{"id":"https://openalex.org/W2962821023","doi":"https://doi.org/10.1109/isbi.2019.8759263","title":"Joint Bi-Modal Image Reconstruction Of Dot And Xct With An Extended Mumford-Shah Functional","display_name":"Joint Bi-Modal Image Reconstruction Of Dot And Xct With An Extended Mumford-Shah Functional","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2962821023","doi":"https://doi.org/10.1109/isbi.2019.8759263","mag":"2962821023"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2019.8759263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","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/A5100937200","display_name":"Di He","orcid":"https://orcid.org/0009-0006-7570-6341"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di He","raw_affiliation_strings":["School of Applied Science, Beijing Information Science & Technology University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Applied Science, Beijing Information Science & Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056308697","display_name":"Ming Jiang","orcid":"https://orcid.org/0000-0002-1661-0538"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Jiang","raw_affiliation_strings":["LMAM, School of Mathematical Sciences, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"LMAM, School of Mathematical Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028719622","display_name":"Alfred K. Louis","orcid":"https://orcid.org/0000-0001-8518-2592"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alfred K. Louis","raw_affiliation_strings":["Institute of Applied Mathematics Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Mathematics Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018483872","display_name":"Peter Maa\u00df","orcid":"https://orcid.org/0000-0003-1448-8345"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Maass","raw_affiliation_strings":["Center for Industrial Mathematics, University of Bremen, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"Center for Industrial Mathematics, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027320469","display_name":"Thomas Page","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726953","display_name":"Daimler Truck (Germany)","ror":"https://ror.org/049ahjd53","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726953"]},{"id":"https://openalex.org/I4210090154","display_name":"Daimler (United Kingdom)","ror":"https://ror.org/00ac5t267","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090154","https://openalex.org/I891521709"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thomas Page","raw_affiliation_strings":["Daimler Trucks"],"affiliations":[{"raw_affiliation_string":"Daimler Trucks","institution_ids":["https://openalex.org/I4210090154","https://openalex.org/I4401726953"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100937200"],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":0.1956,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49809496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1463","last_page":"1466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9990000128746033,"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":0.9990000128746033,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7811469435691833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6768151521682739},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6732504367828369},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6486465334892273},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6224617958068848},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5917962789535522},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5835886001586914},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5782316327095032},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5532945394515991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5270676612854004},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.47855430841445923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4260442852973938},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42187416553497314},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.41425400972366333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1221892237663269},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11231422424316406},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11141827702522278}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7811469435691833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6768151521682739},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6732504367828369},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6486465334892273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6224617958068848},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5917962789535522},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5835886001586914},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5782316327095032},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5532945394515991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5270676612854004},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.47855430841445923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4260442852973938},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42187416553497314},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.41425400972366333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1221892237663269},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11231422424316406},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11141827702522278},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2019.8759263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320326177","display_name":"Chinesisch-Deutsche Zentrum f\u00fcr Wissenschaftsf\u00f6rderung","ror":"https://ror.org/03ny8r668"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2027472102","https://openalex.org/W2059975159","https://openalex.org/W2069878070","https://openalex.org/W2099069661","https://openalex.org/W2102994171","https://openalex.org/W2114487471","https://openalex.org/W2133665775","https://openalex.org/W2141042290","https://openalex.org/W2278672878","https://openalex.org/W2314941421","https://openalex.org/W2962821023","https://openalex.org/W6755697473"],"related_works":["https://openalex.org/W627697492","https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520"],"abstract_inverted_index":{"Feature":[0],"similarity":[1,31,43,48],"measures":[2],"are":[3],"indispensable":[4],"in":[5,33,44,114],"multi-modality":[6],"medical":[7],"imaging,":[8],"which":[9],"enable":[10],"joint":[11,62],"multi-modal":[12],"image":[13,30,36,47,64,101,111],"reconstruction":[14,65,112],"(JmmIR)":[15],"by":[16,87,103],"communication":[17],"of":[18,35,41,73,116],"feature":[19,42],"information":[20],"among":[21],"different":[22],"modalities.":[23],"In":[24],"this":[25],"work,":[26],"we":[27],"establish":[28],"an":[29],"measure":[32,49],"terms":[34,115],"edges":[37],"from":[38],"Tver-sky's":[39],"theory":[40],"psychology.":[45],"This":[46],"will":[50],"not":[51],"force":[52],"the":[53,71,95,99],"nonexistent":[54],"structures":[55],"to":[56,61,70,108],"be":[57],"reconstructed":[58,100],"when":[59],"applied":[60,69],"bi-modal":[63],"(JbmIR).":[66],"It":[67,91],"is":[68,85,92],"JbmIR":[72],"diffuse":[74],"optical":[75],"tomography":[76,81],"(DOT)":[77],"and":[78],"X-ray":[79],"computed":[80],"(XCT).":[82],"The":[83],"performance":[84],"evaluated":[86],"two":[88],"numerical":[89],"phantoms.":[90],"found":[93],"that":[94],"proposed":[96],"method":[97],"improves":[98],"quality":[102],"more":[104],"than":[105],"10%":[106],"compared":[107],"single":[109],"modality":[110],"(SmIR)":[113],"SSIM.":[117]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}