{"id":"https://openalex.org/W4221144436","doi":"https://doi.org/10.1109/tmi.2022.3186677","title":"Contrastive and Selective Hidden Embeddings for Medical Image Segmentation","display_name":"Contrastive and Selective Hidden Embeddings for Medical Image Segmentation","publication_year":2022,"publication_date":"2022-06-29","ids":{"openalex":"https://openalex.org/W4221144436","doi":"https://doi.org/10.1109/tmi.2022.3186677","pmid":"https://pubmed.ncbi.nlm.nih.gov/35767510"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3186677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3186677","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":["crossref","pubmed"],"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/A5100323080","display_name":"Zihao Liu","orcid":"https://orcid.org/0000-0003-4044-2172"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihao Liu","raw_affiliation_strings":["Advanced Institute of Information Technology, Peking University, Hangzhou, China","SenseTime Research, Beijing, China","National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Advanced Institute of Information Technology, Peking University, Hangzhou, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]},{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040977275","display_name":"Zhuowei Li","orcid":"https://orcid.org/0000-0001-9400-9900"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuowei Li","raw_affiliation_strings":["Department of Computer Science, Rutgers University, New Brunswick, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101417955","display_name":"Zhiqiang Hu","orcid":"https://orcid.org/0000-0003-0830-815X"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Hu","raw_affiliation_strings":["SenseTime Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102011770","display_name":"Qing Xia","orcid":"https://orcid.org/0000-0002-0328-7882"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Xia","raw_affiliation_strings":["SenseTime Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013727612","display_name":"Ruiqin Xiong","orcid":"https://orcid.org/0000-0001-9796-0478"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqin Xiong","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066553616","display_name":"Shaoting Zhang","orcid":"https://orcid.org/0000-0002-8719-448X"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoting Zhang","raw_affiliation_strings":["SenseTime Research, Beijing, China","Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101606698","display_name":"Tingting Jiang","orcid":"https://orcid.org/0000-0002-5372-0656"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Jiang","raw_affiliation_strings":["Advanced Institute of Information Technology, Peking University, Hangzhou, China","National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Advanced Institute of Information Technology, Peking University, Hangzhou, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100323080"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210128910"],"apc_list":null,"apc_paid":null,"fwci":1.7285,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83108751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"41","issue":"11","first_page":"3398","last_page":"3410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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/T10862","display_name":"AI in cancer detection","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/discriminative-model","display_name":"Discriminative model","score":0.8586541414260864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8044373989105225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7196161150932312},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6577966809272766},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6467337012290955},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6170510053634644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6036174297332764},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5891624689102173},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5259920954704285},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4822852909564972},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45051756501197815},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44634318351745605},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.43430009484291077}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8586541414260864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044373989105225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7196161150932312},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6577966809272766},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6467337012290955},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6170510053634644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6036174297332764},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5891624689102173},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5259920954704285},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4822852909564972},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45051756501197815},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