{"id":"https://openalex.org/W4387258388","doi":"https://doi.org/10.1186/s12880-023-01109-z","title":"Improving MR image quality with a multi-task model, using convolutional losses","display_name":"Improving MR image quality with a multi-task model, using convolutional losses","publication_year":2023,"publication_date":"2023-10-02","ids":{"openalex":"https://openalex.org/W4387258388","doi":"https://doi.org/10.1186/s12880-023-01109-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/37784039"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-023-01109-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01109-z","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01109-z","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01109-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079971981","display_name":"Attila Simk\u00f3","orcid":null},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Attila Simk\u00f3","raw_affiliation_strings":["Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden. attila.simko@umu.se","Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden. attila.simko@umu.se","institution_ids":["https://openalex.org/I90267481"]},{"raw_affiliation_string":"Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092986417","display_name":"Simone Ruiter","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Simone Ruiter","raw_affiliation_strings":["Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035857033","display_name":"Tommy L\u00f6fstedt","orcid":"https://orcid.org/0000-0001-7119-7646"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tommy L\u00f6fstedt","raw_affiliation_strings":["Department of Computing Science, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037383942","display_name":"Anders Garpebring","orcid":"https://orcid.org/0000-0002-0532-232X"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Anders Garpebring","raw_affiliation_strings":["Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048584953","display_name":"Tufve Nyholm","orcid":"https://orcid.org/0000-0002-8971-9788"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tufve Nyholm","raw_affiliation_strings":["Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069811142","display_name":"Mikael Bylund","orcid":"https://orcid.org/0000-0001-7539-2262"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Bylund","raw_affiliation_strings":["Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017464151","display_name":"Joakim J\u00f6nsson","orcid":"https://orcid.org/0000-0003-2670-0366"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Joakim Jonsson","raw_affiliation_strings":["Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Sciences, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5079971981"],"corresponding_institution_ids":["https://openalex.org/I90267481"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.2276,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6033148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"23","issue":"1","first_page":"148","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.3066999912261963,"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":0.3066999912261963,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.11969999969005585,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.09290000051259995,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8492996692657471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6858267784118652},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5710619688034058},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5520240068435669},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44747138023376465},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4272172451019287},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37252214550971985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3709145188331604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3511183261871338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8492996692657471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6858267784118652},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5710619688034058},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5520240068435669},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44747138023376465},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4272172451019287},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37252214550971985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3709145188331604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3511183261871338},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12880-023-01109-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01109-z","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01109-z","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:37784039","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37784039","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:DiVA.org:umu-215277","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-215277","pdf_url":"https://umu.diva-portal.org/smash/get/diva2:1805543/FULLTEXT01","source":{"id":"https://openalex.org/S4306400361","display_name":"DiVA at Ume\u00e5 University (Ume\u00e5 University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I90267481","host_organization_name":"Ume\u00e5 University","host_organization_lineage":["https://openalex.org/I90267481"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:10544274","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10544274","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10544274/pdf/12880_2023_Article_1109.