{"id":"https://openalex.org/W2959231264","doi":"https://doi.org/10.1109/isbi.2019.8759161","title":"Noise Level Matching Improves Robustness of Diffusion Mri Parameter Inference by Synthetic Q-Space Learning","display_name":"Noise Level Matching Improves Robustness of Diffusion Mri Parameter Inference by Synthetic Q-Space Learning","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2959231264","doi":"https://doi.org/10.1109/isbi.2019.8759161","mag":"2959231264"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2019.8759161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017227823","display_name":"Yoshitaka Masutani","orcid":"https://orcid.org/0000-0001-8505-673X"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yoshitaka Masutani","raw_affiliation_strings":["Graduate School of Information Sciences, Hiroshima City University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Hiroshima City University","institution_ids":["https://openalex.org/I57930482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5017227823"],"corresponding_institution_ids":["https://openalex.org/I57930482"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"142"},"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/T12209","display_name":"Bone and Joint Diseases","score":0.9639999866485596,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"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":0.960099995136261,"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/robustness","display_name":"Robustness (evolution)","score":0.7268152832984924},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.6953624486923218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6710507273674011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375208497047424},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.6246352195739746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49545371532440186},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48273226618766785},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45979616045951843},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.4117540419101715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39293816685676575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3244899809360504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23966392874717712},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11663642525672913},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.11612042784690857}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7268152832984924},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.6953624486923218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6710507273674011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375208497047424},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.6246352195739746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49545371532440186},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48273226618766785},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45979616045951843},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.4117540419101715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39293816685676575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3244899809360504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23966392874717712},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11663642525672913},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.11612042784690857},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2019.8759161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1989849626","https://openalex.org/W2022530159","https://openalex.org/W2032254014","https://openalex.org/W2059784307","https://openalex.org/W2062226341","https://openalex.org/W2068860991","https://openalex.org/W2116823839","https://openalex.org/W2176448989","https://openalex.org/W2328247767","https://openalex.org/W2526956958","https://openalex.org/W2945013996","https://openalex.org/W3199227251","https://openalex.org/W6762973335","https://openalex.org/W6800889677"],"related_works":["https://openalex.org/W4381516319","https://openalex.org/W2037499216","https://openalex.org/W1506384729","https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W3127045225","https://openalex.org/W2075698830","https://openalex.org/W2519609354","https://openalex.org/W2000794313","https://openalex.org/W4287067567"],"abstract_inverted_index":{"Diffusion":[0],"MRI":[1,24,60,90],"is":[2],"a":[3,31,74],"powerful":[4],"tool":[5],"for":[6,109],"characterizing":[7],"the":[8,38,56,84,93,120,125,140],"local":[9],"properties":[10],"of":[11,18,27,33,37,58,68,86,95,122,139],"microstructures":[12],"in":[13,42,101,157],"living":[14],"organisms,":[15],"using":[16,30,61],"parameters":[17,57],"various":[19],"signal":[20,99,141],"models.":[21],"A":[22],"diffusion":[23,59,143,153],"dataset":[25],"consists":[26],"signals":[28],"measured":[29],"variety":[32],"directions":[34],"and":[35,127,149,161],"strengths":[36],"gradient":[39],"field":[40],"expressed":[41],"q-space.":[43],"Machine":[44],"learning":[45,49],"approaches":[46],"called":[47],"q-space":[48,102],"have":[50],"been":[51],"recently":[52],"employed":[53],"to":[54,133],"infer":[55],"deep":[62],"regression":[63],"neural":[64],"networks,":[65],"etc.,":[66],"instead":[67],"conventional":[69],"model":[70],"parameter":[71],"fitting.":[72],"Moreover,":[73],"training":[75,87,97,126],"approach":[76],"that":[77,119],"uses":[78],"synthetically":[79],"generated":[80],"data":[81,111,129],"can":[82,103],"overcome":[83],"limitations":[85],"on":[88],"real":[89],"data.":[91],"During":[92],"generation":[94],"synthetic":[96,160],"data,":[98],"values":[100],"be":[104,131],"contaminated":[105],"by":[106],"artificial":[107],"noise":[108,123],"realistic":[110],"synthesis.":[112],"In":[113],"this":[114],"study,":[115],"we":[116],"experimentally":[117],"show":[118],"amount":[121],"between":[124],"test":[128],"should":[130],"matched":[132],"obtain":[134],"optimal":[135],"robustness.":[136],"As":[137],"examples":[138],"model,":[142],"tensor":[144],"imaging,":[145,148],"diffusional":[146],"kurtosis":[147],"neurite":[150],"orientation":[151],"dispersion":[152],"imaging":[154],"are":[155],"used":[156],"experiments":[158],"with":[159],"empirical":[162],"datasets.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}