{"id":"https://openalex.org/W4205151124","doi":"https://doi.org/10.1109/tmi.2021.3139637","title":"External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data","display_name":"External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data","publication_year":2021,"publication_date":"2021-12-30","ids":{"openalex":"https://openalex.org/W4205151124","doi":"https://doi.org/10.1109/tmi.2021.3139637","pmid":"https://pubmed.ncbi.nlm.nih.gov/34968179"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3139637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3139637","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2201.00942","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuyin Zhou","orcid":"https://orcid.org/0000-0003-2232-9563"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuyin Zhou","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2232-9563","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":null,"display_name":"David Dreizin","orcid":"https://orcid.org/0000-0002-0176-0912"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Dreizin","raw_affiliation_strings":["Department of Radiology, R Adams Cowley Shock Trauma Center, University of Maryland at Baltimore, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-0176-0912","affiliations":[{"raw_affiliation_string":"Department of Radiology, R Adams Cowley Shock Trauma Center, University of Maryland at Baltimore, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-7865-9580"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7865-9580","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fengze Liu","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fengze Liu","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Shen","orcid":"https://orcid.org/0000-0002-1235-598X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shen","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1235-598X","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":null,"display_name":"Alan L. Yuille","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan L. Yuille","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8482,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94633032,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"41","issue":"6","first_page":"1346","last_page":"1357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11267","display_name":"Abdominal Trauma and Injuries","score":0.54830002784729,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11267","display_name":"Abdominal Trauma and Injuries","score":0.54830002784729,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11467","display_name":"Trauma and Emergency Care Studies","score":0.046300001442432404,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11951","display_name":"Trauma Management and Diagnosis","score":0.03909999877214432,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6527000069618225},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.54339998960495},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43140000104904175},{"id":"https://openalex.org/keywords/blunt","display_name":"Blunt","score":0.35830000042915344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3278000056743622},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.3199000060558319},{"id":"https://openalex.org/keywords/splenic-artery","display_name":"Splenic artery","score":0.2851000130176544}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6527000069618225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297000050544739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5462999939918518},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.54339998960495},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4830000102519989},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43140000104904175},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3756999969482422},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37549999356269836},{"id":"https://openalex.org/C105698618","wikidata":"https://www.wikidata.org/wiki/Q886371","display_name":"Blunt","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C2780333324","wikidata":"https://www.wikidata.org/wiki/Q707326","display_name":"Splenic artery","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.25540000200271606}],"mesh":[{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013154","descriptor_name":"Spleen","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013154","descriptor_name":"Spleen","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013154","descriptor_name":"Spleen","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057772","descriptor_name":"Vascular System Injuries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057772","descriptor_name":"Vascular System Injuries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057772","descriptor_name":"Vascular System Injuries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2021.3139637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3139637","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:34968179","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34968179","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:2201.00942","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.00942","pdf_url":"https://arxiv.org/pdf/2201.00942","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9167782","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9167782","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2201.00942","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.00942","pdf_url":"https://arxiv.org/pdf/2201.00942","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4012617424","display_name":null,"funder_award_id":"K08 