{"id":"https://openalex.org/W4413318804","doi":"https://doi.org/10.1109/tip.2025.3597038","title":"Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs","display_name":"Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413318804","doi":"https://doi.org/10.1109/tip.2025.3597038","pmid":"https://pubmed.ncbi.nlm.nih.gov/40828724"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3597038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3597038","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":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12481205/pdf/nihms-2107915.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080578294","display_name":"Semin Kwon","orcid":"https://orcid.org/0000-0002-9197-2686"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Semin Kwon","raw_affiliation_strings":["Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-9197-2686","affiliations":[{"raw_affiliation_string":"Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049733448","display_name":"Sang Mok Park","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sang Mok Park","raw_affiliation_strings":["Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0009-0003-9979-8576","affiliations":[{"raw_affiliation_string":"Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001925613","display_name":"Yuhyun Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhyun Ji","raw_affiliation_strings":["Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-3482-5030","affiliations":[{"raw_affiliation_string":"Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116569534","display_name":"Haripriya Sakthivel","orcid":"https://orcid.org/0009-0000-4818-5794"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haripriya Sakthivel","raw_affiliation_strings":["Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0009-0000-4818-5794","affiliations":[{"raw_affiliation_string":"Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018960247","display_name":"Jung Woo Leem","orcid":"https://orcid.org/0000-0001-5008-2356"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jung Woo Leem","raw_affiliation_strings":["Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0001-5008-2356","affiliations":[{"raw_affiliation_string":"Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049431271","display_name":"Young L. Kim","orcid":"https://orcid.org/0000-0003-3796-9643"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Young L. Kim","raw_affiliation_strings":["Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0003-3796-9643","affiliations":[{"raw_affiliation_string":"Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080578294"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":3.0818,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92457732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"34","issue":null,"first_page":"5429","last_page":"5441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9319999814033508,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9319999814033508,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8348314166069031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6473724842071533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6339882612228394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5950044989585876},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5289932489395142},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49069201946258545},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4504087269306183},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4275902211666107},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42260587215423584},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4201357960700989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4067535996437073},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3956393897533417},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29108381271362305},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14797019958496094}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8348314166069031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6473724842071533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6339882612228394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5950044989585876},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5289932489395142},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49069201946258545},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4504087269306183},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4275902211666107},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42260587215423584},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4201357960700989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4067535996437073},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3956393897533417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29108381271362305},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14797019958496094},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2025.3597038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3597038","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:40828724","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40828724","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},{"id":"pmh:oai:pubmedcentral.nih.gov:12481205","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12481205/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12481205/pdf/nihms-2107915.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Image Process","raw_type":"Text"},{"id":"pmh:oai:europepmc.org:11292041","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12481205","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:12481205","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12481205/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12481205/pdf/nihms-2107915.