{"id":"https://openalex.org/W2402351750","doi":"https://doi.org/10.1109/icassp.2016.7471815","title":"A unified framework for atlas-based segmentation with forward deformation and label refinement","display_name":"A unified framework for atlas-based segmentation with forward deformation and label refinement","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2402351750","doi":"https://doi.org/10.1109/icassp.2016.7471815","mag":"2402351750"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5003409838","display_name":"Siqi Bao","orcid":"https://orcid.org/0000-0003-3885-125X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Siqi Bao","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028163457","display_name":"Albert C. S. Chung","orcid":"https://orcid.org/0000-0003-4400-9261"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Albert C. S. Chung","raw_affiliation_strings":["Hong Kong University of Science and Technology, Kowloon, HK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Kowloon, HK","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03654884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7766","issue":null,"first_page":"947","last_page":"951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9969000220298767,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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/atlas","display_name":"Atlas (anatomy)","score":0.7717860341072083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6943228840827942},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6881799101829529},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5902658700942993},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.543159544467926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5390796661376953},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.4843110144138336},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4269932508468628},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.405492901802063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40068936347961426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3971979022026062},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3911656439304352},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2010771632194519},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18775582313537598}],"concepts":[{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.7717860341072083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6943228840827942},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6881799101829529},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5902658700942993},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.543159544467926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5390796661376953},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.4843110144138336},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4269932508468628},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.405492901802063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40068936347961426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3971979022026062},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3911656439304352},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2010771632194519},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18775582313537598},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2016.7471815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-79169","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-79169","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-79169","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000388373401017","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W185353810","https://openalex.org/W204365527","https://openalex.org/W1970928383","https://openalex.org/W1998710995","https://openalex.org/W2001666669","https://openalex.org/W2072881861","https://openalex.org/W2102099319","https://openalex.org/W2118961645","https://openalex.org/W2136145485","https://openalex.org/W2140126939","https://openalex.org/W2143516773","https://openalex.org/W2157675930","https://openalex.org/W2164918853","https://openalex.org/W2165232124","https://openalex.org/W6999658242"],"related_works":["https://openalex.org/W2011187995","https://openalex.org/W2364370872","https://openalex.org/W4233585817","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2188882668","https://openalex.org/W2086619084","https://openalex.org/W2004379491","https://openalex.org/W1998269854","https://openalex.org/W2083140487"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,74],"novel":[4],"unified":[5],"framework":[6],"for":[7],"atlas-based":[8],"segmentation":[9],"is":[10,30],"proposed,":[11],"consisting":[12],"of":[13],"two":[14,121],"main":[15],"components:":[16],"forward":[17,36,99],"deformation":[18,37,100],"and":[19,54,81,126],"label":[20,75,82,106],"refinement.":[21],"A":[22],"newly":[23],"designed":[24],"distance":[25,46],"constraint":[26,112],"on":[27,39,120],"mesh":[28],"edges":[29],"enforced":[31],"with":[32,138],"contrast":[33],"sensitivity":[34],"in":[35,51,98,105,116],"based":[38],"Markov":[40],"random":[41],"field.":[42],"With":[43],"the":[44,48,52,55,64,86,90,94,108],"edge":[45],"constraint,":[47],"object":[49],"shapes":[50],"atlas":[53],"target":[56],"images":[57],"can":[58,101,113,132],"remain":[59],"similar":[60],"during":[61],"deformation.":[62],"Considering":[63],"shape":[65],"variations":[66,88],"caused":[67],"by":[68],"individual":[69],"difference,":[70],"we":[71],"then":[72],"develop":[73],"refinement":[76],"process":[77],"embracing":[78],"patch":[79],"registration":[80],"fusion":[83],"to":[84],"compensate":[85],"small":[87],"around":[89],"structural":[91],"surfaces.":[92],"As":[93],"anatomical":[95],"correspondences":[96],"determined":[97],"differ":[102],"from":[103],"that":[104,129],"refinement,":[107],"conventional":[109],"one-to-one":[110],"correspondence":[111],"be":[114],"relaxed":[115],"our":[117,130],"framework.":[118],"Experiments":[119],"publicly":[122],"available":[123],"databases":[124],"IBSR":[125],"LPBA40":[127],"demonstrate":[128],"method":[131],"obtain":[133],"better":[134],"performance":[135],"as":[136],"compared":[137],"other":[139],"state-of-the-art":[140],"methods.":[141]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
