{"id":"https://openalex.org/W4205576145","doi":"https://doi.org/10.1145/3503047.3503064","title":"x4 Super-Resolution Analysis of Magnetic Resonance Imaging based on Generative Adversarial Network without Supervised Images","display_name":"x4 Super-Resolution Analysis of Magnetic Resonance Imaging based on Generative Adversarial Network without Supervised Images","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4205576145","doi":"https://doi.org/10.1145/3503047.3503064"},"language":"en","primary_location":{"id":"doi:10.1145/3503047.3503064","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5101823425","display_name":"Yunhe Li","orcid":"https://orcid.org/0000-0002-5386-6727"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhe Li","raw_affiliation_strings":["School of electronic and electrical engineering, Zhaoqing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of electronic and electrical engineering, Zhaoqing University, China","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102017253","display_name":"Huiyan Zhao","orcid":"https://orcid.org/0000-0002-1534-9091"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyan Zhao","raw_affiliation_strings":["School of Electrical Engineering & Information, Northeast Petroleum University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering & Information, Northeast Petroleum University, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374360","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-6709-0942"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["School of electronic and electrical engineering, Zhaoqing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of electronic and electrical engineering, Zhaoqing University, China","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100784213","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0001-8659-4724"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["School of economics and management, Zhaoqing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of economics and management, Zhaoqing University, China","institution_ids":["https://openalex.org/I183816158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19271798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9842000007629395,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.684417724609375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6766065359115601},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.6023110747337341},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5867420434951782},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5483109354972839},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5358162522315979},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5091328024864197},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4838598966598511},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4736917018890381},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.4583300054073334},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42160019278526306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38545823097229004},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3291657567024231},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17395034432411194},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12476709485054016},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11512976884841919}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684417724609375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766065359115601},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6023110747337341},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5867420434951782},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5483109354972839},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5358162522315979},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5091328024864197},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4838598966598511},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4736917018890381},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.4583300054073334},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42160019278526306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38545823097229004},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3291657567024231},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17395034432411194},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12476709485054016},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11512976884841919},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503047.3503064","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2076959472","https://openalex.org/W2136611165","https://openalex.org/W2385563966","https://openalex.org/W2729145866","https://openalex.org/W2735224642","https://openalex.org/W2778924750","https://openalex.org/W2789565832","https://openalex.org/W2891158090","https://openalex.org/W2900954917","https://openalex.org/W2946362479","https://openalex.org/W2956407418","https://openalex.org/W2963372104","https://openalex.org/W3023430735","https://openalex.org/W3210995546","https://openalex.org/W6739824154","https://openalex.org/W6758061364","https://openalex.org/W6921636763","https://openalex.org/W6978221256"],"related_works":["https://openalex.org/W1493568480","https://openalex.org/W2995727521","https://openalex.org/W4385967523","https://openalex.org/W2362774332","https://openalex.org/W2380708104","https://openalex.org/W2294970809","https://openalex.org/W3034355957","https://openalex.org/W3040157893","https://openalex.org/W2005223122","https://openalex.org/W2799135699"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"imaging":[2],"(MRI)":[3],"is":[4,152],"widely":[5],"used":[6],"in":[7,159],"clinical":[8],"medical":[9,66],"auxiliary":[10],"diagnosis.":[11,67],"In":[12],"acquiring":[13],"images":[14,48,73],"by":[15,33,93],"MRI":[16,38,47,62,72,92],"machines,":[17],"patients":[18],"usually":[19],"need":[20],"to":[21,24,55,78,86,115],"be":[22,31],"exposed":[23],"harmful":[25],"radiation.":[26],"The":[27,146],"radiation":[28,80],"dose":[29],"can":[30],"reduced":[32],"reducing":[34],"the":[35,43,57,61,88,116,138],"resolution":[36,89,119],"of":[37,45,60,90,141],"images.":[39],"This":[40,82,108],"paper":[41,83,109],"analyzes":[42],"super-resolution":[44,97],"low-resolution":[46],"based":[49,99,136],"on":[50,100,137],"a":[51,111,131],"deep":[52,101],"learning":[53,102],"algorithm":[54],"ensure":[56],"pixel":[58],"quality":[59,163],"image":[63,120,162],"required":[64],"for":[65],"It":[68],"then":[69],"reconstructs":[70],"high-resolution":[71],"as":[74],"an":[75],"alternative":[76],"method":[77,151],"reduce":[79],"dose.":[81],"studies":[84],"how":[85],"improve":[87],"low-dose":[91],"4":[94],"times":[95],"through":[96,122],"analysis":[98],"technology":[103],"without":[104],"other":[105],"available":[106],"information.":[107],"constructs":[110,130],"data":[112],"set":[113],"close":[114],"natural":[117],"low-high":[118],"pair":[121],"degenerate":[123],"kernel":[124],"estimation":[125],"and":[126,129,144,157],"noise":[127],"injection":[128],"two-layer":[132],"generated":[133],"countermeasure":[134],"network":[135],"design":[139],"ideas":[140],"ESRGAN,":[142],"PatchGAN,":[143],"VGG-19.":[145],"test":[147],"shows":[148],"that":[149],"our":[150],"better":[153],"than":[154],"EDSR,":[155],"RCAN,":[156],"ESRGAN":[158],"comparing":[160],"non-reference":[161],"evaluation":[164],"indexes.":[165]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}