{"id":"https://openalex.org/W4390493636","doi":"https://doi.org/10.1109/cisp-bmei60920.2023.10373336","title":"Accelerating MR Thermometry by Complex Fully Convolutional Network","display_name":"Accelerating MR Thermometry by Complex Fully Convolutional Network","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4390493636","doi":"https://doi.org/10.1109/cisp-bmei60920.2023.10373336"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei60920.2023.10373336","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cisp-bmei60920.2023.10373336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"article","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/A5088838616","display_name":"Sijie Xu","orcid":null},"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":true,"raw_author_name":"Sijie Xu","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China","School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100308133","display_name":"Yueran Zhao","orcid":"https://orcid.org/0009-0008-2067-7840"},"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":"Yueran Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China","School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032527445","display_name":"Shenyan Zong","orcid":"https://orcid.org/0000-0002-4263-4947"},"institutions":[{"id":"https://openalex.org/I4210164150","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":"https://ror.org/0551a0y31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210164150"]},{"id":"https://openalex.org/I4210085920","display_name":"Shanghai Institute for Science of Science","ror":"https://ror.org/004srxn73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210085920"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenyan Zong","raw_affiliation_strings":["Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University,Shanghai,China,200433","institution_ids":["https://openalex.org/I4210164150","https://openalex.org/I4210085920","https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113824425","display_name":"Guofeng Shen","orcid":null},"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":"Guofeng Shen","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China","School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088838616"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18214736,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9990000128746033,"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/T11861","display_name":"Thermal Regulation in Medicine","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"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/computer-science","display_name":"Computer science","score":0.6865584850311279},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6819168925285339},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5822004079818726},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5206691026687622},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.48873281478881836},{"id":"https://openalex.org/keywords/temperature-measurement","display_name":"Temperature measurement","score":0.45549094676971436},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4491625726222992},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4459291398525238},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4440491199493408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4301604628562927},{"id":"https://openalex.org/keywords/complex-system","display_name":"Complex system","score":0.4100416302680969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4053926467895508},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18641886115074158},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11355388164520264},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08818316459655762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865584850311279},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6819168925285339},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5822004079818726},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5206691026687622},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.48873281478881836},{"id":"https://openalex.org/C72293138","wikidata":"https://www.wikidata.org/wiki/Q909741","display_name":"Temperature measurement","level":2,"score":0.45549094676971436},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4491625726222992},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4459291398525238},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4440491199493408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4301604628562927},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.4100416302680969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4053926467895508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18641886115074158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11355388164520264},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08818316459655762},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei60920.2023.10373336","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cisp-bmei60920.2023.10373336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2029816571","https://openalex.org/W2085231482","https://openalex.org/W2151811928","https://openalex.org/W2622349108","https://openalex.org/W2836501717","https://openalex.org/W3004715589","https://openalex.org/W3137984567","https://openalex.org/W3157723514","https://openalex.org/W4283213903","https://openalex.org/W4298289240","https://openalex.org/W6637568146","https://openalex.org/W6738884980"],"related_works":["https://openalex.org/W4384518057","https://openalex.org/W2463678424","https://openalex.org/W2998631301","https://openalex.org/W2035028906","https://openalex.org/W2011948643","https://openalex.org/W2395847801","https://openalex.org/W2046390638","https://openalex.org/W4205157556","https://openalex.org/W4296474010","https://openalex.org/W4236415300"],"abstract_inverted_index":{"Real-time":[0],"temperature":[1,34,123,152,179,187],"monitoring":[2,35,188],"of":[3,19,25,47,65,98,178],"patients":[4],"using":[5],"MRI":[6,27,49,72],"with":[7,126],"the":[8,15,23,45,62,66,70,92,102,117,127,131,138,169,174],"PRF":[9],"method":[10,129],"is":[11,29],"essential":[12],"for":[13,185],"ensuring":[14],"effectiveness":[16],"and":[17,112,130,176],"safety":[18],"HIFU":[20],"treatment.":[21],"However,":[22,57],"process":[24],"acquiring":[26],"data":[28,68],"slow":[30],"which":[31],"makes":[32],"real-time":[33,186],"seemingly":[36],"impossible.":[37],"Deep":[38],"learning":[39],"methods":[40],"have":[41,168],"recently":[42],"emerged":[43],"in":[44,69,101,122,137,150,189],"field":[46],"accelerating":[48],"image":[50],"reconstruction":[51],"due":[52],"to":[53,171],"their":[54],"outstanding":[55],"performance.":[56],"most":[58],"existing":[59],"algorithms":[60],"disregard":[61],"phase":[63],"information":[64],"complex-valued":[67,99],"original":[71],"k-space,":[73],"as":[74,106],"they":[75],"predominantly":[76],"employ":[77],"real-valued":[78,139],"operations,":[79],"like":[80],"convolutions.":[81],"Consequently,":[82],"this":[83],"paper":[84,118],"introduces":[85],"a":[86,96],"Complex":[87,145],"UNet":[88,133,146],"network":[89,134],"based":[90],"on":[91],"traditional":[93],"UNet,":[94],"incorporating":[95],"range":[97],"operations":[100],"complex":[103,107,109,113,165],"domain,":[104],"such":[105],"convolutions,":[108],"batch":[110],"normalization,":[111],"activation":[114],"functions.":[115],"Furthermore,":[116],"compares":[119],"its":[120],"performance":[121],"measurement":[124],"tasks":[125],"ZF":[128],"Real":[132,160],"that":[135,144,164],"operates":[136],"domain.":[140],"Experimental":[141],"results":[142],"demonstrate":[143],"achieves":[147],"superior":[148],"accuracy":[149,177],"reconstructing":[151],"maps":[153],"while":[154],"utilizing":[155],"considerably":[156],"fewer":[157],"parameters":[158],"than":[159],"UNet.":[161],"This":[162],"indicates":[163],"convolutional":[166],"networks":[167],"potential":[170],"significantly":[172],"enhance":[173],"speed":[175],"measurement,":[180],"making":[181],"them":[182],"highly":[183],"suitable":[184],"clinical":[190],"applications.":[191]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}