{"id":"https://openalex.org/W4310557311","doi":"https://doi.org/10.1109/jbhi.2022.3223106","title":"An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation","display_name":"An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation","publication_year":2022,"publication_date":"2022-11-18","ids":{"openalex":"https://openalex.org/W4310557311","doi":"https://doi.org/10.1109/jbhi.2022.3223106","pmid":"https://pubmed.ncbi.nlm.nih.gov/37022393"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3223106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3223106","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-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/A5048171551","display_name":"Qing Wu","orcid":"https://orcid.org/0000-0001-9320-0332"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Wu","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China","Shanghai Advanced Research Institute, Chinese Academy of Sciences, and University of Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9320-0332","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, and University of Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115597353","display_name":"Yuwei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Li","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079702840","display_name":"Yawen Sun","orcid":"https://orcid.org/0000-0002-0811-8105"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawen Sun","raw_affiliation_strings":["Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050974013","display_name":"Yan Zhou","orcid":"https://orcid.org/0000-0002-1659-1672"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhou","raw_affiliation_strings":["Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058095576","display_name":"Hongjiang Wei","orcid":"https://orcid.org/0000-0002-9060-4152"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjiang Wei","raw_affiliation_strings":["School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9060-4152","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500646","display_name":"Jingyi Yu","orcid":"https://orcid.org/0000-0001-9198-6853"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Yu","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9198-6853","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654429","display_name":"Yuyao Zhang","orcid":"https://orcid.org/0000-0001-6706-4867"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyao Zhang","raw_affiliation_strings":["School of Information Science and Technology and iHuman Institute, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6706-4867","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and iHuman Institute, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048171551"],"corresponding_institution_ids":["https://openalex.org/I30809798","https://openalex.org/I4210111959","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":8.3674,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.98500128,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"27","issue":"2","first_page":"1004","last_page":"1015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.6336920857429504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5712785124778748},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5634248852729797},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49353015422821045},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46915045380592346},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4148534834384918},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3926297128200531},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11007153987884521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6336920857429504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712785124778748},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5634248852729797},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49353015422821045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46915045380592346},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4148534834384918},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3926297128200531},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11007153987884521},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"D000465","descriptor_name":"Algorithms","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D006262","descriptor_name":"Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006262","descriptor_name":"Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006262","descriptor_name":"Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006262","descriptor_name":"Health","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"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":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000592","qualifier_name":"standards","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":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2022.3223106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3223106","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37022393","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37022393","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G1497813102","display_name":null,"funder_award