{"id":"https://openalex.org/W4402727208","doi":"https://doi.org/10.1109/cvpr52733.2024.00390","title":"Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation","display_name":"Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402727208","doi":"https://doi.org/10.1109/cvpr52733.2024.00390"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.00390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5113197066","display_name":"Hanyang Chi","orcid":"https://orcid.org/0009-0005-8780-278X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanyang Chi","raw_affiliation_strings":["China University of Petroleum (East China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085361118","display_name":"Jian Pang","orcid":"https://orcid.org/0000-0002-6278-6294"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Pang","raw_affiliation_strings":["China University of Petroleum (East China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007047764","display_name":"Bingfeng Zhang","orcid":"https://orcid.org/0000-0001-5751-2873"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingfeng Zhang","raw_affiliation_strings":["China University of Petroleum (East China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100444161","display_name":"Weifeng Liu","orcid":"https://orcid.org/0000-0002-7798-797X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Liu","raw_affiliation_strings":["China University of Petroleum (East China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113197066"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":16.3438,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.99538929,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4070","last_page":"4080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6695576906204224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6618930101394653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6573246717453003},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6526304483413696},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.5866111516952515},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5485700368881226},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.45846495032310486},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44584453105926514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3592242896556854}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6695576906204224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6618930101394653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6573246717453003},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6526304483413696},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.5866111516952515},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5485700368881226},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.45846495032310486},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44584453105926514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3592242896556854},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.00390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1456278038","display_name":null,"funder_award_id":"62301613","funder_id":"https://openalex.org/F4320320885","funder_display_name":"European Research Consortium for Informatics and Mathematics"}],"funders":[{"id":"https://openalex.org/F4320320885","display_name":"European Research Consortium for Informatics and Mathematics","ror":"https://ror.org/055zrhj18"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1965555277","https://openalex.org/W2106033751","https://openalex.org/W2191637929","https://openalex.org/W2799142782","https://openalex.org/W2804047627","https://openalex.org/W2953070460","https://openalex.org/W2962914239","https://openalex.org/W2966415767","https://openalex.org/W2971013993","https://openalex.org/W2978426779","https://openalex.org/W2979733033","https://openalex.org/W3001197829","https://openalex.org/W3009561768","https://openalex.org/W3017324723","https://openalex.org/W3035680157","https://openalex.org/W3083779147","https://openalex.org/W3107695429","https://openalex.org/W3118629228","https://openalex.org/W3171581326","https://openalex.org/W3203046931","https://openalex.org/W3203488660","https://openalex.org/W3216055172","https://openalex.org/W4206759694","https://openalex.org/W4213423227","https://openalex.org/W4221162144","https://openalex.org/W4224920134","https://openalex.org/W4225895868","https://openalex.org/W4280631251","https://openalex.org/W4296119467","https://openalex.org/W4306647851","https://openalex.org/W4311777178","https://openalex.org/W4312310512","https://openalex.org/W4312429056","https://openalex.org/W4315927803","https://openalex.org/W4321524523","https://openalex.org/W4377715523","https://openalex.org/W4379384663","https://openalex.org/W4386065420","https://openalex.org/W4386071949","https://openalex.org/W4386075748","https://openalex.org/W4386075981","https://openalex.org/W4387225938","https://openalex.org/W4387415409","https://openalex.org/W4389827562","https://openalex.org/W4390873144","https://openalex.org/W6733814495","https://openalex.org/W6743360694","https://openalex.org/W6759792163","https://openalex.org/W6762913911","https://openalex.org/W6773005947","https://openalex.org/W6792147087","https://openalex.org/W6795435739","https://openalex.org/W6797084869","https://openalex.org/W6810755270","https://openalex.org/W6811401537"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"Consistency":[0],"learning":[1],"is":[2,51,128,162],"a":[3,35,80,121],"central":[4],"strategy":[5],"to":[6,20,53,71,92,111,115,141],"tackle":[7],"unlabeled":[8,90],"data":[9,91],"in":[10],"semi-supervised":[11],"medical":[12],"image":[13],"segmentation":[14],"(SSMIS),":[15],"which":[16,39,96,134],"enforces":[17],"the":[18,25,55,73,105,113,117,131],"model":[19,114,143],"produce":[21],"consistent":[22],"predictions":[23],"under":[24],"perturbation.":[26],"However,":[27],"most":[28],"current":[29],"approaches":[30],"solely":[31],"focus":[32],"on":[33,85],"utilizing":[34],"specific":[36],"single":[37],"perturbation,":[38],"can":[40,97],"only":[41],"cope":[42],"with":[43,125,137],"limited":[44],"cases,":[45],"while":[46],"employing":[47],"multiple":[48],"perturbations":[49],"simultaneously":[50],"hard":[52],"guarantee":[54],"quality":[56],"of":[57,107],"consistency":[58],"learning.":[59,144],"In":[60],"this":[61],"paper,":[62],"we":[63,77],"propose":[64],"an":[65],"Adaptive":[66],"Bidirectional":[67],"Displacement":[68],"(ABD)":[69],"approach":[70],"solve":[72],"above":[74],"challenge.":[75],"Specifically,":[76],"first":[78],"design":[79],"bidirectional":[81,122],"patch":[82],"displacement":[83,123],"based":[84],"reliable":[86],"prediction":[87],"confidence":[88,127],"for":[89,130,154],"generate":[93],"new":[94,151],"samples,":[95],"effectively":[98],"suppress":[99],"uncontrollable":[100,119],"regions":[101],"and":[102],"still":[103],"retain":[104],"influence":[106],"input":[108],"perturbations.":[109],"Meanwhile,":[110],"enforce":[112],"learn":[116],"potentially":[118],"content,":[120],"operation":[124],"inverse":[126],"proposed":[129],"labeled":[132],"images,":[133],"generates":[135],"samples":[136],"more":[138],"unreliable":[139],"information":[140],"facilitate":[142],"Extensive":[145],"experiments":[146],"show":[147],"that":[148],"ABD":[149],"achieves":[150],"state-of-the-art":[152],"performances":[153],"SSMIS,":[155],"significantly":[156],"improving":[157],"different":[158],"base-lines.":[159],"Source":[160],"code":[161],"available":[163],"at":[164],"https://github.com/chy-upclABD.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":48},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}