EB027141","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G6548681641","display_name":null,"funder_award_id":"NIH K08 EB027141-01A1","funder_id":"https://openalex.org/F4320306080","funder_display_name":"Foundation for the National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306080","display_name":"Foundation for the National Institutes of Health","ror":"https://ror.org/00k86s890"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1884191083","https://openalex.org/W1901129140","https://openalex.org/W1994836385","https://openalex.org/W2015621782","https://openalex.org/W2016974693","https://openalex.org/W2026029510","https://openalex.org/W2139805423","https://openalex.org/W2301358467","https://openalex.org/W2343172899","https://openalex.org/W2412782625","https://openalex.org/W2464708700","https://openalex.org/W2469107318","https://openalex.org/W2618237340","https://openalex.org/W2621772268","https://openalex.org/W2705158815","https://openalex.org/W2751665805","https://openalex.org/W2771252144","https://openalex.org/W2787091153","https://openalex.org/W2888358068","https://openalex.org/W2900237898","https://openalex.org/W2921629474","https://openalex.org/W2941137223","https://openalex.org/W2962793481","https://openalex.org/W2962914239","https://openalex.org/W2963091558","https://openalex.org/W2963683723","https://openalex.org/W2963942157","https://openalex.org/W2963942586","https://openalex.org/W2964950992","https://openalex.org/W2971013993","https://openalex.org/W2979447087","https://openalex.org/W2979458288","https://openalex.org/W2979744002","https://openalex.org/W2979907638","https://openalex.org/W2984306354","https://openalex.org/W3014453037","https://openalex.org/W3014974815","https://openalex.org/W3024371423","https://openalex.org/W3024821730","https://openalex.org/W3031840474","https://openalex.org/W3031923721","https://openalex.org/W3035160371","https://openalex.org/W3035161717","https://openalex.org/W3035367255","https://openalex.org/W3037260676","https://openalex.org/W3046356831","https://openalex.org/W3092540957","https://openalex.org/W3093193808","https://openalex.org/W3108112547","https://openalex.org/W3127107873","https://openalex.org/W6755837410","https://openalex.org/W6759274242","https://openalex.org/W6767689999","https://openalex.org/W6772577720","https://openalex.org/W6779944350","https://openalex.org/W6782632949"],"related_works":[],"abstract_inverted_index":{"The":[0,15],"spleen":[1],"is":[2,47,72],"one":[3,121],"of":[4,17,43,100,145,211],"the":[5,50,120,135,143,150,168,174,201],"most":[6],"commonly":[7],"injured":[8],"solid":[9],"organs":[10],"in":[11,61,96,209],"blunt":[12],"abdominal":[13],"trauma.":[14],"development":[16],"automatic":[18],"segmentation":[19,42,144],"systems":[20],"from":[21,82],"multi-phase":[22,110],"CT":[23],"for":[24,32,49,109,141,166],"splenic":[25,44,111,132,146],"vascular":[26,45,55,112,147],"injury":[27,46,56,113],"can":[28,57],"augment":[29],"severity":[30],"grading":[31],"improving":[33],"clinical":[34],"decision":[35],"support":[36],"and":[37,65,68,75,86,184,198],"outcome":[38],"prediction.":[39],"However,":[40],"accurate":[41],"challenging":[48],"following":[51],"reasons:":[52],"1)":[53],"Splenic":[54],"be":[58],"highly":[59],"variant":[60],"shape,":[62],"texture,":[63],"size,":[64],"overall":[66],"appearance;":[67],"2)":[69],"Data":[70],"acquisition":[71],"a":[73,106,155],"complex":[74],"expensive":[76],"procedure":[77],"that":[78],"requires":[79],"intensive":[80],"efforts":[81],"both":[83],"data":[84,128,170,187],"scientists":[85],"radiologists,":[87],"which":[88,160,214],"makes":[89],"large-scale":[90],"well-annotated":[91],"datasets":[92],"hard":[93],"to":[94,125,129],"acquire":[95],"general.":[97],"In":[98],"light":[99],"these":[101],"challenges,":[102],"we":[103,123,153],"hereby":[104],"design":[105],"novel":[107],"framework":[108],"segmentation,":[114],"especially":[115],"with":[116],"limited":[117],"data.":[118],"On":[119,149],"hand,":[122,152],"propose":[124],"leverage":[126],"external":[127,139,182],"mine":[130],"pseudo":[131],"masks":[133],"as":[134],"spatial":[136],"attention,":[137,140],"dubbed":[138],"guiding":[142],"injury.":[148],"other":[151,195],"develop":[154],"synthetic":[156],"phase":[157],"augmentation":[158],"module,":[159],"builds":[161],"upon":[162],"generative":[163],"adversarial":[164],"networks,":[165],"populating":[167,185],"internal":[169,186],"by":[171,205],"fully":[172],"leveraging":[173],"relation":[175],"between":[176],"different":[177],"phases.":[178],"By":[179],"jointly":[180],"enforcing":[181],"attention":[183],"representation":[188],"during":[189],"training,":[190],"our":[191],"proposed":[192],"method":[193],"outperforms":[194],"competing":[196],"methods":[197],"substantially":[199],"improves":[200],"popular":[202],"DeepLab-v3+":[203],"baseline":[204],"more":[206],"than":[207],"7%":[208],"terms":[210],"average":[212],"DSC,":[213],"confirms":[215],"its":[216],"effectiveness.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2022-01-26T00:00:00"}