{"id":"https://openalex.org/W2027798120","doi":"https://doi.org/10.1109/isbi.2014.6868038","title":"Improving magnetic resonance resolution with supervised learning","display_name":"Improving magnetic resonance resolution with supervised learning","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2027798120","doi":"https://doi.org/10.1109/isbi.2014.6868038","mag":"2027798120","pmid":"https://pubmed.ncbi.nlm.nih.gov/25405001"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6868038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5020724249","display_name":"Amod Jog","orcid":"https://orcid.org/0000-0001-6759-2934"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amod Jog","raw_affiliation_strings":["Image Analysis and Communications Laboratory, The Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Image Analysis and Communications Laboratory, The Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075622613","display_name":"Aaron Carass","orcid":"https://orcid.org/0000-0003-4939-5085"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Carass","raw_affiliation_strings":["Image Analysis and Communications Laboratory, The Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Image Analysis and Communications Laboratory, The Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066682675","display_name":"Jerry L. Prince","orcid":"https://orcid.org/0000-0002-6553-0876"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jerry L. Prince","raw_affiliation_strings":["Image Analysis and Communications Laboratory, The Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Image Analysis and Communications Laboratory, The Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020724249"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":3.2197,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.90922346,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2014","issue":null,"first_page":"987","last_page":"990"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9995999932289124,"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":0.9975000023841858,"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/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.6331561803817749},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.6284396648406982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5474082827568054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5327147841453552},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5150639414787292},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4319643974304199},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.4319440424442291},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.42815402150154114},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.35561037063598633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33801183104515076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33069470524787903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2655060887336731},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21672123670578003},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1267964243888855},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09671327471733093},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09464377164840698}],"concepts":[{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6331561803817749},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.6284396648406982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5474082827568054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5327147841453552},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5150639414787292},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4319643974304199},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.4319440424442291},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.42815402150154114},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.35561037063598633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33801183104515076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33069470524787903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2655060887336731},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21672123670578003},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1267964243888855},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09671327471733093},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09464377164840698}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2014.6868038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:25405001","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25405001","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":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:europepmc.org:3201580","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4232937","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2526871","https://openalex.org/W135833206","https://openalex.org/W196933601","https://openalex.org/W1535052161","https://openalex.org/W1979775925","https://openalex.org/W1984743125","https://openalex.org/W1985806826","https://openalex.org/W2003863798","https://openalex.org/W2009647686","https://openalex.org/W2017429172","https://openalex.org/W2052288235","https://openalex.org/W2088972730","https://openalex.org/W2097307151","https://openalex.org/W2107384509","https://openalex.org/W2125704842","https://openalex.org/W2140804420","https://openalex.org/W2140854449","https://openalex.org/W2295477204","https://openalex.org/W2330820318","https://openalex.org/W2915055193","https://openalex.org/W4212883601","https://openalex.org/W6600093688","https://openalex.org/W6672755485"],"related_works":["https://openalex.org/W2794789911","https://openalex.org/W4298134547","https://openalex.org/W2417440389","https://openalex.org/W2122976425","https://openalex.org/W4244157427","https://openalex.org/W2143529858","https://openalex.org/W4367590696","https://openalex.org/W4292594758","https://openalex.org/W2358774654","https://openalex.org/W2906353151"],"abstract_inverted_index":{"Despite":[0],"ongoing":[1],"improvements":[2],"in":[3,82,112],"magnetic":[4],"resonance":[5],"(MR)":[6],"imaging":[7],"(MRI),":[8],"considerable":[9],"clinical":[10],"and,":[11],"to":[12,76,91,100],"a":[13],"lesser":[14],"extent,":[15],"research":[16],"data":[17,81],"is":[18,38,98],"acquired":[19,56],"at":[20],"lower":[21],"resolutions.":[22],"For":[23],"example":[24],"1":[25],"mm":[26,62],"isotropic":[27],"acquisition":[28],"of":[29,44,60,66,105,109],"<i>T</i><sub>1</sub>-weighted":[30],"(<i>T</i><sub>1</sub>-w)":[31],"Magnetization":[32],"Prepared":[33],"Rapid":[34],"Gradient":[35],"Echo":[36],"(MPRAGE)":[37],"standard":[39],"practice,":[40],"however":[41],"<i>T</i><sub>2</sub>-weighted":[42],"(<i>T</i><sub>2</sub>-w)-because":[43],"its":[45],"longer":[46,51],"relaxation":[47],"times":[48],"(and":[49],"thus":[50],"scan":[52],"time)-is":[53],"still":[54],"routinely":[55],"with":[57],"slice":[58],"thicknesses":[59],"2-5":[61],"and":[63,79,122],"in-plane":[64],"resolution":[65,94],"2-3":[67],"mm.":[68],"This":[69],"creates":[70],"obvious":[71],"fundamental":[72],"problems":[73],"when":[74],"trying":[75],"process":[77],"<i>T</i><sub>1</sub>-w":[78],"<i>T</i><sub>2</sub>-w":[80],"concert.":[83],"We":[84,117],"present":[85,118],"an":[86],"automated":[87],"supervised":[88],"learning":[89],"algorithm":[90],"generate":[92],"high":[93],"data.":[95],"The":[96],"framework":[97],"similar":[99],"the":[101,126],"brain":[102],"hallucination":[103],"work":[104],"Rousseau,":[106],"taking":[107],"advantage":[108],"new":[110],"developments":[111],"regression":[113],"based":[114],"image":[115],"reconstruction.":[116],"validation":[119],"on":[120],"phantom":[121],"real":[123],"data,":[124],"demonstrating":[125],"improvement":[127],"over":[128],"state-of-the-art":[129],"super-resolution":[130],"techniques.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}