{"id":"https://openalex.org/W2769453571","doi":"https://doi.org/10.1109/tbdata.2017.2772930","title":"Special Issue on Biomedical Big Data: Understanding, Learning and Applications","display_name":"Special Issue on Biomedical Big Data: Understanding, Learning and Applications","publication_year":2017,"publication_date":"2017-11-29","ids":{"openalex":"https://openalex.org/W2769453571","doi":"https://doi.org/10.1109/tbdata.2017.2772930","mag":"2769453571"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2017.2772930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2017.2772930","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-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/A5100606995","display_name":"Jun Zhu","orcid":"https://orcid.org/0000-0002-6254-2388"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jun Zhu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081485810","display_name":"An-An Liu","orcid":"https://orcid.org/0000-0001-5755-9145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"An-An Liu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102801444","display_name":"Mei Chen","orcid":"https://orcid.org/0000-0003-4414-8835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mei Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059125158","display_name":"Tolga Ta\u015fdizen","orcid":"https://orcid.org/0000-0001-6574-0366"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tolga Tasdizen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112629928","display_name":"Hang Su","orcid":"https://orcid.org/0000-0001-6272-9292"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hang Su","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100606995"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3884,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66929134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":"4","first_page":"375","last_page":"377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8568999767303467,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8568999767303467,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.8292999863624573,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.7348999977111816,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/computer-science","display_name":"Computer science","score":0.773776650428772},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7189953327178955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5917872786521912},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5650312900543213},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5267795324325562},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5160920023918152},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4920055568218231},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44146299362182617},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4303876757621765},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4210444986820221},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.4110293686389923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3605600595474243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.323489248752594},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1768045425415039},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15481659770011902},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10369947552680969}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.773776650428772},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7189953327178955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5917872786521912},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5650312900543213},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5267795324325562},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5160920023918152},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4920055568218231},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44146299362182617},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4303876757621765},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4210444986820221},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.4110293686389923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3605600595474243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.323489248752594},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1768045425415039},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15481659770011902},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10369947552680969},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2017.2772930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2017.2772930","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320337253","display_name":"Instituto de Ciencias del Mar y Limnolog\u00eda, Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2127970246","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W2748922771","https://openalex.org/W1987128138"],"abstract_inverted_index":{"The":[0,26,75,93],"papers":[1],"in":[2,17,122,173,196,212],"this":[3],"special":[4],"issue":[5],"focus":[6],"on":[7],"biomedical":[8,21,68,90,129,213],"Big":[9],"Data.":[10],"Biomedical":[11],"imaging":[12,52,58,79],"is":[13,102],"an":[14],"essential":[15],"component":[16],"various":[18],"fields":[19,182],"of":[20,28,33,67,77,89,105,128,183,190,192,200],"research":[22,101],"and":[23,54,81,96,112,131,139,152,156,162,166],"clinical":[24],"practice.":[25],"study":[27],"biologists":[29],"requires":[30],"continuous":[31],"monitoring":[32],"cell":[34,145,150,154,157],"behavior":[35,158],"under":[36],"microscope.":[37],"Neuroscientists":[38],"detect":[39],"regional":[40],"metabolic":[41],"brain":[42],"activity":[43],"from":[44],"positron":[45],"emission":[46],"tomography":[47],"(PET),":[48],"functional":[49],"magnetic":[50,55],"resonance":[51,56],"(MRI),":[53],"spectrum":[57],"(MRSI)":[59],"scans.":[60],"During":[61],"these":[62,204],"researching":[63],"process,":[64],"large":[65],"amount":[66],"data":[69,130],"will":[70,207],"be":[71],"produced":[72],"for":[73,98,125],"processing.":[74],"development":[76],"advanced":[78],"equipment":[80],"diverse":[82],"applications":[83,141],"also":[84],"have":[85],"driven":[86],"the":[87,99,103,170,188],"generation":[88],"big":[91,107,214],"data.":[92,215],"main":[94],"challenge":[95],"bottleneck":[97],"related":[100],"conversion":[104],"\u201cbiomedical":[106],"data\u201d":[108],"into":[109],"interpretable":[110],"information":[111],"hence":[113],"discoveries.":[114],"Computer":[115],"vision":[116,194],"theory":[117],"has":[118,132,179],"a":[119,197],"huge":[120],"potential":[121],"many":[123],"aspects":[124],"automated":[126],"understanding":[127],"been":[133],"used":[134],"successfully":[135],"to":[136,209],"speed":[137],"up":[138],"improve":[140],"such":[142],"as":[143],"large-scale":[144],"image":[146,160],"analysis":[147],"(image":[148],"preconditioning,":[149],"segmentation":[151,165],"detection,":[153],"tracking,":[155],"identification),":[159],"reconstruction":[161],"registration,":[163],"organ":[164],"disease":[167],"classification.":[168],"Considering":[169],"recent":[171],"advance":[172,206],"machine":[174],"learning":[175,178],"technique,":[176],"deep":[177],"revolutionized":[180],"multiple":[181],"computer":[184,193],"vision,":[185],"significantly":[186],"pushing":[187],"state":[189],"arts":[191],"systems":[195],"broad":[198],"array":[199],"high-level":[201],"tasks.":[202],"Hopefully":[203],"technique":[205],"help":[208],"deal":[210],"problems":[211]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
