{"id":"https://openalex.org/W4396828634","doi":"https://doi.org/10.3791/64845-v","title":"JoVE Video Dataset","display_name":"JoVE Video Dataset","publication_year":2024,"publication_date":"2024-05-10","ids":{"openalex":"https://openalex.org/W4396828634","doi":"https://doi.org/10.3791/64845-v"},"language":"pt","primary_location":{"id":"doi:10.3791/64845-v","doi":"https://doi.org/10.3791/64845-v","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3791/64845-v","pdf_url":"https://www.jove.com/pdf/64845/simplified-volumetric-models-as-an-effective-strategy-for-segmenting","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"database"},"volume":null,"type":"dataset","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.jove.com/pdf/64845/simplified-volumetric-models-as-an-effective-strategy-for-segmenting","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089234257","display_name":"Junha Song","orcid":"https://orcid.org/0000-0003-2015-1749","observed_orcids":["https://orcid.org/0000-0003-2015-1749"]},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Junha Song","raw_affiliation_strings":["Department of Biomedical Engineering, School of Biological Sciences and Medical Engineering, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Biological Sciences and Medical Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971","https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102846417","display_name":"Manfred Auer","orcid":"https://orcid.org/0000-0002-5435-9436","observed_orcids":["https://orcid.org/0000-0002-5435-9436"]},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Manfred Auer","raw_affiliation_strings":["Department of Biomedical Engineering, School of Biological Sciences and Medical Engineering, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Biological Sciences and Medical Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971","https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10044","display_name":"Protein Structure and Dynamics","score":0.0,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cryo-electron-tomography","display_name":"cryo-electron tomography","score":0.9079999923706055},{"id":"https://openalex.org/keywords/stereocilia","display_name":"stereocilia","score":0.8389999866485596},{"id":"https://openalex.org/keywords/inner-ear","display_name":"inner ear","score":0.847000002861023},{"id":"https://openalex.org/keywords/actin-filaments","display_name":"F-actin","score":0.8930000066757202},{"id":"https://openalex.org/keywords/actin-bundles","display_name":"actin bundles","score":0.8619999885559082},{"id":"https://openalex.org/keywords/ball-and-stick-model","display_name":"ball-and-stick model","score":0.8320000171661377},{"id":"https://openalex.org/keywords/automatic-segmentation","display_name":"automatic segmentation","score":0.7960000038146973},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.6800000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5037328600883484}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3791/64845-v","doi":"https://doi.org/10.3791/64845-v","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3791/64845-v","pdf_url":"https://www.jove.com/pdf/64845/simplified-volumetric-models-as-an-effective-strategy-for-segmenting","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"database"}],"best_oa_location":{"id":"doi:10.3791/64845-v","doi":"https://doi.org/10.3791/64845-v","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3791/64845-v","pdf_url":"https://www.jove.com/pdf/64845/simplified-volumetric-models-as-an-effective-strategy-for-segmenting","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"database"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332377","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52"},{"id":"https://openalex.org/F4320332622","display_name":"University of California, San Francisco","ror":"https://ror.org/043mz5j54"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396828634.pdf","grobid_xml":"https://content.openalex.org/works/W4396828634.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W92001397","https://openalex.org/W114163505","https://openalex.org/W1979646836","https://openalex.org/W1981372852","https://openalex.org/W1983923266","https://openalex.org/W1986604552","https://openalex.org/W2003294049","https://openalex.org/W2015903323","https://openalex.org/W2020435927","https://openalex.org/W2029101220","https://openalex.org/W2054818900","https://openalex.org/W2064140868","https://openalex.org/W2081741112","https://openalex.org/W2083019919","https://openalex.org/W2086643161","https://openalex.org/W2091002254","https://openalex.org/W2113848462","https://openalex.org/W2126919547","https://openalex.org/W2132629607","https://openalex.org/W2150218224","https://openalex.org/W2150876784","https://openalex.org/W2175730676","https://openalex.org/W2951698262","https://openalex.org/W2999706190","https://openalex.org/W3114541747","https://openalex.org/W3196391835","https://openalex.org/W3210109355","https://openalex.org/W4247118714"],"related_works":["https://openalex.org/W4396828843","https://openalex.org/W2797054660","https://openalex.org/W7140239968","https://openalex.org/W2020435927","https://openalex.org/W4412910797","https://openalex.org/W4417284429","https://openalex.org/W4286471036","https://openalex.org/W4403495924","https://openalex.org/W4399885773","https://openalex.org/W1987312063"],"abstract_inverted_index":{"Efficient":[0],"methods":[1],"for":[2,15,32,170],"the":[3,12,16,36,83,90,94,102,124,134,149,160,176,179],"extraction":[4],"of":[5,7,11,18,28,38,64,86,93,110,133,178],"features":[6,37,74],"interest":[8,39],"remain":[9],"one":[10,49],"biggest":[13],"challenges":[14],"interpretation":[17],"cryo-electron":[19,55,87],"tomograms.":[20],"Various":[21],"automated":[22,76,192,202],"approaches":[23,204],"have":[24,107],"been":[25],"proposed,":[26],"many":[27],"which":[29],"work":[30],"well":[31],"high-contrast":[33],"datasets":[34,57],"where":[35],"can":[40,195],"be":[41,196],"easily":[42],"detected":[43],"and":[44,89,130,157],"are":[45,58,70,205],"clearly":[46],"separated":[47],"from":[48],"another.":[50],"Our":[51],"inner":[52],"ear":[53],"stereocilia":[54],"tomographic":[56],"characterized":[59],"by":[60,82,128,190],"a":[61,111,120,197],"dense":[62],"array":[63],"hexagonally":[65],"packed":[66,96],"actin":[67,103,115,161],"filaments":[68],"that":[69,138],"frequently":[71],"cross-connected.":[72],"These":[73],"make":[75],"segmentation":[77,203],"very":[78],"challenging,":[79],"further":[80,188],"aggravated":[81],"high-noise":[84],"environment":[85],"tomograms":[88],"high":[91,150],"complexity":[92],"densely":[95],"features.":[97],"Using":[98],"prior":[99],"knowledge":[100],"about":[101,159],"bundle":[104],"organization,":[105],"we":[106],"placed":[108],"layers":[109],"highly":[112],"simplified":[113],"ball-and-stick":[114],"model":[116,140,184],"to":[117,123,146],"first":[118],"obtain":[119],"global":[121],"fit":[122],"density":[125],"map,":[126],"followed":[127],"regional":[129],"local":[131,171],"adjustments":[132],"model.":[135],"We":[136],"show":[137],"volumetric":[139],"building":[141],"not":[142,206],"only":[143],"allows":[144],"us":[145],"deal":[147],"with":[148],"complexity,":[151],"but":[152],"also":[153,165],"provides":[154],"precise":[155],"measurements":[156],"statistics":[158],"bundle.":[162],"Volumetric":[163,183],"models":[164],"serve":[166],"as":[167,174],"anchoring":[168],"points":[169],"segmentation,":[172],"such":[173],"in":[175],"case":[177],"actin-actin":[180],"cross":[181],"connectors.":[182],"building,":[185],"particularly":[186],"when":[187,200],"augmented":[189],"computer-based":[191],"fitting":[193],"approaches,":[194],"powerful":[198],"alternative":[199],"conventional":[201],"successful.":[207]},"counts_by_year":[],"updated_date":"2026-10-08T09:06:37.294493","created_date":"2024-05-12T00:00:00"}
