{"id":"https://openalex.org/W2750618916","doi":"https://doi.org/10.1007/978-3-319-66179-7_53","title":"Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning","display_name":"Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2750618916","doi":"https://doi.org/10.1007/978-3-319-66179-7_53","mag":"2750618916"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-66179-7_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-66179-7_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.10201","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dhritiman Das","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129213","display_name":"gec-co Global Engineering & Consulting (Germany)","ror":"https://ror.org/03jp18535","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210129213"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dhritiman Das","raw_affiliation_strings":["Department of Computer Science, Technical University of Munich, Munich, Germany","GE Global Research Europe, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"GE Global Research Europe, Munich, Germany","institution_ids":["https://openalex.org/I4210129213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eduardo Coello","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I4210129213","display_name":"gec-co Global Engineering & Consulting (Germany)","ror":"https://ror.org/03jp18535","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210129213"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eduardo Coello","raw_affiliation_strings":["Department of Physics, Technical University of Munich, Munich, Germany","GE Global Research Europe, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Physics, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"GE Global Research Europe, Munich, Germany","institution_ids":["https://openalex.org/I4210129213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rolf F. Schulte","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129213","display_name":"gec-co Global Engineering & Consulting (Germany)","ror":"https://ror.org/03jp18535","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210129213"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rolf F. Schulte","raw_affiliation_strings":["GE Global Research Europe, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"GE Global Research Europe, Munich, Germany","institution_ids":["https://openalex.org/I4210129213"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bjoern H. Menze","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjoern H. Menze","raw_affiliation_strings":["Department of Computer Science, Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210129213","https://openalex.org/I62916508"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":5.7355,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96398104,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"462","last_page":"470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9811000227928162,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9811000227928162,"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":0.0038999998942017555,"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"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/random-forest","display_name":"Random forest","score":0.5817999839782715},{"id":"https://openalex.org/keywords/metabolite","display_name":"Metabolite","score":0.5501000285148621},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.446399986743927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4424999952316284},{"id":"https://openalex.org/keywords/magnetic-resonance-spectroscopic-imaging","display_name":"Magnetic resonance spectroscopic imaging","score":0.40549999475479126},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.39480000734329224},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.3937999904155731},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3896999955177307},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.3418000042438507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175999879837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6847000122070312},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5817999839782715},{"id":"https://openalex.org/C2777477808","wikidata":"https://www.wikidata.org/wiki/Q407595","display_name":"Metabolite","level":2,"score":0.5501000285148621},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45159998536109924},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.446399986743927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.42980000376701355},{"id":"https://openalex.org/C96781048","wikidata":"https://www.wikidata.org/wiki/Q6731601","display_name":"Magnetic resonance spectroscopic imaging","level":3,"score":0.40549999475479126},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.39480000734329224},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3425999879837036},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26899999380111694},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C103191249","wikidata":"https://www.wikidata.org/wiki/Q624073","display_name":"In vivo magnetic resonance spectroscopy","level":3,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-66179-7_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-66179-7_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:1805.10201","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.10201","pdf_url":"https://arxiv.org/pdf/1805.10201","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.10201","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.10201","pdf_url":"https://arxiv.org/pdf/1805.10201","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1904775645","https://openalex.org/W2038979894","https://openalex.org/W2049106480","https://openalex.org/W2062229924","https://openalex.org/W2149746172","https://openalex.org/W2151517911","https://openalex.org/W2754059241","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2411924054","https://openalex.org/W2519468814","https://openalex.org/W4210317078","https://openalex.org/W2429670001","https://openalex.org/W2167937234","https://openalex.org/W111035113","https://openalex.org/W2327612565","https://openalex.org/W1171800590","https://openalex.org/W2315052252"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2017-09-15T00:00:00"}
