{"id":"https://openalex.org/W2017887192","doi":"https://doi.org/10.1155/2013/690140","title":"Application of Self-Organizing Artificial Neural Networks on Simulated Diffusion Tensor Images","display_name":"Application of Self-Organizing Artificial Neural Networks on Simulated Diffusion Tensor Images","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2017887192","doi":"https://doi.org/10.1155/2013/690140","mag":"2017887192"},"language":"en","primary_location":{"id":"doi:10.1155/2013/690140","doi":"https://doi.org/10.1155/2013/690140","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/690140","pdf_url":"https://downloads.hindawi.com/journals/mpe/2013/690140.pdf","source":{"id":"https://openalex.org/S178238111","display_name":"Mathematical Problems in Engineering","issn_l":"1024-123X","issn":["1024-123X","1026-7077","1563-5147"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Problems in Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/mpe/2013/690140.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062730250","display_name":"Dilek G\u00f6ksel Duru","orcid":"https://orcid.org/0000-0003-1484-8603","observed_orcids":["https://orcid.org/0000-0003-1484-8603"]},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Dilek G\u00f6ksel-Duru","raw_affiliation_strings":["Institute of Biomedical Engineering, Bogazici University, Kandilli Campus, 34684 Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, Bogazici University, Kandilli Campus, 34684 Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070359001","display_name":"Mehmed \u00d6zkan","orcid":"https://orcid.org/0000-0003-2492-8113","observed_orcids":["https://orcid.org/0000-0003-2492-8113"]},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmed \u00d6zkan","raw_affiliation_strings":["Institute of Biomedical Engineering, Bogazici University, Kandilli Campus, 34684 Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, Bogazici University, Kandilli Campus, 34684 Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062730250"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.4215,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60719988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"2013","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/diffusion-tensor-imaging","display_name":"diffusion tensor imaging","score":0.7919999957084656},{"id":"https://openalex.org/keywords/self-organizing-maps","display_name":"self-organizing maps","score":0.8619999885559082},{"id":"https://openalex.org/keywords/tractography","display_name":"tractography","score":0.8740000128746033},{"id":"https://openalex.org/keywords/fractional-anisotropy","display_name":"fractional anisotropy","score":0.8999999761581421},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"signal-to-noise ratio","score":0.9929999709129333},{"id":"https://openalex.org/keywords/unsupervised-neural-networks","display_name":"unsupervised neural networks","score":0.7509999871253967},{"id":"https://openalex.org/keywords/brain-mapping","display_name":"brain mapping","score":0.49399998784065247}],"concepts":[{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.8187896013259888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6248865723609924},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.615975022315979},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.594484806060791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943689346313477},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.5897662043571472},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.5671557784080505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5431889295578003},{"id":"https://openalex.org/C89916169","wikidata":"https://www.wikidata.org/wiki/Q17014600","display_name":"Fractional anisotropy","level":4,"score":0.5352929830551147},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.5335776209831238},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.5230315923690796},{"id":"https://openalex.org/C2993925342","wikidata":"https://www.wikidata.org/wiki/Q28457374","display_name":"Fiber tract","level":4,"score":0.45508769154548645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33216357231140137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.299392968416214},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.25838375091552734},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19000673294067383},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11523619294166565},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11196830868721008},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10081297159194946},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2013/690140","doi":"https://doi.org/10.1155/2013/690140","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/690140","pdf_url":"https://downloads.hindawi.com/journals/mpe/2013/690140.pdf","source":{"id":"https://openalex.org/S178238111","display_name":"Mathematical Problems in Engineering","issn_l":"1024-123X","issn":["1024-123X","1026-7077","1563-5147"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Problems in Engineering","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:jnlmpe:690140","doi":null,"is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/MPE/2013/690140.