{"id":"https://openalex.org/W2155187682","doi":null,"title":"Good Features for Reliable Registration in Multi-Atlas Segmentation","display_name":"Good Features for Reliable Registration in Multi-Atlas Segmentation","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2155187682","mag":"2155187682"},"language":"en","primary_location":{"id":"pmh:oai:research.chalmers.se:217524","doi":null,"is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/217524","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5112556001","display_name":"Fredrik Kahl","orcid":"https://orcid.org/0000-0001-9835-3020","observed_orcids":["https://orcid.org/0000-0001-9835-3020"]},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fredrik Kahl","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045261569","display_name":"Jennifer Alv\u00e9n","orcid":"https://orcid.org/0000-0003-4195-9325","observed_orcids":["https://orcid.org/0000-0003-4195-9325"]},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jennifer Alv\u00e9n","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021720157","display_name":"Olof Enqvist","orcid":"https://orcid.org/0000-0002-7456-1009","observed_orcids":["https://orcid.org/0000-0002-7456-1009"]},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Olof Enqvist","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-7456-1009","affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043799082","display_name":"Frida Fejne","orcid":"https://orcid.org/0009-0004-6291-5617","observed_orcids":["https://orcid.org/0009-0004-6291-5617"]},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Frida Fejne","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102888841","display_name":"Johannes Ul\u00e9n","orcid":"https://orcid.org/0000-0003-1625-8367","observed_orcids":["https://orcid.org/0000-0003-1625-8367","https://orcid.org/0000-0002-1542-7774"]},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johannes Ul\u00e9n","raw_affiliation_strings":["Lund University, Lund, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-1625-8367","affiliations":[{"raw_affiliation_string":"Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Johan Fredriksson","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Fredriksson","raw_affiliation_strings":["Lund University, Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004550815","display_name":"Matilda Landgren","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Matilda Landgren","raw_affiliation_strings":["Lund University, Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056112272","display_name":"Viktor Larsson","orcid":"https://orcid.org/0000-0001-8427-7215","observed_orcids":["https://orcid.org/0000-0001-8427-7215"]},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Viktor Larsson","raw_affiliation_strings":["Lund University, Lund, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-8427-7215","affiliations":[{"raw_affiliation_string":"Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1235,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92119036,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"1390","issue":null,"first_page":"12","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":1.0,"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":1.0,"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":9.999999747378752e-05,"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/T11984","display_name":"Anatomy and Medical Technology","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-atlas-segmentation","display_name":"multi-atlas segmentation","score":0.9430000185966492},{"id":"https://openalex.org/keywords/feature-based-registration","display_name":"feature-based registration","score":0.7919999957084656},{"id":"https://openalex.org/keywords/whole-body-ct","display_name":"whole-body CT","score":0.8220000267028809},{"id":"https://openalex.org/keywords/multi-organ-segmentation","display_name":"multi-organ segmentation","score":0.949999988079071},{"id":"https://openalex.org/keywords/non-rigid-registration","display_name":"non-rigid registration","score":0.7519999742507935},{"id":"https://openalex.org/keywords/thin-plate-splines","display_name":"thin-plate splines","score":0.7910000085830688},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.796999990940094},{"id":"https://openalex.org/keywords/label-transfer","display_name":"label transfer","score":0.5479999780654907},{"id":"https://openalex.org/keywords/label-fusion","display_name":"label fusion","score":0.6539999842643738},{"id":"https://openalex.org/keywords/graph-cut-segmentation","display_name":"graph cut segmentation","score":0.8970000147819519},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.875}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7335027456283569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193449139595032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7011414766311646},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6983113288879395},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6983041763305664},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.6526750326156616},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.5973184108734131},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5821760296821594},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5166826248168945},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4929471015930176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45452064275741577},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.44316619634628296},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.43562716245651245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19404080510139465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11234620213508606},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:research.chalmers.se:217524","doi":null,"is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/217524","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2155187682","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1390/visceralISBI15-1.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"IEEE International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Symposium on Biomedical Imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.504800021648407,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W4357490","https://openalex.org/W370815677","https://openalex.org/W2000716207","https://openalex.org/W2058224795","https://openalex.org/W2058328643","https://openalex.org/W2078237160","https://openalex.org/W2096840836","https://openalex.org/W2115167851","https://openalex.org/W2148157540","https://openalex.org/W2746232387"],"related_works":["https://openalex.org/W2615034107","https://openalex.org/W2751645043","https://openalex.org/W7096517941","https://openalex.org/W2387037801","https://openalex.org/W370815677","https://openalex.org/W6997097722","https://openalex.org/W2296294727","https://openalex.org/W2592159570","https://openalex.org/W2049049535","https://openalex.org/W53653168"],"abstract_inverted_index":{"This":[0,66],"work":[1],"presents":[2],"a":[3,14,61,97,111,122,138],"method":[4],"for":[5,74,131],"multi-organ":[6],"segmentation":[7,155],"in":[8,52],"whole-body":[9],"CT":[10],"images":[11],"based":[12,35],"on":[13,36,154],"multi-atlas":[15,113],"approach.":[16],"A":[17],"robust":[18],"and":[19,70,82,118],"efficient":[20],"feature-based":[21],"registration":[22],"technique":[23,107],"is":[24,78,94,108],"developed":[25],"which":[26,77,126],"uses":[27],"sparse":[28],"organ":[29,42],"specific":[30],"features":[31],"that":[32],"are":[33,50],"learnt":[34],"their":[37],"ability":[38],"to":[39,54],"register":[40],"different":[41],"types":[43],"accurately.":[44],"The":[45,106],"best":[46],"fitted":[47],"feature":[48],"points":[49],"used":[51],"RANSAC":[53],"estimate":[55],"an":[56,68],"affine":[57],"transformation,":[58],"followed":[59,120],"by":[60,103,121],"thin":[62],"plate":[63],"spline":[64],"refinement.":[65],"yields":[67],"accurate":[69],"reliable":[71],"nonrigid":[72],"transformation":[73],"each":[75],"organ,":[76],"independent":[79],"of":[80,99,140],"initialization":[81],"hence":[83],"does":[84],"not":[85],"suffer":[86],"from":[87],"the":[88,100,128,132,141,146,149],"local":[89],"minima":[90],"problem.":[91],"Further,":[92],"this":[93],"accomplished":[95],"at":[96,148,156],"fraction":[98],"time":[101],"required":[102],"intensity-based":[104],"methods.":[105],"embedded":[109],"into":[110],"standard":[112],"framework":[114],"using":[115],"label":[116],"transfer":[117],"fusion,":[119],"random":[123],"forest":[124],"classifier":[125],"produces":[127],"data":[129],"term":[130],"final":[133],"graph":[134],"cut":[135],"segmentation.":[136],"For":[137],"majority":[139],"classes":[142],"our":[143],"approach":[144],"outperforms":[145],"competitors":[147],"VISCERAL":[150],"Anatomy":[151],"Grand":[152],"Challenge":[153],"ISBI":[157],"2015.":[158]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
