{"id":"https://openalex.org/W4387133377","doi":"https://doi.org/10.1007/s13218-023-00811-y","title":"Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data","display_name":"Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387133377","doi":"https://doi.org/10.1007/s13218-023-00811-y"},"language":"en","primary_location":{"id":"doi:10.1007/s13218-023-00811-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13218-023-00811-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13218-023-00811-y.pdf","source":{"id":"https://openalex.org/S4210234608","display_name":"KI - K\u00fcnstliche Intelligenz","issn_l":"0933-1875","issn":["0933-1875","1610-1987"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KI - K\u00fcnstliche Intelligenz","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13218-023-00811-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049207550","display_name":"Yousef Sadegheih","orcid":"https://orcid.org/0009-0003-1766-5519"},"institutions":[{"id":"https://openalex.org/I60668342","display_name":"University of Regensburg","ror":"https://ror.org/01eezs655","country_code":"DE","type":"education","lineage":["https://openalex.org/I60668342"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yousef Sadegheih","raw_affiliation_strings":["Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany","institution_ids":["https://openalex.org/I60668342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016954076","display_name":"Leon Weninger","orcid":"https://orcid.org/0000-0002-7263-4219"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Leon Weninger","raw_affiliation_strings":["Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064747056","display_name":"Dorit Merhof","orcid":"https://orcid.org/0000-0002-1672-2185"},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I60668342","display_name":"University of Regensburg","ror":"https://ror.org/01eezs655","country_code":"DE","type":"education","lineage":["https://openalex.org/I60668342"]},{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dorit Merhof","raw_affiliation_strings":["Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany","Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany","Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1672-2185","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany","institution_ids":["https://openalex.org/I60668342"]},{"raw_affiliation_string":"Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany","institution_ids":["https://openalex.org/I4210137873"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064747056"],"corresponding_institution_ids":["https://openalex.org/I4210137873","https://openalex.org/I60668342","https://openalex.org/I887968799"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17338057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"1","first_page":"45","last_page":"53"},"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9970999956130981,"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/T12603","display_name":"NMR spectroscopy and applications","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7791925668716431},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.7026177644729614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5428263545036316},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.4969065487384796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46803122758865356},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.45462870597839355},{"id":"https://openalex.org/keywords/data-verification","display_name":"Data verification","score":0.4142894148826599},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4116203188896179},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4024980664253235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3796544075012207},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.33010268211364746},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.13967931270599365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7791925668716431},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.7026177644729614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5428263545036316},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.4969065487384796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46803122758865356},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.45462870597839355},{"id":"https://openalex.org/C49895821","wikidata":"https://www.wikidata.org/wiki/Q5227368","display_name":"Data verification","level":2,"score":0.4142894148826599},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4116203188896179},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4024980664253235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3796544075012207},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.33010268211364746},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.13967931270599365},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s13218-023-00811-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13218-023-00811-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13218-023-00811-y.pdf","source":{"id":"https://openalex.org/S4210234608","display_name":"KI - K\u00fcnstliche Intelligenz","issn_l":"0933-1875","issn":["0933-1875","1610-1987"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KI - K\u00fcnstliche