{"id":"https://openalex.org/W7161797739","doi":"https://doi.org/10.1109/isbi61048.2026.11515336","title":"SemiETPicker: Fast and Label-Efficient Particle Picking for CryoET Tomography Using Semi-Supervised Learning","display_name":"SemiETPicker: Fast and Label-Efficient Particle Picking for CryoET Tomography Using Semi-Supervised Learning","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161797739","doi":"https://doi.org/10.1109/isbi61048.2026.11515336"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","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/A5063375262","display_name":"Linhan Wang","orcid":"https://orcid.org/0009-0000-8057-1767"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linhan Wang","raw_affiliation_strings":["Virginia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136521853","display_name":"Jianwen Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianwen Dou","raw_affiliation_strings":["Virginia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382435","display_name":"Wang Li","orcid":"https://orcid.org/0000-0003-2054-1392"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang Li","raw_affiliation_strings":["University of Memphis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Memphis","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063445349","display_name":"S Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shengkun Wang","raw_affiliation_strings":["Virginia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129671499","display_name":"Zhiwu Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153668","display_name":"Wenzhou-Kean University","ror":"https://ror.org/05609xa16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153668"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwu Xie","raw_affiliation_strings":["Wenzhou-Kean University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou-Kean University","institution_ids":["https://openalex.org/I4210153668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136600660","display_name":"Chang-Tien Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang-Tien Lu","raw_affiliation_strings":["Virginia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103259528","display_name":"Yinlin Chen","orcid":"https://orcid.org/0000-0002-3986-3108"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinlin Chen","raw_affiliation_strings":["Virginia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"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":0.75902603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.46389999985694885,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.46389999985694885,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10923","display_name":"Force Microscopy Techniques and Applications","score":0.07819999754428864,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.019899999722838402,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.4781999886035919},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4016000032424927},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.31869998574256897},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.31470000743865967},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.30070000886917114},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2757999897003174}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5523999929428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5253999829292297},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.4781999886035919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4706999957561493},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29269999265670776},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27480000257492065},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4423582635","display_name":null,"funder_award_id":"LG-254883-OLS-23","funder_id":"https://openalex.org/F4320306122","funder_display_name":"Institute of Museum and Library Services"}],"funders":[{"id":"https://openalex.org/F4320306122","display_name":"Institute of Museum and Library Services","ror":"https://ror.org/030prv062"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2003294049","https://openalex.org/W2194775991","https://openalex.org/W2563314032","https://openalex.org/W2565639579","https://openalex.org/W2765407302","https://openalex.org/W2952729952","https://openalex.org/W2962914239","https://openalex.org/W2963516811","https://openalex.org/W2963855133","https://openalex.org/W3012573144","https://openalex.org/W3035682985","https://openalex.org/W3048053687","https://openalex.org/W3120864894","https://openalex.org/W3172507542","https://openalex.org/W3173964191","https://openalex.org/W4249216763","https://openalex.org/W4280502557","https://openalex.org/W4308923600","https://openalex.org/W4312561457","https://openalex.org/W4399757462"],"related_works":[],"abstract_inverted_index":{"Cryogenic":[0],"Electron":[1],"Tomography":[2],"(CryoET)":[3],"combined":[4],"with":[5],"sub-volume":[6],"averaging":[7],"(SVA)":[8],"is":[9],"the":[10,26,39,44,50,120,137],"only":[11],"imaging":[12],"modality":[13],"capable":[14],"of":[15,28,53,76,139],"resolving":[16],"protein":[17],"structures":[18],"inside":[19],"cells":[20],"at":[21],"molecular":[22],"resolution.":[23],"Particle":[24],"picking,":[25],"task":[27],"localizing":[29],"and":[30,89,107],"classifying":[31],"target":[32],"proteins":[33],"in":[34],"3D":[35],"CryoET":[36,145],"volumes,":[37],"remains":[38,56],"main":[40],"bottleneck.":[41],"Due":[42],"to":[43,113],"reliance":[45],"on":[46,119],"time-consuming":[47],"manual":[48],"labels,":[49],"vast":[51],"reserve":[52],"unlabeled":[54,144],"tomograms":[55],"underutilized.":[57],"In":[58],"this":[59,70],"work,":[60],"we":[61,103],"present":[62],"a":[63,91,108],"fast,":[64],"label-efficient":[65],"semi-supervised":[66],"framework":[67,74],"that":[68,95,125],"exploits":[69],"untapped":[71],"data.":[72,146],"Our":[73],"consists":[75],"two":[77],"components:":[78],"(i)":[79],"an":[80],"end-toend":[81],"heatmap-supervised":[82],"detection":[83],"model":[84],"inspired":[85],"by":[86,130],"keypoint":[87],"detection,":[88],"(ii)":[90],"teacher-student":[92],"co-training":[93],"mechanism":[94],"enhances":[96],"performance":[97],"under":[98],"sparse":[99],"labeling":[100],"conditions.":[101],"Furthermore,":[102],"introduce":[104],"multi-view":[105],"pseudo-labeling":[106],"CryoET-specific":[109],"DropBlock":[110],"augmentation":[111],"strategy":[112],"further":[114],"boost":[115],"performance.":[116],"Extensive":[117],"evaluations":[118],"large-scale":[121],"CZII":[122],"dataset":[123],"show":[124],"our":[126],"approach":[127],"improves":[128],"F1":[129],"10":[131],"%":[132],"over":[133],"supervised":[134],"baselines,":[135],"underscoring":[136],"promise":[138],"semisupervised":[140],"learning":[141],"for":[142],"leveraging":[143]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-21T00:00:00"}
