{"id":"https://openalex.org/W3194662286","doi":"https://doi.org/10.1109/tmi.2022.3161829","title":"SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation","display_name":"SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation","publication_year":2022,"publication_date":"2022-03-23","ids":{"openalex":"https://openalex.org/W3194662286","doi":"https://doi.org/10.1109/tmi.2022.3161829","mag":"3194662286","pmid":"https://pubmed.ncbi.nlm.nih.gov/35320095"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3161829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3161829","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":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10325835/pdf/nihms-1912814.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076320750","display_name":"Chenyu You","orcid":"https://orcid.org/0000-0001-8365-7822"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chenyu You","raw_affiliation_strings":["Department of Electrical Engineering, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0001-8365-7822","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103232390","display_name":"Yuan Zhou","orcid":"https://orcid.org/0000-0002-7846-8629"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-7846-8629","affiliations":[{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006249302","display_name":"Ruihan Zhao","orcid":"https://orcid.org/0009-0009-8208-0377"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruihan Zhao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078494006","display_name":"Lawrence H. Staib","orcid":"https://orcid.org/0000-0002-9516-5136"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence Staib","raw_affiliation_strings":["Department of Radiology and Biomedical Imaging, the Department of Biomedical Engineering, and the Department of Electrical Engineering, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-9516-5136","affiliations":[{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, the Department of Biomedical Engineering, and the Department of Electrical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046673670","display_name":"James S. Duncan","orcid":"https://orcid.org/0000-0002-5167-9856"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James S. Duncan","raw_affiliation_strings":["Department of Radiology and Biomedical Imaging, the Department of Biomedical Engineering, and the Department of Electrical Engineering, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-5167-9856","affiliations":[{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, the Department of Biomedical Engineering, and the Department of Electrical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076320750"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":29.4356,"has_fulltext":true,"cited_by_count":312,"citation_normalized_percentile":{"value":0.99835901,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"41","issue":"9","first_page":"2228","last_page":"2237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9957000017166138,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9869999885559082,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7729163765907288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541977167129517},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7383813858032227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6064037680625916},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5473898649215698},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5469647645950317},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5212852954864502},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4914356470108032},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4444677531719208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3970264494419098}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7729163765907288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541977167129517},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7383813858032227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6064037680625916},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5473898649215698},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5469647645950317},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5212852954864502},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4914356470108032},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4444677531719208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3970264494419098},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","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":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":"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":"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":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2022.3161829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3161829","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:35320095","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35320095","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:pubmedcentral.nih.gov:10325835","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10325835","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10325835/pdf/nihms-1912814.pdf","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:pubmedcentral.nih.gov:10325835","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10325835","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10325835/pdf/nihms-1912814.pdf","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194662286.pdf"},"referenced_works_count":102,"referenced_works":["https://openalex.org/W219040644","https://openalex.org/W343636949","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1901129140","https://openalex.org/W2008893462","https://openalex.org/W2020790730","https://openalex.org/W2058822180","https://openalex.org/W2095705004","https://openalex.org/W2106780881","https://openalex.org/W2138621090","https://openalex.org/W2148107745","https://openalex.org/W2157787449","https://openalex.org/W2321533354","https://openalex.org/W2592335154","https://openalex.org/W2592691248","https://openalex.org/W2620998106","https://openalex.org/W2750925197","https://openalex.org/W2751665805","https://openalex.org/W2798991696","https://openalex.org/W2803023299","https://openalex.org/W2803985397","https://openalex.org/W2842511635","https://openalex.org/W2887997457","https