Intelligenz","raw_type":"journal-article"},{"id":"pmh:oai:epub.uni-regensburg.de:54783","is_oa":true,"landing_page_url":"http://orcid.org/0000-0002-1672-2185>","pdf_url":"https://epub.uni-regensburg.de/54783/1/s13218-023-00811-y.pdf","source":{"id":"https://openalex.org/S4306401229","display_name":"University of Regensburg Publication Server (University of Regensburg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60668342","host_organization_name":"University of Regensburg","host_organization_lineage":["https://openalex.org/I60668342"],"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":"info:eu-repo/semantics/article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/512132","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/512132","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"journal article"},{"id":"doi:10.5283/epub.54783","is_oa":true,"landing_page_url":"https://doi.org/10.5283/epub.54783","pdf_url":null,"source":{"id":"https://openalex.org/S4306401229","display_name":"University of Regensburg Publication Server (University of Regensburg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60668342","host_organization_name":"University of Regensburg","host_organization_lineage":["https://openalex.org/I60668342"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1007/s13218-023-00811-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13218-023-00811-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13218-023-00811-y.pdf","source":{"id":"https://openalex.org/S4210234608","display_name":"KI - K\u00fcnstliche Intelligenz","issn_l":"0933-1875","issn":["0933-1875","1610-1987"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KI - K\u00fcnstliche Intelligenz","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G437865196","display_name":"Erforschung neuartiger Ans\u00e4tze des Deep Learning f\u00fcr die Analyse von DiffusionsbildgebungsDaten","funder_award_id":"417063796","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320323328","display_name":"Universit\u00e4t Regensburg","ror":"https://ror.org/01eezs655"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387133377.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1970928383","https://openalex.org/W1984453610","https://openalex.org/W2001611992","https://openalex.org/W2006096283","https://openalex.org/W2025768430","https://openalex.org/W2032254014","https://openalex.org/W2062791478","https://openalex.org/W2071881327","https://openalex.org/W2113619522","https://openalex.org/W2127309075","https://openalex.org/W2136573752","https://openalex.org/W2194775991","https://openalex.org/W2290321704","https://openalex.org/W2558748708","https://openalex.org/W2962785568","https://openalex.org/W2963351448","https://openalex.org/W2963717741","https://openalex.org/W3041897589","https://openalex.org/W3049437176","https://openalex.org/W3089032154","https://openalex.org/W3092596753","https://openalex.org/W3095507911","https://openalex.org/W3135096264","https://openalex.org/W3136358712","https://openalex.org/W4212793311","https://openalex.org/W4225012841","https://openalex.org/W4226057887","https://openalex.org/W4320036891"],"related_works":["https://openalex.org/W2429057255","https://openalex.org/W2187546663","https://openalex.org/W148745890","https://openalex.org/W4389670110","https://openalex.org/W2611942503","https://openalex.org/W4315621326","https://openalex.org/W2899790217","https://openalex.org/W2598865957","https://openalex.org/W2963466710","https://openalex.org/W2888916176"],"abstract_inverted_index":{"Abstract":[0],"Diffusion":[1],"magnetic":[2],"resonance":[3],"imaging":[4,176],"(dMRI)":[5],"is":[6,22],"developing":[7],"into":[8],"one":[9],"of":[10,47,49,58,66,74,87,108,134,157,174,183],"the":[11,29,45,56,64,72,85,95,106,154,158,162,172,181],"most":[12],"important":[13,127],"non-invasive":[14],"tools":[15],"for":[16,100,186],"clinical":[17,53,190,193],"brain":[18],"research.":[19],"This":[20],"development":[21],"supported":[23],"by":[24,28],"a":[25,98,113],"project":[26,96],"funded":[27],"German":[30],"Research":[31],"Foundation,":[32],"in":[33,77,161,189],"which":[34],"four":[35],"major":[36],"obstacles":[37],"related":[38],"to":[39,80,117,141,152,170,179],"dMRI":[40,50,187],"data":[41,51,121,160,177,188],"were":[42,150],"addressed:":[43],"(1)":[44],"lack":[46,57],"transferability":[48],"between":[52],"sites,":[54],"(2)":[55],"training":[59],"and":[60,70,122,130,178,192],"label":[61],"data,":[62,69,94,112],"(3)":[63],"potential":[65],"complex":[67,135],"diffusion":[68,120,128,159,175],"(4)":[71],"integration":[73,133],"spherical":[75,155],"signals":[76],"neural":[78],"networks":[79],"improve":[81,142,171],"accuracy.":[82],"To":[83,104],"overcome":[84],"problem":[86],"different":[88],"MRI":[89,102],"systems":[90],"producing":[91],"slightly":[92],"varying":[93],"developed":[97,116,151],"method":[99],"harmonizing":[101],"signals.":[103],"address":[105],"issue":[107],"limited":[109],"ground":[110],"truth":[111],"framework":[114],"was":[115,144],"synthesize":[118],"individual":[119],"complete":[123],"datasets":[124],"based":[125],"on":[126],"characteristics":[129],"statistics.":[131],"The":[132,165],"signals,":[136],"often":[137],"discarded":[138],"during":[139],"acquisition,":[140],"reconstruction":[143],"also":[145],"explored.":[146],"Finally,":[147],"new":[148],"methods":[149,167],"preserve":[153],"character":[156],"DL":[163],"model.":[164],"resulting":[166],"are":[168],"intended":[169],"usability":[173],"enable":[180],"creation":[182],"processing":[184],"pipelines":[185],"studies":[191],"practice.":[194]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}