{"id":"https://openalex.org/W2087633594","doi":"https://doi.org/10.1109/embc.2013.6609692","title":"On high-resolution image estimation using low-resolution brain MRI","display_name":"On high-resolution image estimation using low-resolution brain MRI","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2087633594","doi":"https://doi.org/10.1109/embc.2013.6609692","mag":"2087633594","pmid":"https://pubmed.ncbi.nlm.nih.gov/24109879"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2013.6609692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","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/A5045707906","display_name":"Fran\u00e7ois Rousseau","orcid":"https://orcid.org/0000-0001-9837-7487"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100283","display_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","ror":"https://ror.org/00k4e5n71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2801509770","https://openalex.org/I4210095849","https://openalex.org/I4210100283","https://openalex.org/I4210159245","https://openalex.org/I68947357"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Francois Rousseau","raw_affiliation_strings":["ICube laboratory, UMR 7357, CNRS, Universit\u00e9 de Strasbourg, Strasbourg, France","ICube Lab., Univ. de Strasbourg, Strasbourg, France"],"affiliations":[{"raw_affiliation_string":"ICube laboratory, UMR 7357, CNRS, Universit\u00e9 de Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ICube Lab., Univ. de Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I4210100283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104652520","display_name":"Daniel Gounot","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100283","display_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","ror":"https://ror.org/00k4e5n71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2801509770","https://openalex.org/I4210095849","https://openalex.org/I4210100283","https://openalex.org/I4210159245","https://openalex.org/I68947357"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Daniel Gounot","raw_affiliation_strings":["ICube laboratory, UMR 7357, CNRS, Universit\u00e9 de Strasbourg, Strasbourg, France","ICube Lab., Univ. de Strasbourg, Strasbourg, France"],"affiliations":[{"raw_affiliation_string":"ICube laboratory, UMR 7357, CNRS, Universit\u00e9 de Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ICube Lab., Univ. de Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I4210100283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029437650","display_name":"Colin Studholme","orcid":"https://orcid.org/0000-0001-8683-6906"},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colin Studholme","raw_affiliation_strings":["Departments of Pediatrics and Bioengineering, University of Washington, Seattle, USA","Depts. of Pediatrics & Bioeng., Univ. of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Departments of Pediatrics and Bioengineering, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]},{"raw_affiliation_string":"Depts. of Pediatrics & Bioeng., Univ. of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045707906"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210100283","https://openalex.org/I68947357"],"apc_list":null,"apc_paid":null,"fwci":0.52802869,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71086563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2013","issue":null,"first_page":"1081","last_page":"1084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7233468890190125},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7214571237564087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6845608353614807},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6513063311576843},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6025705337524414},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5666928291320801},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5552604794502258},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5030271410942078},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4787658751010895},{"id":"https://openalex.org/keywords/sub-pixel-resolution","display_name":"Sub-pixel resolution","score":0.47136250138282776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4461039900779724},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4265488088130951},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41979682445526123},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4145136773586273},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4112902879714966},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.3074934482574463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233468890190125},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7214571237564087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6845608353614807},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6513063311576843},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6025705337524414},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5666928291320801},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5552604794502258},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5030271410942078},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4787658751010895},{"id":"https://openalex.org/C152363868","wikidata":"https://www.wikidata.org/wiki/Q7630627","display_name":"Sub-pixel resolution","level":5,"score":0.47136250138282776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4461039900779724},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4265488088130951},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41979682445526123},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4145136773586273},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4112902879714966},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.3074934482574463},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","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":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","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":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","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":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2013.6609692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:24109879","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24109879","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W19650018","https://openalex.org/W1582236847","https://openalex.org/W1982011685","https://openalex.org/W1985806826","https://openalex.org/W2007866395","https://openalex.org/W2014940628","https://openalex.org/W2052288235","https://openalex.org/W2064415765","https://openalex.org/W2067844182","https://openalex.org/W2085645375","https://openalex.org/W2099470017","https://openalex.org/W2103578331","https://openalex.org/W2105910985","https://openalex.org/W2114740909","https://openalex.org/W2117340355","https://openalex.org/W2134584543","https://openalex.org/W2140257560","https://openalex.org/W2142592339","https://openalex.org/W2157466038","https://openalex.org/W4237080328"],"related_works":["https://openalex.org/W2397288865","https://openalex.org/W2368524271","https://openalex.org/W2576709312","https://openalex.org/W2079402751","https://openalex.org/W2392797073","https://openalex.org/W2989490741","https://openalex.org/W2538262937","https://openalex.org/W2036328806","https://openalex.org/W2087395746","https://openalex.org/W2185060837"],"abstract_inverted_index":{"In":[0,46],"the":[1,16,28,30,87,106],"context":[2],"of":[3,32,35],"medical":[4],"imaging,":[5],"super-resolution":[6],"(SR)":[7],"is":[8,101],"currently":[9],"a":[10,38],"promising":[11],"post-processing":[12],"technique":[13],"to":[14,75],"increase":[15],"image":[17,51,71,83,92],"resolution.":[18],"However,":[19],"although":[20],"many":[21],"SR":[22,55,108],"methods":[23],"have":[24],"been":[25,43],"proposed":[26],"in":[27,37],"literature,":[29],"gain":[31],"this":[33,47],"type":[34],"approach":[36],"real":[39],"situation":[40],"has":[41],"not":[42],"precisely":[44],"quantified.":[45],"work,":[48],"we":[49],"evaluate":[50],"acquisition":[52,72],"protocols":[53,73],"and":[54,94],"algorithms":[56],"using":[57,69],"in-vivo":[58],"brain":[59],"MR":[60],"data":[61],"as":[62,91],"gold":[63],"standard.":[64],"The":[65],"results":[66],"show":[67],"that":[68],"orthogonal":[70],"lead":[74],"better":[76],"reconstructed":[77],"images":[78],"than":[79],"overlapping":[80],"parallel":[81],"low-resolution":[82],"stacks.":[84],"Moreover,":[85],"if":[86],"preprocessing":[88],"steps":[89],"(such":[90],"denoising":[93],"intensity":[95],"correction)":[96],"are":[97],"carefully":[98],"performed,":[99],"there":[100],"no":[102],"significant":[103],"differences":[104],"between":[105],"evaluated":[107],"algorithms.":[109]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}