44634318351745605},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.43430009484291077},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2022.3186677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3186677","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:35767510","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35767510","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}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2389558678","display_name":null,"funder_award_id":"62072009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1904878066","https://openalex.org/W1948751323","https://openalex.org/W1995875735","https://openalex.org/W2061253660","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2295519047","https://openalex.org/W2301358467","https://openalex.org/W2437694626","https://openalex.org/W2600383743","https://openalex.org/W2607363228","https://openalex.org/W2623166637","https://openalex.org/W2625559849","https://openalex.org/W2752782242","https://openalex.org/W2759138913","https://openalex.org/W2782364420","https://openalex.org/W2787091153","https://openalex.org/W2884585870","https://openalex.org/W2885262262","https://openalex.org/W2885668531","https://openalex.org/W2905035558","https://openalex.org/W2915126261","https://openalex.org/W2963062226","https://openalex.org/W2963803174","https://openalex.org/W2963840672","https://openalex.org/W2963946669","https://openalex.org/W2963959402","https://openalex.org/W2964083058","https://openalex.org/W2964250774","https://openalex.org/W2979457045","https://openalex.org/W2979907638","https://openalex.org/W2979997617","https://openalex.org/W2980190282","https://openalex.org/W2980246484","https://openalex.org/W2985407551","https://openalex.org/W2986661129","https://openalex.org/W2990613241","https://openalex.org/W2998097997","https://openalex.org/W3006349040","https://openalex.org/W3022061250","https://openalex.org/W3029860052","https://openalex.org/W3035060554","https://openalex.org/W3035485193","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3091546937","https://openalex.org/W3091595271","https://openalex.org/W3101507774","https://openalex.org/W3108655343","https://openalex.org/W3113328489","https://openalex.org/W3171007011","https://openalex.org/W3178925107","https://openalex.org/W3214038996","https://openalex.org/W4287755086","https://openalex.org/W4289489408","https://openalex.org/W4306369316","https://openalex.org/W6639867372","https://openalex.org/W6696085341","https://openalex.org/W6735443497","https://openalex.org/W6752558437","https://openalex.org/W6754551840","https://openalex.org/W6759274242","https://openalex.org/W6774314701","https://openalex.org/W6776700526","https://openalex.org/W6777265123","https://openalex.org/W6777860236","https://openalex.org/W6779326418","https://openalex.org/W6779992872","https://openalex.org/W6779997284","https://openalex.org/W6784185929","https://openalex.org/W6786614245","https://openalex.org/W6796208063","https://openalex.org/W6798642844","https://openalex.org/W6846221585"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2180954594","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"Medical":[0],"image":[1,32],"segmentation":[2,75],"is":[3,109,155],"fundamental":[4],"and":[5,49,95,122],"essential":[6],"for":[7,55],"the":[8,28,67,74,113,119,144,150],"analysis":[9,33],"of":[10,30,39,46,52,69],"medical":[11,31,60],"images.":[12,61],"Although":[13],"prevalent":[14],"success":[15],"has":[16],"been":[17],"achieved":[18],"by":[19,34],"convolutional":[20],"neural":[21],"networks":[22],"(CNN),":[23],"challenges":[24],"are":[25],"encountered":[26],"in":[27,59,118,149],"domain":[29],"two":[35],"aspects:":[36],"1)":[37],"lack":[38,51],"discriminative":[40,80],"features":[41,54],"to":[42,73,77,91,111],"handle":[43],"similar":[44],"textures":[45],"distinct":[47],"structures":[48],"2)":[50],"selective":[53],"potential":[56,114],"blurred":[57],"boundaries":[58],"In":[62,97],"this":[63],"paper,":[64],"we":[65,83],"extend":[66],"concept":[68],"contrastive":[70,88],"learning":[71],"(CL)":[72],"task":[76],"learn":[78],"more":[79],"representation.":[81],"Specifically,":[82],"propose":[84],"a":[85,99,125],"novel":[86],"patch-dragsaw":[87],"regularization":[89],"(PDCR)":[90],"perform":[92],"patch-level":[93],"tugging":[94],"repulsing.":[96],"addition,":[98],"new":[100],"structure,":[101],"namely":[102],"uncertainty-aware":[103],"feature":[104,120,127],"re-":[105,128],"weighting":[106],"block":[107],"(UAFR),":[108],"designed":[110],"address":[112],"high":[115],"uncertainty":[116],"regions":[117],"maps":[121],"serves":[123],"as":[124],"better":[126],"weighting.":[129],"Our":[130],"proposed":[131],"method":[132,145],"achieves":[133],"state-of-the-art":[134],"results":[135],"across":[136],"8":[137],"public":[138],"datasets":[139],"from":[140],"6":[141],"domains.":[142],"Besides,":[143],"also":[146],"demonstrates":[147],"robustness":[148],"limited-data":[151],"scenario.":[152],"The":[153],"code":[154],"publicly":[156],"available":[157],"at":[158],"https://github.com/lzh19961031/PDCR_UAFR-MIShttps://github.com/lzh19961031/PDCR_UAFR-MIS.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}