{"id":"https://openalex.org/W4406946739","doi":"https://doi.org/10.1109/tip.2025.3533198","title":"USB-Net: Unfolding Split Bregman Method With Multi-Phase Feature Integration for Compressive Imaging","display_name":"USB-Net: Unfolding Split Bregman Method With Multi-Phase Feature Integration for Compressive Imaging","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406946739","doi":"https://doi.org/10.1109/tip.2025.3533198","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031311"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3533198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3533198","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","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/A5013111035","display_name":"Zhen Guo","orcid":"https://orcid.org/0009-0006-7291-695X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210105136","display_name":"Yangtze River Delta Physics Research Center (China)","ror":"https://ror.org/01g53qc72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210105136"]},{"id":"https://openalex.org/I99418890","display_name":"Northwestern Polytechnic University","ror":"https://ror.org/05wn69s11","country_code":"US","type":"education","lineage":["https://openalex.org/I99418890"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Zhen Guo","raw_affiliation_strings":["School of Software and the Yangtze River Delta Research Institute, Northwestern Polytechnical University (NPU), Taicang, China","School of Software, Northwestern Polytechnical University (NPU), Taicang, China"],"raw_orcid":"https://orcid.org/0009-0006-7291-695X","affiliations":[{"raw_affiliation_string":"School of Software and the Yangtze River Delta Research Institute, Northwestern Polytechnical University (NPU), Taicang, China","institution_ids":["https://openalex.org/I99418890","https://openalex.org/I4210105136"]},{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Taicang, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071986802","display_name":"Hongping Gan","orcid":"https://orcid.org/0000-0002-4853-5077"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210105136","display_name":"Yangtze River Delta Physics Research Center (China)","ror":"https://ror.org/01g53qc72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210105136"]},{"id":"https://openalex.org/I99418890","display_name":"Northwestern Polytechnic University","ror":"https://ror.org/05wn69s11","country_code":"US","type":"education","lineage":["https://openalex.org/I99418890"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hongping Gan","raw_affiliation_strings":["School of Software and the Yangtze River Delta Research Institute, Northwestern Polytechnical University (NPU), Taicang, China","School of Software, Northwestern Polytechnical University (NPU), Taicang, China"],"raw_orcid":"https://orcid.org/0000-0002-4853-5077","affiliations":[{"raw_affiliation_string":"School of Software and the Yangtze River Delta Research Institute, Northwestern Polytechnical University (NPU), Taicang, China","institution_ids":["https://openalex.org/I99418890","https://openalex.org/I4210105136"]},{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Taicang, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013111035"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I4210105136","https://openalex.org/I99418890"],"apc_list":null,"apc_paid":null,"fwci":7.6674,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97476264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"925","last_page":"938"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9632999897003174,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9632999897003174,"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"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9606999754905701,"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":0.9580000042915344,"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/feature","display_name":"Feature (linguistics)","score":0.5554877519607544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4944155216217041},{"id":"https://openalex.org/keywords/usb","display_name":"USB","score":0.4916461110115051},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4705251455307007},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4361473023891449},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4359988570213318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43276792764663696},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4095233380794525},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.35104185342788696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3371114730834961},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2638673484325409},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20195671916007996}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5554877519607544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4944155216217041},{"id":"https://openalex.org/C507366226","wikidata":"https://www.wikidata.org/wiki/Q42378","display_name":"USB","level":3,"score":0.4916461110115051},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4705251455307007},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4361473023891449},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4359988570213318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43276792764663696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4095233380794525},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.35104185342788696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3371114730834961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2638673484325409},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20195671916007996},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3533198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3533198","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40031311","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031311","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 transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1983756589","display_name":null,"funder_award_id":"62101455","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5796218024","display_name":null,"funder_award_id":"TC2024JC17","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6716188234","display_name":null,"funder_award_id":"62471395","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":76,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1828462930","https://openalex.org/W1905165690","https://openalex.org/W1912194039","https://openalex.org/W1930824406","https://openalex.org/W1996287810","https://openalex.org/W2082029531","https://openalex.org/W2084591647","https://openalex.org/W2086670019","https://openalex.org/W2100556411","https://openalex.org/W2101675075","https://openalex.org/W2119667497","https://openalex.org/W2142058898","https://openalex.org/W2161907179","https://openalex.org/W2164278908","https://openalex.org/W2273561594","https://openalex.org/W2503339013","https://openalex.org/W2594014149","https://openalex.org/W2752782242","https://openalex.org/W2770113520","https://openalex.org/W2786277362","https://openalex.org/W2787943924","https://openalex.org/W2798559986","https://openalex.org/W2884144629","https://openalex.org/W2902719825","https://openalex.org/W2954862903","https://openalex.org/W2963081547","https://openalex.org/W2963764784","https://openalex.org/W2963814095","https://openalex.org/W2980149757","https://openalex.org/W2983736948","https://openalex.org/W2998391154","https://openalex.org/W3003650457","https://openalex.org/W3009991223","https://openalex.org/W3012002796","https://openalex.org/W3018622322","https://openalex.org/W3038886336","https://openalex.org/W3048134800","https://openalex.org/W3087291587","https://openalex.org/W3096654432","https://openalex.org/W3098593035","https://openalex.org/W3173125503","https://openalex.org/W3190499751","https://openalex.org/W3207346178","https://openalex.org/W3217524872","https://openalex.org/W4200596895","https://openalex.org/W4220791861","https://openalex.org/W4223631436","https://openalex.org/W4224942989","https://openalex.org/W4226232786","https://openalex.org/W4226277663","https://openalex.org/W4250955649","https://openalex.org/W4292230951","https://openalex.org/W4307842584","https://openalex.org/W4312380264","https://openalex.org/W4312628443","https://openalex.org/W4312908055","https://openalex.org/W4313524890","https://openalex.org/W4316661288","https://openalex.org/W4321483886","https://openalex.org/W4322765508","https://openalex.org/W4364322808","https://openalex.org/W4376607374","https://openalex.org/W4383105732","https://openalex.org/W4383618566","https://openalex.org/W4386071863","https://openalex.org/W4386598441","https://openalex.org/W4387717439","https://openalex.org/W4392157686","https://openalex.org/W4392607845","https://openalex.org/W4392946773","https://openalex.org/W4393148770","https://openalex.org/W4401386913","https://openalex.org/W6767273182","https://openalex.org/W6852504160","https://openalex.org/W6861989329"],"related_works":["https://openalex.org/W2360288732","https://openalex.org/W2379137242","https://openalex.org/W2758694247","https://openalex.org/W2356928735","https://openalex.org/W2367116219","https://openalex.org/W2382617248","https://openalex.org/W2386142251","https://openalex.org/W2393106355","https://openalex.org/W2364196019","https://openalex.org/W2379317479"],"abstract_inverted_index":{"Existing":[0],"unfolding-based":[1],"compressive":[2,62,211,218],"imaging":[3,63,219],"approaches":[4],"always":[5],"suffer":[6],"from":[7],"certain":[8],"issues,":[9],"including":[10],"inefficient":[11],"feature":[12,58,78,189],"extraction":[13],"and":[14,33,56,116,136,151,168,194,216],"information":[15,167],"loss":[16],"during":[17],"iterative":[18,155,185],"reconstruction":[19,156],"phases,":[20,157],"which":[21],"become":[22],"particularly":[23],"evident":[24],"at":[25,228],"low":[26],"sampling":[27],"ratios,":[28],"i.e.,":[29],"significant":[30],"detail":[31],"degradation":[32],"distortion":[34],"in":[35],"reconstructed":[36],"images.":[37],"To":[38],"mitigate":[39],"these":[40],"challenges,":[41],"we":[42,66,96,140],"propose":[43],"USB-Net,":[44],"a":[45,68,74],"deep":[46],"unfolding":[47],"method":[48],"inspired":[49],"by":[50],"the":[51,84,126,159,176],"renowned":[52],"Split":[53,90,129,180],"Bregman":[54,91,137,181],"algorithm":[55],"multi-phase":[57,184],"integration":[59],"strategy,":[60],"for":[61,77,133],"reconstruction.":[64,198],"Specifically,":[65],"use":[67],"customized":[69],"Depthwise":[70],"Attention":[71],"Block":[72],"as":[73,165],"fundamental":[75],"block":[76],"extraction,":[79,190],"but":[80],"also":[81],"to":[82,124,148,187],"address":[83],"sparse":[85],"induction-related":[86],"splitting":[87],"operator":[88],"within":[89],"method.":[92],"Based":[93],"on":[94,209],"this,":[95],"introduce":[97,141],"three":[98],"Auxiliary":[99],"Iteration":[100],"Modules:":[101],"<inline-formula":[102,109,117],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[103,110,118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[104,111,119],"<tex-math":[105,112,120],"notation=\"LaTeX\">${\\mathrm":[106,113,121],"{X}}^{(k)}$":[107],"</tex-math></inline-formula>,":[108,115],"{D}}^{(k)}$":[114],"{B}}^{(k)}$":[122],"</tex-math></inline-formula>":[123],"reinforce":[125],"effectiveness":[127],"of":[128,144,161,178],"Bregman\u2019s":[130],"decomposition":[131],"strategy":[132],"problem":[134],"breakdown":[135],"iterations.":[138],"Moreover,":[139],"two":[142],"categories":[143],"Iterative":[145],"Fusion":[146],"Modules":[147],"seamlessly":[149],"harmonize":[150],"integrate":[152],"insights":[153,186],"across":[154],"enhancing":[158],"utilization":[160],"crucial":[162],"features,":[163],"such":[164],"edge":[166],"textures.":[169],"In":[170],"general,":[171],"USB-Net":[172,203],"can":[173],"fully":[174],"harness":[175],"advantages":[177],"traditional":[179],"approach,":[182],"manipulating":[183],"enhance":[188],"optimize":[191],"data":[192],"fidelity,":[193],"achieve":[195],"high-quality":[196],"image":[197,210],"Extensive":[199],"experiments":[200],"show":[201],"that":[202],"significantly":[204],"outperforms":[205],"current":[206],"state-of-the-art":[207],"methods":[208],"sensing,":[212],"CS-magnetic":[213],"resonance":[214],"imaging,":[215],"snapshot":[217],"tasks,":[220],"demonstrating":[221],"superior":[222],"generalizability.":[223],"Our":[224],"code":[225],"is":[226],"available":[227],"USB-Net.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}