{"id":"https://openalex.org/W2895259418","doi":"https://doi.org/10.1109/access.2018.2873484","title":"Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement","display_name":"Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2895259418","doi":"https://doi.org/10.1109/access.2018.2873484","mag":"2895259418"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2873484","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2873484","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2873484","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101747100","display_name":"Zheng Hong","orcid":"https://orcid.org/0000-0003-2850-2056"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Zheng","raw_affiliation_strings":["Key Laboratory of Intelligent Processing of Image and Graphics, School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Processing of Image and Graphics, School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021459831","display_name":"Kun Zeng","orcid":"https://orcid.org/0000-0002-6713-2871"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zeng","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063573457","display_name":"Di Guo","orcid":"https://orcid.org/0000-0002-9910-5720"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Guo","raw_affiliation_strings":["School of Computer and Information Engineering, Fujian Provincial University Key Laboratory of Internet of Things Application Technology, Xiamen University of Technology, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Fujian Provincial University Key Laboratory of Internet of Things Application Technology, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088040610","display_name":"Jiaxi Ying","orcid":"https://orcid.org/0000-0003-2102-6683"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxi Ying","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101784801","display_name":"Yu Yang","orcid":"https://orcid.org/0000-0002-5514-455X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101622048","display_name":"Xi Peng","orcid":"https://orcid.org/0000-0003-1898-9964"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Peng","raw_affiliation_strings":["Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103543533","display_name":"Feng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Huang","raw_affiliation_strings":["Neusoft Medical System, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Neusoft Medical System, Shanghai, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430408","display_name":"Zhong Chen","orcid":"https://orcid.org/0000-0002-1473-2224"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Chen","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062309027","display_name":"Xiaobo Qu","orcid":"https://orcid.org/0000-0002-8675-5820"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Qu","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, College of Physical Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101747100"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.2981,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.91704867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"57856","last_page":"57867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.998199999332428,"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":0.9977999925613403,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6864447593688965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6343513131141663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6162986755371094},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6067829132080078},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5831973552703857},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5743252635002136},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5366321206092834},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.5339727401733398},{"id":"https://openalex.org/keywords/sub-pixel-resolution","display_name":"Sub-pixel resolution","score":0.49965953826904297},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.49499982595443726},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4451368451118469},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.439665824174881},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4143831431865692},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.410106897354126},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3585640490055084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34090226888656616},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.31688618659973145},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.1984238624572754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14828142523765564},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.14631327986717224}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6864447593688965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6343513131141663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6162986755371094},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6067829132080078},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5831973552703857},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5743252635002136},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5366321206092834},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.5339727401733398},{"id":"https://openalex.org/C152363868","wikidata":"https://www.wikidata.org/wiki/Q7630627","display_name":"Sub-pixel