://openalex.org/W2891451067","https://openalex.org/W2894332907","https://openalex.org/W2907093904","https://openalex.org/W2921087533","https://openalex.org/W2949517790","https://openalex.org/W2951584860","https://openalex.org/W2951970475","https://openalex.org/W2952787292","https://openalex.org/W2953070460","https://openalex.org/W2962804657","https://openalex.org/W2962914239","https://openalex.org/W2963073217","https://openalex.org/W2963454111","https://openalex.org/W2963627347","https://openalex.org/W2964222566","https://openalex.org/W2964268168","https://openalex.org/W2966415767","https://openalex.org/W2979402407","https://openalex.org/W2979420277","https://openalex.org/W2979427035","https://openalex.org/W2979433110","https://openalex.org/W2979708377","https://openalex.org/W2979792663","https://openalex.org/W2979888373","https://openalex.org/W2979907638","https://openalex.org/W2982043723","https://openalex.org/W2994929655","https://openalex.org/W2998663558","https://openalex.org/W3005680577","https://openalex.org/W3031923721","https://openalex.org/W3033333779","https://openalex.org/W3033671339","https://openalex.org/W3034781633","https://openalex.org/W3034978746","https://openalex.org/W3035159724","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3084995528","https://openalex.org/W3091628696","https://openalex.org/W3092945658","https://openalex.org/W3095137577","https://openalex.org/W3097499499","https://openalex.org/W3098288266","https://openalex.org/W3100622512","https://openalex.org/W3103200644","https://openalex.org/W3104785286","https://openalex.org/W3108655343","https://openalex.org/W3160259297","https://openalex.org/W3163162786","https://openalex.org/W3171581326","https://openalex.org/W3174913825","https://openalex.org/W3191850102","https://openalex.org/W3196464216","https://openalex.org/W3196863408","https://openalex.org/W3197032408","https://openalex.org/W3209458476","https://openalex.org/W3214038996","https://openalex.org/W4287181769","https://openalex.org/W4287755086","https://openalex.org/W4289543463","https://openalex.org/W4297808394","https://openalex.org/W6637551013","https://openalex.org/W6674330103","https://openalex.org/W6733814495","https://openalex.org/W6739879593","https://openalex.org/W6751612189","https://openalex.org/W6751751081","https://openalex.org/W6754278344","https://openalex.org/W6754433467","https://openalex.org/W6755536945","https://openalex.org/W6764051988","https://openalex.org/W6771610787","https://openalex.org/W6774314701","https://openalex.org/W6778672394","https://openalex.org/W6779992872","https://openalex.org/W6783906718","https://openalex.org/W6794981950","https://openalex.org/W6798642844"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W3027020613","https://openalex.org/W1521968289","https://openalex.org/W2782041652","https://openalex.org/W2016533837","https://openalex.org/W2952088488","https://openalex.org/W2392157706","https://openalex.org/W2599192953","https://openalex.org/W1522196789","https://openalex.org/W4379141755"],"abstract_inverted_index":{"Automated":[0],"segmentation":[1,76],"in":[2,120,212,248],"medical":[3,30,42,267],"image":[4,43,268],"analysis":[5],"is":[6],"a":[7,12,34,84,121,160,233,259],"challenging":[8],"task":[9],"that":[10,89,154],"requires":[11],"large":[13],"amount":[14],"of":[15,65,72,107,117,163,215,228,255],"manually":[16,28],"labeled":[17,150,216],"data.":[18,151],"However,":[19],"most":[20,47],"existing":[21,48],"learning-based":[22],"approaches":[23,50],"usually":[24,52],"suffer":[25],"from":[26],"limited":[27],"annotated":[29],"data,":[31],"which":[32,73,103],"poses":[33],"major":[35],"practical":[36],"problem":[37],"for":[38,262],"accurate":[39],"and":[40,60,68,111,166,198,220,230,235,271],"robust":[41,54,170],"segmentation.":[44],"In":[45,78],"addition,":[46],"semi-supervised":[49],"are":[51],"not":[53],"compared":[55,238],"with":[56,124,147],"the":[57,75,139,168,192,199,207,253],"supervised":[58,145],"counterparts,":[59],"also":[61],"lack":[62],"explicit":[63],"modeling":[64],"geometric":[66],"structure":[67],"semantic":[69],"information,":[70],"both":[71],"limit":[74],"accuracy.":[77],"this":[79],"work,":[80],"we":[81,175],"present":[82],"SimCVD,":[83],"simple":[85,132],"contrastive":[86,122],"distillation":[87,180],"framework":[88,261],"significantly":[90],"advances":[91],"state-of-the-art":[92],"voxel-wise":[93],"representation":[94,172],"learning.":[95],"We":[96,152,185],"first":[97],"describe":[98],"an":[99,108,224,249],"unsupervised":[100],"training":[101],"strategy,":[102],"takes":[104],"two":[105,126,189,213],"views":[106],"input":[109],"volume":[110],"predicts":[112],"their":[113],"signed":[114],"distance":[115],"maps":[116],"object":[118],"boundaries":[119],"objective,":[123],"only":[125],"independent":[127],"dropout":[128,155],"as":[129,142,159,258,266],"mask.":[130],"This":[131],"approach":[133],"works":[134],"surprisingly":[135],"well,":[136],"performing":[137],"on":[138,188,206],"same":[140],"level":[141],"previous":[143,240],"fully":[144],"methods":[146],"much":[148],"less":[149],"hypothesize":[153],"can":[156,245],"be":[157,246],"viewed":[158],"minimal":[161],"form":[162],"data":[164],"augmentation":[165],"makes":[167],"network":[169],"to":[171,177,239],"collapse.":[173],"Then,":[174],"propose":[176],"perform":[178],"structural":[179],"by":[181],"distilling":[182],"pair-wise":[183],"similarities.":[184],"evaluate":[186],"SimCVD":[187,222,257],"popular":[190],"datasets:":[191],"Left":[193],"Atrial":[194],"Segmentation":[195],"Challenge":[196],"(LA)":[197],"NIH":[200],"pancreas":[201],"CT":[202],"dataset.":[203],"The":[204],"results":[205],"LA":[208],"dataset":[209],"demonstrate":[210],"that,":[211],"types":[214],"ratios":[217],"(i.e.,":[218],"20%":[219],"10%),":[221],"achieves":[223],"average":[225],"Dice":[226],"score":[227],"90.85%":[229],"89.03%":[231],"respectively,":[232],"0.91%":[234],"2.22%":[236],"improvement":[237],"best":[241],"results.":[242],"Our":[243],"method":[244],"trained":[247],"end-to-end":[250],"fashion,":[251],"showing":[252],"promise":[254],"utilizing":[256],"general":[260],"downstream":[263],"tasks,":[264],"such":[265],"synthesis,":[269],"enhancement,":[270],"registration.":[272]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":94},{"year":2024,"cited_by_count":92},{"year":2023,"cited_by_count":76},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-07T08:38:57.713557","created_date":"2025-10-10T00:00:00"}