{"id":"https://openalex.org/W4372339429","doi":"https://doi.org/10.1109/icassp49357.2023.10095494","title":"Deep Born Operator Learning for Reflection Tomographic Imaging","display_name":"Deep Born Operator Learning for Reflection Tomographic Imaging","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372339429","doi":"https://doi.org/10.1109/icassp49357.2023.10095494"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101865141","display_name":"Qingqing Zhao","orcid":"https://orcid.org/0000-0002-2363-1935"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qingqing Zhao","raw_affiliation_strings":["Stanford University,Department of Electrical Engineering,Stanford,CA,USA,94305"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Electrical Engineering,Stanford,CA,USA,94305","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064105969","display_name":"Yanting Ma","orcid":"https://orcid.org/0000-0002-6966-4222"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanting Ma","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02140"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02140","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034522188","display_name":"Petros T. Boufounos","orcid":"https://orcid.org/0000-0003-1369-0947"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petros Boufounos","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02140"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02140","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028481793","display_name":"Saleh Nabi","orcid":"https://orcid.org/0000-0002-7408-3764"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saleh Nabi","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02140"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02140","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101648073","display_name":"Hassan Mansour","orcid":"https://orcid.org/0000-0002-1667-9885"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hassan Mansour","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02140"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02140","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101865141"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.6102,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64938637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9997000098228455,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.8465834856033325},{"id":"https://openalex.org/keywords/permittivity","display_name":"Permittivity","score":0.6824340224266052},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6482378244400024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474424004554749},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5459014177322388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5366662740707397},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.5343757271766663},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4656465947628021},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46087509393692017},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39700907468795776},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35893306136131287},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24720162153244019},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14119255542755127},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08621099591255188},{"id":"https://openalex.org/keywords/dielectric","display_name":"Dielectric","score":0.08544149994850159}],"concepts":[{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.8465834856033325},{"id":"https://openalex.org/C168651791","wikidata":"https://www.wikidata.org/wiki/Q211569","display_name":"Permittivity","level":3,"score":0.6824340224266052},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6482378244400024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474424004554749},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5459014177322388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5366662740707397},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.5343757271766663},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4656465947628021},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46087509393692017},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39700907468795776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35893306136131287},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24720162153244019},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14119255542755127},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08621099591255188},{"id":"https://openalex.org/C133386390","wikidata":"https://www.wikidata.org/wiki/Q184996","display_name":"Dielectric","level":2,"score":0.08544149994850159},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1541038847","https://openalex.org/W1984131253","https://openalex.org/W2002832520","https://openalex.org/W2033106066","https://openalex.org/W2100245965","https://openalex.org/W2113162345","https://openalex.org/W2133386437","https://openalex.org/W2739527085","https://openalex.org/W2964304259","https://openalex.org/W3092923133","https://openalex.org/W3101674152","https://openalex.org/W3104055803","https://openalex.org/W3173102319","https://openalex.org/W4243613133","https://openalex.org/W4243818648","https://openalex.org/W4281710891","https://openalex.org/W6631190155","https://openalex.org/W6784227514","https://openalex.org/W6797469170","https://openalex.org/W6838683147"],"related_works":["https://openalex.org/W4315471419","https://openalex.org/W2946057701","https://openalex.org/W4386931161","https://openalex.org/W2374146176","https://openalex.org/W2065249286","https://openalex.org/W2366839571","https://openalex.org/W4223960160","https://openalex.org/W2027762722","https://openalex.org/W2356754952","https://openalex.org/W3090858966"],"abstract_inverted_index":{"Recent":[0],"developments":[1],"in":[2,130],"wave-based":[3],"sensor":[4],"technologies,":[5],"such":[6,44],"as":[7],"ground":[8],"penetrating":[9],"radar":[10],"(GPR),":[11],"provide":[12],"new":[13],"opportunities":[14],"for":[15,139],"accurate":[16],"imaging":[17],"of":[18,23,36,39,90,102],"underground":[19,41,93,142],"scenes.":[20,42,94,143],"Given":[21],"measurements":[22],"the":[24,28,33,37,40,67,71,87,91],"scattered":[25],"electromagnetic":[26],"wavefield,":[27],"goal":[29],"is":[30,78,111],"to":[31,50,65,85,113],"estimate":[32],"spatial":[34],"distribution":[35,89],"permittivity":[38,88,104],"However,":[43],"problems":[45],"are":[46],"highly":[47],"ill-posed,":[48],"difficult":[49],"formulate,":[51],"and":[52],"computationally":[53],"expensive.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"propose":[59],"a":[60,81,100,107,127],"physics-inspired":[61],"machine":[62,136],"learning-based":[63,137],"method":[64,125],"learn":[66],"wave-matter":[68],"interaction":[69],"under":[70],"GPR":[72],"setting.":[73],"The":[74],"learned":[75,82],"forward":[76],"model":[77],"combined":[79],"with":[80,106],"signal":[83],"prior":[84],"recover":[86],"unknown":[92],"We":[95,118],"test":[96],"our":[97,124],"approach":[98],"on":[99],"dataset":[101],"400":[103],"maps":[105],"three-layer":[108],"background,":[109],"which":[110],"challenging":[112],"solve":[114],"using":[115],"existing":[116],"methods.":[117],"demonstrate":[119],"via":[120],"numerical":[121],"simulation":[122],"that":[123],"achieves":[126],"50%":[128],"improvement":[129],"mean":[131],"squared":[132],"error":[133],"over":[134],"benchmark":[135],"solvers":[138],"reconstructing":[140],"layered":[141]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}