resolution","level":5,"score":0.49965953826904297},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.49499982595443726},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4451368451118469},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.439665824174881},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4143831431865692},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.410106897354126},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3585640490055084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34090226888656616},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.31688618659973145},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.1984238624572754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14828142523765564},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.14631327986717224},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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":2,"locations":[{"id":"doi:10.1109/access.2018.2873484","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2873484","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:94f2fba0a9314f94b78488e7e718f3bb","is_oa":true,"landing_page_url":"https://doaj.org/article/94f2fba0a9314f94b78488e7e718f3bb","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 57856-57867 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2873484","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2873484","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2867611411","display_name":null,"funder_award_id":"61672335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3175536783","display_name":null,"funder_award_id":"2016J05205","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G4295220613","display_name":null,"funder_award_id":"20720180056","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7578747682","display_name":null,"funder_award_id":"2018J06018","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G7934993622","display_name":null,"funder_award_id":"61571380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8139786028","display_name":null,"funder_award_id":"61811530021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G852543961","display_name":null,"funder_award_id":"61871341","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G89043034","display_name":null,"funder_award_id":"61601389","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8984937464","display_name":null,"funder_award_id":"U1632274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W783608400","https://openalex.org/W1452996403","https://openalex.org/W1891734390","https://openalex.org/W1964600057","https://openalex.org/W1983793191","https://openalex.org/W1985806826","https://openalex.org/W1994383327","https://openalex.org/W2003863798","https://openalex.org/W2008567145","https://openalex.org/W2016598597","https://openalex.org/W2017429172","https://openalex.org/W2034039863","https://openalex.org/W2038323587","https://openalex.org/W2052288235","https://openalex.org/W2057328741","https://openalex.org/W2059784307","https://openalex.org/W2073660032","https://openalex.org/W2085645375","https://openalex.org/W2092377508","https://openalex.org/W2093008421","https://openalex.org/W2093621384","https://openalex.org/W2101675075","https://openalex.org/W2133665775","https://openalex.org/W2140878114","https://openalex.org/W2141168890","https://openalex.org/W2154250199","https://openalex.org/W2157466038","https://openalex.org/W2187351272","https://openalex.org/W2191349405","https://openalex.org/W2418377058","https://openalex.org/W2572967103","https://openalex.org/W2581386739","https://openalex.org/W2738302492","https://openalex.org/W2740695748","https://openalex.org/W2751748841","https://openalex.org/W2766610223","https://openalex.org/W2915055193","https://openalex.org/W2963334250","https://openalex.org/W2963793388","https://openalex.org/W4237394150","https://openalex.org/W6758938977"],"related_works":["https://openalex.org/W2344831632","https://openalex.org/W2368323222","https://openalex.org/W2353106874","https://openalex.org/W3080267150","https://openalex.org/W4293253204","https://openalex.org/W4385543058","https://openalex.org/W2998746225","https://openalex.org/W2155516094","https://openalex.org/W2995582197","https://openalex.org/W1996797998"],"abstract_inverted_index":{"In":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(MRI),":[4],"the":[5,31,45,102,108,134,143,155,166,183],"super-resolution":[6,137],"technology":[7],"has":[8],"played":[9],"a":[10,50,57,69,89,151],"great":[11],"role":[12],"in":[13,49,161,188],"improving":[14],"image":[15,71,80,104,109,159,163,168],"quality.":[16,110],"The":[17,77,111,139],"aim":[18],"of":[19,26,34,60,79,142,185],"this":[20,178],"paper":[21],"is":[22,82,99,114,147,174],"to":[23,43,55,67,84,101,105],"improve":[24],"edges":[25,160],"brain":[27,120],"MRI":[28,121,145,162,167,190,205],"by":[29,180],"incorporating":[30],"gradient":[32,47,61,140,186],"information":[33,141],"another":[35],"contrast":[36,65],"high-resolution":[37,70],"image.":[38,93],"Multi-contrast":[39],"images":[40,66,122,146],"are":[41],"assumed":[42],"possess":[44],"same":[46],"direction":[48],"local":[51],"pattern.":[52],"We":[53,176],"proposed":[54,156],"establish":[56],"relation":[58,153,184,198],"model":[59,199],"value":[62,187],"between":[63],"different":[64],"restore":[68],"from":[72,170],"its":[73],"input":[74],"low-resolution":[75,172],"version.":[76],"similarity":[78],"patches":[81],"employed":[83],"estimate":[85],"intensity":[86],"parameters,":[87],"leading":[88],"more":[90],"accurate":[91],"reconstructed":[92,103],"Then,":[94],"an":[95],"iterative":[96],"back-projection":[97],"filter":[98],"applied":[100],"further":[106],"increase":[107],"new":[112],"approach":[113],"verified":[115],"on":[116],"synthetic":[117],"and":[118,123,128,191],"real":[119],"achieves":[124],"higher":[125,129],"visual":[126],"quality":[127,131],"objective":[130],"criteria":[132],"than":[133],"compared":[135],"state-of-the-art":[136],"approaches.":[138],"multi-contrast":[144,189],"very":[148,171],"useful.":[149],"With":[150],"proper":[152],"model,":[154],"method":[157],"enhances":[158],"super-resolution.":[164],"Improving":[165],"resolution":[169],"observations":[173],"challenging.":[175],"tackle":[177],"problem":[179],"first":[181],"modeling":[182],"then":[192],"performing":[193],"fast":[194],"supper-resolution":[195],"methods.":[196],"This":[197],"may":[200],"be":[201],"helpful":[202],"for":[203],"other":[204],"reconstruction":[206],"problems.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