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Image Process","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1493052396","display_name":null,"funder_award_id":"R01AG048946","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G191425055","display_name":null,"funder_award_id":"I01BX005816","funder_id":"https://openalex.org/F4320306127","funder_display_name":"U.S. Department of Veterans Affairs"},{"id":"https://openalex.org/G2242715308","display_name":null,"funder_award_id":"P0017306","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G461172670","display_name":null,"funder_award_id":"R33TW012486","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8675926957","display_name":null,"funder_award_id":"R01EB033788","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306127","display_name":"U.S. Department of Veterans Affairs","ror":"https://ror.org/05rsv9s98"},{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332162","display_name":"Centers for Disease Control and Prevention","ror":"https://ror.org/042twtr12"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413318804.pdf","grobid_xml":"https://content.openalex.org/works/W4413318804.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W579572130","https://openalex.org/W1988386267","https://openalex.org/W1988781559","https://openalex.org/W1994616623","https://openalex.org/W1996821078","https://openalex.org/W2000512760","https://openalex.org/W2016956891","https://openalex.org/W2048976066","https://openalex.org/W2051635436","https://openalex.org/W2051906231","https://openalex.org/W2052468738","https://openalex.org/W2055718008","https://openalex.org/W2072445211","https://openalex.org/W2079529761","https://openalex.org/W2097898543","https://openalex.org/W2116346320","https://openalex.org/W2122410868","https://openalex.org/W2122825543","https://openalex.org/W2124408270","https://openalex.org/W2144148623","https://openalex.org/W2290452516","https://openalex.org/W2300641502","https://openalex.org/W2467462666","https://openalex.org/W2554732702","https://openalex.org/W2556590270","https://openalex.org/W2782517596","https://openalex.org/W2793272303","https://openalex.org/W2802779534","https://openalex.org/W2892288283","https://openalex.org/W2897088576","https://openalex.org/W2909669418","https://openalex.org/W2922178938","https://openalex.org/W2972084804","https://openalex.org/W2991616716","https://openalex.org/W2998765080","https://openalex.org/W3022047430","https://openalex.org/W3034430110","https://openalex.org/W3105523200","https://openalex.org/W3122270904","https://openalex.org/W3134761005","https://openalex.org/W3138412178","https://openalex.org/W3144618880","https://openalex.org/W3164816634","https://openalex.org/W3198960704","https://openalex.org/W3213253263","https://openalex.org/W4213243348","https://openalex.org/W4220822850","https://openalex.org/W4221090720","https://openalex.org/W4224294196","https://openalex.org/W4232694754","https://openalex.org/W4282039959","https://openalex.org/W4285085921","https://openalex.org/W4285140529","https://openalex.org/W4292794036","https://openalex.org/W4293498910","https://openalex.org/W4302320800","https://openalex.org/W4303453877","https://openalex.org/W4311378005","https://openalex.org/W4361276505","https://openalex.org/W4366753174","https://openalex.org/W4386426780","https://openalex.org/W4387338038","https://openalex.org/W4387757594","https://openalex.org/W4394903960","https://openalex.org/W4399419052","https://openalex.org/W4403126654","https://openalex.org/W4403279537","https://openalex.org/W4403963289","https://openalex.org/W4406311397","https://openalex.org/W4406416295","https://openalex.org/W4411078250"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2391683795"],"abstract_inverted_index":{"Because":[0],"optical":[1,218],"spectrometers":[2],"capture":[3],"abundant":[4],"molecular,":[5],"biological,":[6],"and":[7,18,70,107,147,220],"physical":[8],"information":[9,127],"beyond":[10],"images,":[11],"ongoing":[12],"efforts":[13],"focus":[14],"on":[15,90],"both":[16],"algorithmic":[17],"hardware":[19,99],"approaches":[20],"to":[21,87,123,171,183,205,216],"obtain":[22],"detailed":[23],"spectral":[24,47,57,79,126,174,180,192],"information.":[25],"Spectral":[26],"reconstruction":[27,80],"from":[28,132,200],"red-green-blue":[29],"(RGB)":[30],"values":[31,165],"acquired":[32],"by":[33,54,65],"conventional":[34],"trichromatic":[35],"cameras":[36],"has":[37,213],"been":[38],"an":[39,129],"active":[40],"area":[41],"of":[42,59,128,143,166,176,185,194],"study.":[43],"However,":[44],"the":[45,55,60,125,137,148,152,173,177,195,214],"resultant":[46],"profile":[48],"is":[49],"often":[50],"affected":[51],"not":[52],"only":[53],"unknown":[56],"properties":[58],"sample":[61,131,196],"itself,":[62],"but":[63],"also":[64,104],"light":[66],"conditions,":[67],"device":[68],"characteristics,":[69],"image":[71],"file":[72],"formats.":[73],"Existing":[74],"machine":[75],"learning":[76],"models":[77],"for":[78,154],"are":[81,169],"further":[82],"limited":[83],"in":[84,136],"generalizability":[85],"due":[86],"their":[88],"reliance":[89],"task-specific":[91],"training":[92,155],"data":[93,156],"or":[94,157],"fixed":[95],"models.":[96,159],"Advanced":[97],"spectrometer":[98],"employing":[100],"sophisticated":[101],"nanofabricated":[102],"components":[103],"constrains":[105],"scalability":[106],"affordability.":[108],"Here":[109],"we":[110],"introduce":[111],"a":[112,133,191,201],"general":[113],"computational":[114,149,210],"framework,":[115],"co-designed":[116],"with":[117],"spectrally":[118],"incoherent":[119],"color":[120,145],"reference":[121,144,167],"charts,":[122],"recover":[124,172],"arbitrary":[130],"single-shot":[134,202],"photo":[135],"visible":[138],"range.":[139],"The":[140,208],"mutual":[141],"optimization":[142],"selection":[146],"algorithm":[150],"eliminates":[151],"need":[153],"pretrained":[158],"In":[160,188],"transmission":[161],"mode,":[162,190],"altered":[163],"RGB":[164],"colors":[168],"used":[170],"intensity":[175],"sample,":[178],"achieving":[179],"resolution":[181],"comparable":[182],"that":[184],"scientific":[186],"spectrometers.":[187],"reflection":[189],"hypercube":[193],"can":[197],"be":[198],"constructed":[199],"photo,":[203],"analogous":[204],"hyperspectral":[206,221],"imaging.":[207],"reported":[209],"photography":[211],"spectrometry":[212],"potential":[215],"make":[217],"spectroscopy":[219],"imaging":[222],"accessible":[223],"using":[224],"off-the-shelf":[225],"smartphones.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}