{"id":"https://openalex.org/W4408281377","doi":"https://doi.org/10.1109/iecon55916.2024.10905740","title":"Deep learning with attention mechanism for optical diffractive image reconstruction","display_name":"Deep learning with attention mechanism for optical diffractive image reconstruction","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408281377","doi":"https://doi.org/10.1109/iecon55916.2024.10905740"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","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/A5024132859","display_name":"Asim Asrar","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Asim Asrar","raw_affiliation_strings":["Indian Institute of Technology Kharagpur,Department of Electrical Engineering,Kharagpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur,Department of Electrical Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083087741","display_name":"K Raju","orcid":"https://orcid.org/0009-0009-9642-1400"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kurichate Pavan Kalyan Raju","raw_affiliation_strings":["Indian Institute of Technology Kharagpur,Department of Electrical Engineering,Kharagpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur,Department of Electrical Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103122405","display_name":"Pranab Kumar Dutta","orcid":"https://orcid.org/0000-0001-9906-719X"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pranab K. Dutta","raw_affiliation_strings":["Indian Institute of Technology Kharagpur,Department of Electrical Engineering,Kharagpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur,Department of Electrical Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38703943,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9272000193595886,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9272000193595886,"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":0.7203934192657471},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.658882737159729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5675024390220642},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4783622622489929},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.468406617641449},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4614054262638092},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45996198058128357},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15202641487121582}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7203934192657471},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.658882737159729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5675024390220642},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4783622622489929},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.468406617641449},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4614054262638092},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45996198058128357},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15202641487121582},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon55916.2024.10905740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1964376514","https://openalex.org/W1976507051","https://openalex.org/W1988483973","https://openalex.org/W2007593159","https://openalex.org/W2100737159","https://openalex.org/W2124677456","https://openalex.org/W2130129917","https://openalex.org/W2133665775","https://openalex.org/W2551161082","https://openalex.org/W2574952845","https://openalex.org/W2611230914","https://openalex.org/W2613775555","https://openalex.org/W2739527085","https://openalex.org/W2769250359","https://openalex.org/W2777802649","https://openalex.org/W2792059115","https://openalex.org/W2904771195","https://openalex.org/W2955058313","https://openalex.org/W2963494934","https://openalex.org/W3003820456","https://openalex.org/W3044839276","https://openalex.org/W3126781302","https://openalex.org/W3173342677","https://openalex.org/W4229365330","https://openalex.org/W4312832682","https://openalex.org/W4387951891","https://openalex.org/W6639824700","https://openalex.org/W6671012420"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W4375867731","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748","https://openalex.org/W2375179084","https://openalex.org/W2366646518"],"abstract_inverted_index":{"Optical":[0],"diffractive":[1],"imaging":[2],"needs":[3],"to":[4,10,20,44,51],"solve":[5],"the":[6,18,21,28,49,57,75,84,87,97,101,113,119],"inverse":[7,23],"scattering":[8,24,29],"problem":[9,25],"generate":[11],"high-resolution":[12],"quantitative":[13],"images.":[14],"Deep":[15],"learning":[16,37],"improves":[17,67],"solution":[19],"electromagnetic":[22],"for":[26,112,118],"reconstructing":[27],"potential.":[30],"The":[31],"proposed":[32,88],"hybrid":[33],"approach":[34],"combines":[35],"deep":[36],"with":[38,90],"wavelet":[39],"transform":[40],"as":[41],"input":[42,76],"features":[43],"a":[45,105],"U-net":[46,102],"architecture,":[47,103],"allowing":[48],"model":[50],"focus":[52],"on":[53,80],"target":[54],"areas":[55],"of":[56,86,96,110],"scattered":[58],"field.":[59],"This":[60],"method":[61],"outperforms":[62],"traditional":[63],"iterative":[64],"methods":[65],"and":[66,116],"further":[68],"by":[69],"integrating":[70],"an":[71],"attention":[72,98],"mechanism":[73],"into":[74,100],"features.":[77],"Our":[78],"results":[79],"simulated":[81],"datasets":[82],"demonstrate":[83],"effectiveness":[85],"approach,":[89],"improved":[91],"reconstruction":[92],"accuracy":[93],"upon":[94],"integration":[95],"module":[99],"achieving":[104],"structural":[106],"similarity":[107],"index":[108],"score":[109],"0.833":[111],"leukemia":[114],"dataset":[115],"0.9164":[117],"thalassemia":[120],"dataset.":[121]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
