210145948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056405169"],"corresponding_institution_ids":["https://openalex.org/I145311948","https://openalex.org/I4210145948"],"apc_list":null,"apc_paid":null,"fwci":0.6322,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70718688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"856","last_page":"859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.8804894685745239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8427338600158691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7905917167663574},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.7611314058303833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6923093199729919},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6826925277709961},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5446414947509766},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5086696743965149},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5034176707267761},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4805362820625305},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4327892065048218},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42339515686035156}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.8804894685745239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8427338600158691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7905917167663574},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7611314058303833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6923093199729919},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6826925277709961},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5446414947509766},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5086696743965149},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5034176707267761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4805362820625305},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4327892065048218},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42339515686035156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2006.1625053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2006.1625053","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:CiteSeerX.psu:10.1.1.135.7417","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.7417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.jhu.edu/~bruno/IzardJedynakISBI2006.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W161707881","https://openalex.org/W2006302620","https://openalex.org/W2049633694","https://openalex.org/W2064227838","https://openalex.org/W2064561427","https://openalex.org/W2134674187","https://openalex.org/W2319937903","https://openalex.org/W3127623214","https://openalex.org/W3129711340","https://openalex.org/W6679881620","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W1967071448","https://openalex.org/W2089006188","https://openalex.org/W1563182311","https://openalex.org/W2038239089","https://openalex.org/W138041562","https://openalex.org/W4312759412"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,10,25,44,88],"perform":[3,89],"medical":[4],"image":[5,22,76],"registration,":[6],"landmarks":[7],"are":[8],"used":[9],"settle":[11],"correspondences":[12],"between":[13],"images.":[14],"A":[15],"landmark":[16],"is":[17,34],"a":[18,26,35,49,63],"voxel":[19],"in":[20,29,69,84,101],"the":[21,30,60,75,78,85,94,98],"that":[23,41],"corresponds":[24],"well-defined":[27],"point":[28],"anatomy.":[31],"Manual":[32],"landmarking":[33,97],"difficult,":[36],"tedious":[37],"and":[38],"time-consuming":[39],"procedure":[40],"would":[42],"gain":[43],"be":[45],"automated.":[46],"We":[47,80],"propose":[48],"Bayesian":[50],"approach":[51],"for":[52,96],"automatic":[53],"landmarking.":[54],"Using":[55],"training":[56],"data,":[57],"we":[58],"learn":[59],"geometry":[61],"through":[62],"probabilistic":[64],"template.":[65,79],"Landmarking":[66],"consists":[67],"then":[68],"estimating":[70],"an":[71],"affine":[72],"transformation":[73],"mapping":[74],"onto":[77],"use":[81],"gradient":[82],"ascent":[83],"likelihood":[86],"function":[87],"this":[90],"task.":[91],"Experiments":[92],"validate":[93],"methodology":[95],"temporal":[99],"lobe":[100],"MR":[102],"brain":[103],"images":[104]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"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"}
