{"id":"https://openalex.org/W2913924081","doi":"https://doi.org/10.1109/bibm.2018.8621474","title":"IterVM: An Iterative Model for Single-Particle Cryo-EM Image Clustering Based on Variational Autoencoder and Multi-Reference Alignment","display_name":"IterVM: An Iterative Model for Single-Particle Cryo-EM Image Clustering Based on Variational Autoencoder and Multi-Reference Alignment","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2913924081","doi":"https://doi.org/10.1109/bibm.2018.8621474","mag":"2913924081"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5005103373","display_name":"Guowei Ji","orcid":null},"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":true,"raw_author_name":"Guowei Ji","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397381","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0001-5720-773X"},"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":"Yang Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076024045","display_name":"Hong\u2010Bin Shen","orcid":"https://orcid.org/0000-0002-4029-3325"},"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":"Hong-Bin Shen","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing Ministry of Education of China, Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing Ministry of Education of China, Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005103373"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.5457,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80227385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"184","issue":null,"first_page":"999","last_page":"1002"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T11482","display_name":"RNA modifications and cancer","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8105966448783875},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7107627987861633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6747980713844299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6587685346603394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5558470487594604},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5449411869049072},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4834176301956177},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4579729735851288},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41566580533981323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3915168046951294},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3809325695037842},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29383784532546997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1951150894165039},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.14655110239982605}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8105966448783875},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7107627987861633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6747980713844299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587685346603394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5558470487594604},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5449411869049072},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4834176301956177},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4579729735851288},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41566580533981323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3915168046951294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3809325695037842},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29383784532546997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1951150894165039},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.14655110239982605},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1843054844","https://openalex.org/W1959608418","https://openalex.org/W2001923477","https://openalex.org/W2030644393","https://openalex.org/W2047902460","https://openalex.org/W2059466049","https://openalex.org/W2070183703","https://openalex.org/W2072404529","https://openalex.org/W2100455255","https://openalex.org/W2100495367","https://openalex.org/W2167488177","https://openalex.org/W2336140424","https://openalex.org/W2556467266","https://openalex.org/W2626299884","https://openalex.org/W2963568497","https://openalex.org/W6640963894","https://openalex.org/W6702663329","https://openalex.org/W6730333270"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W2004988775"],"abstract_inverted_index":{"Cryo-electron":[0],"microscopy":[1],"(cryo-EM)":[2],"is":[3,24,33,83,102,122],"playing":[4],"a":[5,97,103,115,169],"more":[6,8,44],"and":[7,27,36,42,80,86,161,164,193],"important":[9],"role":[10],"in":[11,51,72,95,106,145],"single-particle":[12],"structure":[13],"determination.":[14],"In":[15,110,126],"order":[16],"to":[17,34,90,139],"achieve":[18],"near-atomic":[19],"resolution,":[20],"2D":[21],"image":[22],"analysis":[23],"the":[25,49,52,58,63,74,81,92,141,146,150,154,158,174,180,185,202,210],"first":[26],"critical":[28],"step.":[29],"The":[30,55,68,196],"main":[31,69],"task":[32],"cluster":[35],"align":[37],"images":[38,46,50,60,76,156,182,204],"into":[39],"homogenous":[40],"groups,":[41],"yield":[43],"clear":[45],"by":[47],"averaging":[48],"same":[53],"group.":[54],"quality":[56],"of":[57,65],"average":[59],"directly":[61],"influences":[62],"reconstruction":[64],"3D":[66],"structures.":[67],"difficulties":[70],"lie":[71],"that":[73,179,199],"cryo-EM":[75,107,215],"are":[77],"extremely":[78],"noisy,":[79],"orientation":[82,191],"randomly":[84],"distributed":[85],"unknown.":[87],"Therefore":[88],"how":[89],"improve":[91],"clustering":[93,117,200,212],"accuracy":[94],"such":[96,189],"low":[98],"signal-to-noise-ratio":[99],"(SNR)":[100],"scenario":[101],"key":[104],"issue":[105],"data":[108,160],"analysis.":[109],"this":[111],"study,":[112],"we":[113,177],"present":[114],"new":[116],"method,":[118],"named":[119],"IterVM,":[120],"which":[121],"an":[123,131],"iterative":[124],"model.":[125],"each":[127],"iteration,":[128],"it":[129,152],"uses":[130],"unsupervised":[132],"generative":[133],"model,":[134],"i.e.":[135],"variational":[136],"autoencoders":[137],"(VAE),":[138],"learn":[140],"latent":[142],"information":[143,188],"contained":[144],"images.":[147],"After":[148],"training":[149,159],"models,":[151],"obtains":[153],"decoded":[155,181,203],"from":[157],"then":[162],"clusters":[163],"aligns":[165],"them":[166],"as":[167,190],"using":[168],"k-means":[170],"based":[171],"algorithm.":[172],"From":[173],"experimental":[175],"results,":[176],"find":[178],"effectively":[183],"reflect":[184],"real":[186],"projection":[187],"angles":[192],"structural":[194],"heterogeneity.":[195],"results":[197],"demonstrate":[198],"on":[201],"produce":[205],"better":[206],"performance":[207],"compared":[208],"with":[209],"state-of-the-art":[211],"methods":[213],"for":[214],"data.":[216]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
