{"id":"https://openalex.org/W2966830532","doi":"https://doi.org/10.1109/access.2019.2931744","title":"Data Driven Intelligent Diagnostics for Parkinson\u2019s Disease","display_name":"Data Driven Intelligent Diagnostics for Parkinson\u2019s Disease","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2966830532","doi":"https://doi.org/10.1109/access.2019.2931744","mag":"2966830532"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2931744","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2931744","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08779631.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08779631.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059964480","display_name":"Yin Dai","orcid":"https://orcid.org/0000-0001-7812-9750"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yin Dai","raw_affiliation_strings":["Engineering Center on Medical Imaging and Intelligent Analysis, Ministry Education, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-7812-9750","affiliations":[{"raw_affiliation_string":"Engineering Center on Medical Imaging and Intelligent Analysis, Ministry Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704278","display_name":"Zheng Tang","orcid":"https://orcid.org/0000-0002-6543-7444"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Tang","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714578","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-6815-0879"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Neusoft Corporation, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neusoft Corporation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I4210134419","https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079036558","display_name":"Zian Xu","orcid":"https://orcid.org/0000-0002-6374-1805"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zian Xu","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059964480"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.9356,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95565056,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"106941","last_page":"106950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14347","display_name":"Big Data and Digital Economy","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10919","display_name":"Neurological disorders and treatments","score":0.9567000269889832,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.9465000033378601,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398228406906128},{"id":"https://openalex.org/keywords/parkinsons-disease","display_name":"Parkinson's disease","score":0.6102499961853027},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.492584764957428},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3230409026145935},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17993620038032532},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07274216413497925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398228406906128},{"id":"https://openalex.org/C2779734285","wikidata":"https://www.wikidata.org/wiki/Q11085","display_name":"Parkinson's disease","level":3,"score":0.6102499961853027},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.492584764957428},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3230409026145935},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17993620038032532},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07274216413497925}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2931744","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2931744","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08779631.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:36f4a84874a74010ab2a4318aa68787f","is_oa":true,"landing_page_url":"https://doaj.org/article/36f4a84874a74010ab2a4318aa68787f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 106941-106950 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2931744","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2931744","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08779631.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3068484546","display_name":null,"funder_award_id":"N180719020","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7181825300","display_name":null,"funder_award_id":"61801104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966830532.pdf","grobid_xml":"https://content.openalex.org/works/W2966830532.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1901129140","https://openalex.org/W1998808035","https://openalex.org/W2022508996","https://openalex.org/W2076783280","https://openalex.org/W2087919208","https://openalex.org/W2364909060","https://openalex.org/W2533800772","https://openalex.org/W2591595926","https://openalex.org/W2601564443","https://openalex.org/W2618131679","https://openalex.org/W2766386624","https://openalex.org/W4212985932","https://openalex.org/W4231057059","https://openalex.org/W6637373629","https://openalex.org/W6639204139","https://openalex.org/W6639824700","https://openalex.org/W6745122469"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W3134596587","https://openalex.org/W3216329096","https://openalex.org/W2416973532","https://openalex.org/W3116665257"],"abstract_inverted_index":{"Parkinson's":[0,48],"disease":[1,10,49],"(PD)":[2],"is":[3,12,39,59],"a":[4,136,177,182],"common":[5,45],"chronic":[6],"occult":[7],"neurological":[8],"degeneration":[9],"which":[11],"most":[13,44,87],"likely":[14],"to":[15,63,117],"occur":[16],"among":[17],"middle-aged":[18],"and":[19,33,131,134,181],"old-aged":[20],"people.":[21],"Neuroprotective":[22],"methods":[23,92,116],"can":[24],"significantly":[25],"slow":[26],"the":[27,34,37,42,64,86,106,150,162,186],"PD":[28,38],"progression,":[29],"therefore":[30],"early":[31,71,109],"diagnosis":[32,58,77],"treatment":[35],"of":[36,66,75,108,152],"crucial.":[40],"As":[41],"second":[43],"neurodegenerative":[46],"disorder,":[47],"has":[50,85,176],"its":[51],"identification":[52],"based":[53,78,93,140],"on":[54,79,94,141],"clinical":[55],"diagnoses.":[56],"Early":[57],"especially":[60],"important":[61],"due":[62],"lack":[65],"radical":[67],"treatment.":[68],"In":[69],"all":[70],"diagnostic":[72,179],"methods,":[73,154],"results":[74,151,168],"imaging":[76,84],"positron":[80],"emission":[81],"tomography":[82],"(PET)":[83],"outstanding":[88],"accuracy.":[89],"Deep":[90],"learning":[91,138],"convolutional":[95],"neural":[96],"networks":[97],"performed":[98],"well":[99],"in":[100],"diagnosing":[101],"different":[102],"diseases.":[103],"To":[104],"address":[105],"demand":[107],"diagnosis,":[110],"this":[111],"paper":[112],"applies":[113],"several":[114],"preprocessing":[115],"image":[118,132],"data":[119],"such":[120],"as":[121],"gray":[122],"level":[123],"transformation,":[124],"histogram":[125],"equalization,":[126],"improved":[127,165,187],"wavelet":[128],"soft-threshold":[129],"denoising":[130],"enhancement,":[133],"proposes":[135],"deep":[137],"model":[139],"U-Net":[142,160,171],"architecture":[143],"with":[144,172],"deformable":[145,159,173],"convolution":[146,174],"kernels.":[147],"After":[148],"comparing":[149],"both":[153],"we":[155],"found":[156],"out":[157],"that":[158,170],"outperformed":[161],"previously":[163],"built":[164],"VGG-Net.":[166,188],"These":[167],"show":[169],"structure":[175],"good":[178],"capability":[180],"better":[183],"performance":[184],"than":[185]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}