_id":"91949120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3703025150","display_name":null,"funder_award_id":"62071299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5293694658","display_name":null,"funder_award_id":"81901693","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7357991881","display_name":null,"funder_award_id":"61901256","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1885185971","https://openalex.org/W2024729467","https://openalex.org/W2056189002","https://openalex.org/W2103559027","https://openalex.org/W2112024783","https://openalex.org/W2117644767","https://openalex.org/W2132710243","https://openalex.org/W2133665775","https://openalex.org/W2157466038","https://openalex.org/W2187351272","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2581386739","https://openalex.org/W2607041014","https://openalex.org/W2709402577","https://openalex.org/W2782945719","https://openalex.org/W2942080485","https://openalex.org/W2962785568","https://openalex.org/W2962849139","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W2964101377","https://openalex.org/W2964297772","https://openalex.org/W2966737464","https://openalex.org/W2989249732","https://openalex.org/W2992937964","https://openalex.org/W3002349559","https://openalex.org/W3003257820","https://openalex.org/W3009439636","https://openalex.org/W3013529009","https://openalex.org/W3020887200","https://openalex.org/W3035557850","https://openalex.org/W3098848838","https://openalex.org/W3102018640","https://openalex.org/W3109585842","https://openalex.org/W3117476483","https://openalex.org/W3174865552","https://openalex.org/W3176327543","https://openalex.org/W3176368002","https://openalex.org/W3183905093","https://openalex.org/W3202371506","https://openalex.org/W4214731463","https://openalex.org/W6631190155","https://openalex.org/W6633737860","https://openalex.org/W6726381175","https://openalex.org/W6766978945","https://openalex.org/W6774678988","https://openalex.org/W6781421651","https://openalex.org/W6802081399"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2391251536","https://openalex.org/W2793058541","https://openalex.org/W2362198218","https://openalex.org/W1983629434","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220"],"abstract_inverted_index":{"High":[0],"Resolution":[1],"(HR)":[2],"medical":[3],"images":[4,65,170,228],"provide":[5],"rich":[6],"anatomical":[7],"structure":[8],"details":[9],"to":[10,85,146,160,182,220,235,268],"facilitate":[11],"early":[12],"and":[13,27,48,91,128,163,198,210,229],"accurate":[14],"diagnosis.":[15],"In":[16,104,121],"magnetic":[17],"resonance":[18],"imaging":[19],"(MRI),":[20],"restricted":[21],"by":[22],"hardware":[23],"capacity,":[24],"scan":[25,40],"time,":[26],"patient":[28],"cooperation":[29],"ability,":[30],"isotropic":[31,62],"3-dimensional":[32],"(3D)":[33],"HR":[34,63,92,118,130,169,197,258],"image":[35,75,127,131,260],"acquisition":[36],"typically":[37],"requests":[38],"long":[39],"time":[41],"and,":[42],"results":[43,242],"in":[44],"small":[45],"spatial":[46],"coverage":[47],"low":[49],"signal-to-noise":[50],"ratio":[51],"(SNR).":[52],"Recent":[53],"studies":[54],"showed":[55],"that,":[56],"with":[57,100,141],"deep":[58,189],"convolutional":[59,216],"neural":[60,138,190],"networks,":[61],"MR":[64,119,259],"could":[66],"be":[67],"recovered":[68],"from":[69,171,192,224],"low-resolution":[70],"(LR)":[71],"input":[72,173,227],"via":[73,188],"single":[74,155,265],"super-resolution":[76],"(SISR)":[77],"algorithms.":[78],"However,":[79],"most":[80],"existing":[81],"SISR":[82],"methods":[83,96],"tend":[84],"approach":[86,114,183],"scale-specific":[87],"projection":[88],"between":[89],"LR":[90,126,174,199,226],"images,":[93],"thus":[94],"these":[95],"can":[97,251],"only":[98],"deal":[99],"fixed":[101],"up-sampling":[102,165,271],"rates.":[103,144],"this":[105],"paper,":[106],"we":[107],"propose":[108],"ArSSR,":[109],"an":[110,207],"Arbitrary":[111],"Scale":[112],"Super-Resolution":[113],"for":[115,256],"recovering":[116],"3D":[117,257],"images.":[120],"the":[122,125,129,135,147,150,177,184,215,225,230,237,248],"ArSSR":[123,156,203,249],"model,":[124],"are":[132],"represented":[133],"using":[134,263],"same":[136],"implicit":[137,152,185,238],"voxel":[139,186,239],"function":[140,187],"different":[142],"sampling":[143],"Due":[145],"continuity":[148],"of":[149,168,195,206],"learned":[151],"function,":[153],"a":[154,193,211,264],"model":[157,204,250,267],"is":[158,180,219,234],"able":[159],"achieve":[161,252,269],"arbitrary":[162,270],"infinite":[164],"rate":[166],"reconstructions":[167],"any":[172],"image.":[175],"Then":[176],"SR":[178,254],"task":[179],"converted":[181],"networks":[191],"set":[194],"paired":[196],"training":[200],"examples.":[201],"The":[202],"consists":[205],"encoder":[208,217],"network":[209,218,233],"decoder":[212,232],"network.":[213],"Specifically,":[214],"extract":[221],"feature":[222],"maps":[223],"fully-connected":[231],"approximate":[236],"function.":[240],"Experimental":[241],"on":[243],"three":[244],"datasets":[245],"show":[246],"that":[247],"state-of-the-art":[253],"performance":[255],"reconstruction":[261],"while":[262],"trained":[266],"scales.":[272]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}