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:0c047134c4ed442fa550431ceecaf445","is_oa":true,"landing_page_url":"https://doaj.org/article/0c047134c4ed442fa550431ceecaf445","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":"BMC Medical Imaging, Vol 23, Iss 1, Pp 1-14 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12880-023-01109-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01109-z","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01109-z","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8767225864","display_name":null,"funder_award_id":"LP 18-2182","funder_id":"https://openalex.org/F4320322972","funder_display_name":"Cancer Research Foundation in Northern Sweden"}],"funders":[{"id":"https://openalex.org/F4320322972","display_name":"Cancer Research Foundation in Northern Sweden","ror":"https://ror.org/05kb8h459"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387258388.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1798436414","https://openalex.org/W1812490466","https://openalex.org/W1977524417","https://openalex.org/W2015159529","https://openalex.org/W2046119925","https://openalex.org/W2117340355","https://openalex.org/W2127877311","https://openalex.org/W2131241448","https://openalex.org/W2156992893","https://openalex.org/W2157848968","https://openalex.org/W2158111076","https://openalex.org/W2167343814","https://openalex.org/W2523714292","https://openalex.org/W2590628585","https://openalex.org/W2753305843","https://openalex.org/W2782686167","https://openalex.org/W2795380527","https://openalex.org/W2885398382","https://openalex.org/W2888013437","https://openalex.org/W2941219400","https://openalex.org/W2945147429","https://openalex.org/W2962785568","https://openalex.org/W2963372104","https://openalex.org/W2963682501","https://openalex.org/W2973306787","https://openalex.org/W3003650457","https://openalex.org/W3005867646","https://openalex.org/W3013529009","https://openalex.org/W3049688872","https://openalex.org/W3095034359","https://openalex.org/W3105403262","https://openalex.org/W3114303065","https://openalex.org/W3119151570","https://openalex.org/W3120602170","https://openalex.org/W3141797743","https://openalex.org/W3157723514","https://openalex.org/W3161810785","https://openalex.org/W3196990271","https://openalex.org/W3200290869","https://openalex.org/W4225328514","https://openalex.org/W4308686586","https://openalex.org/W6630364261","https://openalex.org/W6631190155","https://openalex.org/W6751325469","https://openalex.org/W6968719596"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2106540031","https://openalex.org/W2047970610"],"abstract_inverted_index":{"PURPOSE:":[0],"During":[1],"the":[2,21,91,121,127,139,182,194,210,237,283,287],"acquisition":[3],"of":[4,20,87,150,181,196,200,269,286],"MRI":[5,27,266],"data,":[6,301],"patient-,":[7],"sequence-,":[8],"or":[9,174],"hardware-related":[10],"factors":[11],"can":[12],"introduce":[13],"artefacts":[14,76,206,308],"that":[15,114,193,212,280],"degrade":[16],"image":[17,28,49,128,284],"quality.":[18,258],"Four":[19],"most":[22],"significant":[23],"tasks":[24,53],"for":[25,51,72,144,168,221,264],"improving":[26,47],"quality":[29,50,253,285],"have":[30],"been":[31],"bias":[32],"field":[33],"correction,":[34],"super-resolution,":[35],"motion-,":[36],"and":[37,271,302,311,317],"noise":[38],"correction.":[39],"Machine":[40],"learning":[41],"has":[42],"achieved":[43],"outstanding":[44],"results":[45,176],"in":[46,177],"MR":[48],"these":[52],"individually,":[54],"yet":[55],"multi-task":[56,78,224,265],"methods":[57,141,167],"are":[58],"rarely":[59],"explored.":[60],"METHODS:":[61],"In":[62],"this":[63],"study,":[64],"we":[65,108,191],"developed":[66],"a":[67,110,147,154,198,241,252,276],"model":[68,161,227,238,316],"to":[69,98,119,130,203,256],"simultaneously":[70],"correct":[71,204],"all":[73],"four":[74],"aforementioned":[75],"using":[77,146,197,229,248,290],"learning.":[79],"Two":[80],"different":[81],"datasets":[82],"were":[83,96,214,320],"collected,":[84],"one":[85,180],"consisting":[86],"brain":[88],"scans":[89],"while":[90],"other":[92,164],"pelvic":[93,272],"scans,":[94],"which":[95,307],"used":[97,275],"train":[99],"separate":[100],"models,":[101,201],"implementing":[102],"their":[103],"corresponding":[104],"artefact":[105,267],"augmentations.":[106],"Additionally,":[107],"explored":[109],"novel":[111,231,277],"loss":[112,233,278],"function":[113,234,279],"does":[115],"not":[116,218],"only":[117],"aim":[118],"reconstruct":[120],"individual":[122,169,205],"pixel":[123],"values,":[124],"but":[125],"also":[126],"gradients,":[129],"produce":[131],"sharper,":[132],"more":[133],"realistic":[134],"results.":[135],"The":[136,226,294],"difference":[137],"between":[138],"evaluated":[140,247],"was":[142],"tested":[143],"significance":[145],"Friedman":[148],"test":[149],"equivalence":[151],"followed":[152],"by":[153],"Nemenyi":[155],"post-hoc":[156],"test.":[157],"RESULTS:":[158],"Our":[159,314],"proposed":[160,223,315],"generally":[162],"outperformed":[163,236],"commonly-used":[165],"correction":[166,268],"artefacts,":[170,190],"consistently":[171],"achieving":[172],"equal":[173],"superior":[175],"at":[178],"least":[179],"evaluation":[183],"metrics.":[184],"For":[185],"images":[186],"with":[187,240],"multiple":[188],"simultaneous":[189],"show":[192],"performance":[195],"combination":[199],"trained":[202,228,239,261],"depends":[207],"heavily":[208],"on":[209,298],"order":[211],"they":[213],"applied.":[215],"This":[216],"is":[217],"an":[219],"issue":[220],"our":[222,230],"model.":[225],"convolutional":[232],"always":[235],"mean":[242,291],"squared":[243,292],"error":[244],"loss,":[245],"when":[246],"Visual":[249],"Information":[250],"Fidelity,":[251],"metric":[254],"connected":[255],"perceptual":[257],"CONCLUSION:":[259],"We":[260,274],"two":[262],"models":[263],"brain,":[270],"scans.":[273],"significantly":[281],"improves":[282],"outputs":[288],"over":[289],"error.":[293],"approach":[295],"performs":[296],"well":[297],"real":[299],"world":[300],"it":[303,309],"provides":[304],"insight":[305],"into":[306],"detects":[310],"corrects":[312],"for.":[313],"source":[318],"code":[319],"made":[321],"publicly":[322],"available.":[323]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}