{"id":"https://openalex.org/W4387885760","doi":"https://doi.org/10.1109/access.2023.3326504","title":"Advancing Sensor-Data Based PAT Image Reconstruction Through Efficient and Intelligible Unrolled Networks","display_name":"Advancing Sensor-Data Based PAT Image Reconstruction Through Efficient and Intelligible Unrolled Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387885760","doi":"https://doi.org/10.1109/access.2023.3326504"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3326504","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3326504","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10290896.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10290896.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112861824","display_name":"Mary John","orcid":null},"institutions":[{"id":"https://openalex.org/I161913731","display_name":"Al Ain University","ror":"https://ror.org/023abrt21","country_code":"AE","type":"education","lineage":["https://openalex.org/I161913731"]},{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mary John","raw_affiliation_strings":["Department of Electrical Engineering, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates","Electrical Engineering Department, United Arab Emirates University, P.O. Box 15551, Al Ain, Abu Dhabi, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I201726411","https://openalex.org/I161913731"]},{"raw_affiliation_string":"Electrical Engineering Department, United Arab Emirates University, P.O. Box 15551, Al Ain, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I201726411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089107914","display_name":"Imad Barhumi","orcid":"https://orcid.org/0000-0002-9752-709X"},"institutions":[{"id":"https://openalex.org/I161913731","display_name":"Al Ain University","ror":"https://ror.org/023abrt21","country_code":"AE","type":"education","lineage":["https://openalex.org/I161913731"]},{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Imad Barhumi","raw_affiliation_strings":["Department of Electrical Engineering, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates","Electrical Engineering Department, United Arab Emirates University, P.O. Box 15551, Al Ain, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-9752-709X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I201726411","https://openalex.org/I161913731"]},{"raw_affiliation_string":"Electrical Engineering Department, United Arab Emirates University, P.O. Box 15551, Al Ain, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I201726411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7176,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66834094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"117053","last_page":"117066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"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":1.0,"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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9577999711036682,"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/computer-science","display_name":"Computer science","score":0.7650640606880188},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6112677454948425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5391026735305786},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.533915102481842},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5319607257843018},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5248028039932251},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5114871263504028},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.48840540647506714},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.45474761724472046},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4498424530029297},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43835148215293884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3796175718307495},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3707202970981598},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34117618203163147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1334962546825409}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650640606880188},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6112677454948425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5391026735305786},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.533915102481842},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5319607257843018},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5248028039932251},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5114871263504028},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.48840540647506714},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.45474761724472046},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4498424530029297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43835148215293884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3796175718307495},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3707202970981598},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34117618203163147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1334962546825409},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3326504","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3326504","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10290896.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fddb6cfa2c9d40c8889dd8ae4a6a1cbb","is_oa":true,"landing_page_url":"https://doaj.org/article/fddb6cfa2c9d40c8889dd8ae4a6a1cbb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 117053-117066 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3326504","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3326504","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10290896.