{"id":"https://openalex.org/W7126023732","doi":"https://doi.org/10.1109/bibm66473.2025.11357067","title":"CRAVS-Net: Complex Residual Attention-Based Variable Splitting Network for Accelerated p-MRI","display_name":"CRAVS-Net: Complex Residual Attention-Based Variable Splitting Network for Accelerated p-MRI","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126023732","doi":"https://doi.org/10.1109/bibm66473.2025.11357067"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11357067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124243702","display_name":"Yuwen Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuwen Fu","raw_affiliation_strings":["School of Systems Engineering, National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"School of Systems Engineering, National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054118560","display_name":"Xuehu Duan","orcid":"https://orcid.org/0009-0000-1673-519X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehu Duan","raw_affiliation_strings":["School of Systems Engineering, National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"School of Systems Engineering, National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124222482","display_name":"Qinghao Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghao Meng","raw_affiliation_strings":["School of Systems Engineering, National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"School of Systems Engineering, National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124220109","display_name":"Jun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["School of Systems Engineering, National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"School of Systems Engineering, National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5124243702"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73276997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1649","last_page":"1654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.8450999855995178,"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":0.8450999855995178,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.018400000408291817,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.01679999940097332,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7598999738693237},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5486999750137329},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5141000151634216},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49149999022483826},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4417000114917755},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4325000047683716},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38530001044273376}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7598999738693237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.618399977684021},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5486999750137329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5403000116348267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.527400016784668},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5141000151634216},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49149999022483826},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4417000114917755},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4325000047683716},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42489999532699585},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38530001044273376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.3774000108242035},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.31360000371932983},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.3124000132083893},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2578999996185303},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25450000166893005},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11357067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.484480082988739,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2029816571","https://openalex.org/W2101675075","https://openalex.org/W2194775991","https://openalex.org/W2594014149","https://openalex.org/W2604388535","https://openalex.org/W2778924750","https://openalex.org/W2795380527","https://openalex.org/W2962734274","https://openalex.org/W2979793468","https://openalex.org/W2996290406","https://openalex.org/W3092530614","https://openalex.org/W3202833871","https://openalex.org/W4244393449","https://openalex.org/W4294975511","https://openalex.org/W4385245566","https://openalex.org/W4390971065","https://openalex.org/W4402643263","https://openalex.org/W4402715928","https://openalex.org/W4403712128"],"related_works":[],"abstract_inverted_index":{"Magnetic":[0],"Resonance":[1],"Imaging":[2],"(MRI)":[3],"is":[4],"widely":[5],"used":[6],"in":[7,115],"medical":[8],"diagnosis":[9],"due":[10],"to":[11,15,64,87],"its":[12,20,37],"excellent":[13],"ability":[14],"image":[16],"soft":[17],"tissues.":[18],"However,":[19],"scanning":[21],"process":[22],"suffers":[23],"from":[24,71],"issues":[25],"such":[26],"as":[27],"long":[28],"imaging":[29],"times":[30],"and":[31,68,79,95,119,121,126],"slow":[32],"reconstruction":[33,50,124],"speeds,":[34],"which":[35],"limit":[36],"clinical":[38],"efficiency.":[39],"To":[40],"address":[41],"these":[42],"limitations,":[43],"we":[44],"propose":[45],"a":[46,75,80],"novel":[47],"accelerated":[48],"MRI":[49,72],"method,":[51],"termed":[52],"CRAVS-Net.":[53],"This":[54],"method":[55],"combines":[56],"complex":[57],"residual":[58,77],"modeling":[59,90],"with":[60],"multihead":[61],"attention":[62,82],"mechanisms":[63],"effectively":[65],"integrate":[66],"amplitude":[67],"phase":[69],"information":[70],"images.":[73],"Additionally,":[74],"multistage":[76],"structure":[78],"channel":[81],"fusion":[83],"module":[84],"are":[85],"introduced":[86],"enhance":[88],"the":[89,96,104],"depth":[91],"of":[92,98,117],"multi-channel":[93],"features":[94],"utilization":[97],"cross-scale":[99],"contextual":[100],"information.":[101],"Experiments":[102],"on":[103],"NYU":[105],"knee":[106],"dataset":[107],"demonstrate":[108],"that":[109],"CRAVSNet":[110],"outperforms":[111],"existing":[112],"state-of-the-art":[113],"approaches":[114],"terms":[116],"SSIM":[118],"PSNR,":[120],"exhibits":[122],"robust":[123],"performance":[125],"strong":[127],"generalization":[128],"ability.":[129]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}