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2013/690140","doi":"https://doi.org/10.1155/2013/690140","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/690140","pdf_url":"https://downloads.hindawi.com/journals/mpe/2013/690140.pdf","source":{"id":"https://openalex.org/S178238111","display_name":"Mathematical Problems in Engineering","issn_l":"1024-123X","issn":["1024-123X","1026-7077","1563-5147"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Problems in Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.428600013256073}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2017887192.pdf","grobid_xml":"https://content.openalex.org/works/W2017887192.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1548465314","https://openalex.org/W1679913846","https://openalex.org/W1964802316","https://openalex.org/W1966592336","https://openalex.org/W1973701218","https://openalex.org/W1974052986","https://openalex.org/W1984464480","https://openalex.org/W2010428025","https://openalex.org/W2033947442","https://openalex.org/W2045701477","https://openalex.org/W2052570168","https://openalex.org/W2052803440","https://openalex.org/W2056849278","https://openalex.org/W2060622177","https://openalex.org/W2063495027","https://openalex.org/W2066560116","https://openalex.org/W2075072804","https://openalex.org/W2083525891","https://openalex.org/W2089692690","https://openalex.org/W2115557151","https://openalex.org/W2119053144","https://openalex.org/W2120259577","https://openalex.org/W2123326080","https://openalex.org/W2124776405","https://openalex.org/W2142214637","https://openalex.org/W2142900310","https://openalex.org/W2145132952","https://openalex.org/W2147133578"],"related_works":["https://openalex.org/W2013147182","https://openalex.org/W2089306806","https://openalex.org/W1972772359","https://openalex.org/W2092936133","https://openalex.org/W2156889666","https://openalex.org/W2012540883","https://openalex.org/W7098269503","https://openalex.org/W173023345","https://openalex.org/W7096161123","https://openalex.org/W2106094404"],"abstract_inverted_index":{"Diffusion":[0],"tensor":[1,75],"magnetic":[2],"resonance":[3],"imaging":[4],"(DTMRI)":[5],"as":[6],"a":[7,46,123],"noninvasive":[8],"modality":[9],"providing":[10],"in":[11,49,159,177],"vivo":[12],"anatomical":[13],"information":[14],"allows":[15],"determination":[16],"of":[17,27,38,45,93,126,143,153,183],"fiber":[18,69,119,148,157],"connections":[19],"which":[20,163],"leads":[21],"to":[22,42,65,115,145,155,167],"brain":[23],"mapping.":[24],"The":[25,109,138,151],"success":[26],"DTMRI":[28],"is":[29,37,63,85,113,180],"very":[30],"much":[31],"algorithm":[32],"dependent,":[33],"and":[34,91,104,133,174],"its":[35],"verification":[36,90],"great":[39],"importance":[40],"due":[41],"limited":[43],"availability":[44],"gold":[47],"standard":[48,124],"the":[50,67,88,94,117,131,134,141,184],"literature.":[51],"In":[52],"this":[53],"study,":[54],"unsupervised":[55],"artificial":[56,73],"neural":[57],"network":[58],"class,":[59],"namely,":[60],"self-organizing":[61],"maps,":[62],"employed":[64],"discover":[66],"underlying":[68],"tracts.":[70],"A":[71],"common":[72],"diffusion":[74],"resource,":[76],"named":[77],"\u201cphantom":[78],"images":[79],"for":[80,87,186],"simulating":[81],"tractography":[82],"errors\u201d":[83],"(PISTE),":[84],"used":[86],"accuracy":[89],"acceptability":[92],"proposed":[95,110],"approach.":[96],"Four":[97],"different":[98],"tract":[99,149],"geometries":[100],"with":[101,122],"varying":[102],"SNRs":[103],"fractional":[105],"anisotropy":[106,161],"are":[107],"investigated.":[108],"method,":[111],"SOFMAT,":[112],"able":[114],"define":[116],"predetermined":[118],"paths":[120,158],"successfully":[121],"deviation":[125],"(0.8\u20131.9)":[127],"\u00d7":[128],"10\u22123depending":[129],"on":[130],"trajectory":[132],"SNR":[135],"value":[136],"selected.":[137],"results":[139],"illustrate":[140],"capability":[142],"SOFMAT":[144,154],"reconstruct":[146],"complex":[147],"configurations.":[150],"ability":[152],"detect":[156],"low":[160],"regions,":[162],"physiologically":[164],"may":[165],"correspond":[166],"either":[168],"grey":[169],"matter":[170],"or":[171],"pathology":[172],"(abnormality)":[173],"uncertainty":[175],"areas":[176],"real":[178],"data,":[179],"an":[181],"advantage":[182],"method":[185],"future":[187],"studies.":[188]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2016-06-24T00:00:00"}