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387885760.pdf","grobid_xml":"https://content.openalex.org/works/W4387885760.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1974198688","https://openalex.org/W2017062848","https://openalex.org/W2018322127","https://openalex.org/W2025666718","https://openalex.org/W2026062752","https://openalex.org/W2029816571","https://openalex.org/W2040604977","https://openalex.org/W2045147903","https://openalex.org/W2050872129","https://openalex.org/W2067738309","https://openalex.org/W2075353800","https://openalex.org/W2077925928","https://openalex.org/W2078969925","https://openalex.org/W2103300200","https://openalex.org/W2103559027","https://openalex.org/W2113969771","https://openalex.org/W2118103795","https://openalex.org/W2118791227","https://openalex.org/W2129638195","https://openalex.org/W2138103367","https://openalex.org/W2141668152","https://openalex.org/W2145096794","https://openalex.org/W2151786586","https://openalex.org/W2162473564","https://openalex.org/W2339621810","https://openalex.org/W2481798478","https://openalex.org/W2524396046","https://openalex.org/W2574513697","https://openalex.org/W2748207304","https://openalex.org/W2806047578","https://openalex.org/W2889735150","https://openalex.org/W2896163156","https://openalex.org/W2912290085","https://openalex.org/W2972580544","https://openalex.org/W2982838863","https://openalex.org/W3026287441","https://openalex.org/W3036274128","https://openalex.org/W3081254354","https://openalex.org/W3091894778","https://openalex.org/W3094319113","https://openalex.org/W3096831136","https://openalex.org/W3105033759","https://openalex.org/W3183083350","https://openalex.org/W3213310890","https://openalex.org/W4248800565","https://openalex.org/W4250955649","https://openalex.org/W4285679274","https://openalex.org/W4287831993","https://openalex.org/W4292363360","https://openalex.org/W4292546169","https://openalex.org/W4312096646","https://openalex.org/W4313458930","https://openalex.org/W4315630448","https://openalex.org/W4323644167","https://openalex.org/W6639824700","https://openalex.org/W6667920649","https://openalex.org/W6677645113","https://openalex.org/W6680478809","https://openalex.org/W6697419950"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2157715872","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2896778670"],"abstract_inverted_index":{"Despite":[0],"recent":[1],"advancements,":[2],"the":[3,97,143,174,211],"challenge":[4],"of":[5,80,145,205],"deep-dense":[6],"tissue":[7],"imaging":[8,23],"with":[9,44,121,147],"high":[10],"resolution":[11],"and":[12,31,56,70,103,119,165,214,222],"contrast":[13],"persists":[14],"in":[15,142,187,229],"breast":[16],"cancer":[17],"diagnosis;":[18],"however,":[19],"photoacoustic":[20],"tomography":[21],"(PAT)":[22],"addresses":[24],"this":[25],"issue":[26],"by":[27,124,171],"capturing":[28],"both":[29],"anatomical":[30],"functional":[32],"information,":[33],"including":[34],"small":[35],"masses":[36],"as":[37,39],"tiny":[38],"3mm.":[40],"Compressive":[41],"sensing":[42],"coined":[43],"PAT":[45,91,139],"allows":[46],"for":[47,99,128,182,218,226],"a":[48,77,125,206],"faster":[49],"reconstruction,":[50],"because":[51],"it":[52],"requires":[53],"fewer":[54],"sensors":[55],"samples.":[57],"Although":[58],"CS-PAT":[59],"algorithms":[60],"are":[61],"efficient":[62],"they":[63],"rely":[64],"on":[65,84,116,158],"application":[66],"specific":[67],"parameter":[68,101,201],"tuning":[69],"system":[71,104,197],"matrix":[72,105,198],"modelling.":[73],"This":[74],"paper":[75],"introduces":[76],"time-efficient":[78],"approach":[79,135],"algorithm":[81,176],"unrolling,":[82],"based":[83,115,157],"CS":[85],"algorithms,":[86],"to":[87,163],"directly":[88],"reconstruct":[89],"high-resolution":[90,138],"images":[92],"from":[93],"sensor":[94],"data,":[95],"eliminating":[96],"need":[98],"explicit":[100,196],"assignment":[102],"modeling.":[106],"The":[107,131,203],"study":[108],"proposes":[109],"two":[110],"unrolled":[111,133],"deep":[112],"learning":[113],"networks":[114],"split-Bregman":[117],"total-variation":[118],"relaxed-basis-pursuit":[120],"ADMMimplementation,":[122],"followed":[123],"denoising":[126,208],"network":[127,156,209],"further":[129],"enhancement.":[130],"model-free":[132],"deep-learning":[134],"successfully":[136],"reconstructs":[137],"images,":[140],"even":[141],"presence":[144],"noise,":[146],"low":[148],"validation":[149],"root":[150],"mean":[151,168],"square":[152,169],"error.":[153],"An":[154],"enhancer":[155],"U-Net":[159,207],"improves":[160],"image":[161,193],"quality":[162],"0.91":[164],"significantly":[166],"reduces":[167],"error":[170],"95%.":[172],"Overall,":[173],"proposed":[175],"unrolling":[177],"method":[178],"demonstrates":[179],"promising":[180],"potential":[181],"practical":[183],"clinical":[184],"applications,":[185],"particularly":[186],"early":[188,227],"disease":[189,220],"detection,":[190],"offering":[191],"rapid":[192],"reconstruction":[194],"without":[195],"modeling":[199],"or":[200],"tuning.":[202],"inclusion":[204],"enhances":[210],"approach\u2019s":[212],"resilience":[213],"adaptability,":[215],"suggesting":[216],"possibilities":[217],"improved":[219],"diagnosis":[221],"treatment":[223],"outcomes,":[224],"especially":[225],"detection":[228],"dense":[230],"tissues":[231],"like":[232],"breasts.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}