{"id":"https://openalex.org/W4285158820","doi":"https://doi.org/10.1109/tii.2022.3185050","title":"FCFusion: Fractal Componentwise Modeling With Group Sparsity for Medical Image Fusion","display_name":"FCFusion: Fractal Componentwise Modeling With Group Sparsity for Medical Image Fusion","publication_year":2022,"publication_date":"2022-06-21","ids":{"openalex":"https://openalex.org/W4285158820","doi":"https://doi.org/10.1109/tii.2022.3185050"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3185050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3185050","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11250/3058529","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056604663","display_name":"Guoxia Xu","orcid":"https://orcid.org/0000-0002-0036-8820"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Guoxia Xu","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway"],"raw_orcid":"https://orcid.org/0000-0002-0036-8820","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011750305","display_name":"Xiaoxue Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxue Deng","raw_affiliation_strings":["Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055675863","display_name":"Xiaokang Zhou","orcid":"https://orcid.org/0000-0003-3488-4679"},"institutions":[{"id":"https://openalex.org/I171494771","display_name":"Shiga University","ror":"https://ror.org/01vvhy971","country_code":"JP","type":"education","lineage":["https://openalex.org/I171494771"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaokang Zhou","raw_affiliation_strings":["Faculty of Data Science, Shiga University, Hikone, Japan","RIKEN Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3488-4679","affiliations":[{"raw_affiliation_string":"Faculty of Data Science, Shiga University, Hikone, Japan","institution_ids":["https://openalex.org/I171494771"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088359880","display_name":"Marius Pedersen","orcid":"https://orcid.org/0000-0001-9797-5821"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Marius Pedersen","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway"],"raw_orcid":"https://orcid.org/0000-0001-9797-5821","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059135159","display_name":"Lucia Cimmino","orcid":"https://orcid.org/0000-0003-4880-4975"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lucia Cimmino","raw_affiliation_strings":["Department of Computer Science, University of Salerno, Fisciano, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4880-4975","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway"],"raw_orcid":"https://orcid.org/0000-0001-9301-5989","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1824,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9272448,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"18","issue":"12","first_page":"9141","last_page":"9150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.983299970626831,"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/image-fusion","display_name":"Image fusion","score":0.6320359706878662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.54158616065979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.531484842300415},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5240733027458191},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4853323996067047},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.41882041096687317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3642003536224365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3508489429950714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33917540311813354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3227469325065613},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.284216970205307}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6320359706878662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.54158616065979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.531484842300415},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5240733027458191},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4853323996067047},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.41882041096687317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3642003536224365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3508489429950714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33917540311813354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3227469325065613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.284216970205307},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2022.3185050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3185050","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/3058529","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3058529","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"9141-9150","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ntnuopen.ntnu.no:11250/3058529","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3058529","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"9141-9150","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1560910787","https://openalex.org/W1884511227","https://openalex.org/W1946953458","https://openalex.org/W1965557194","https://openalex.org/W1982696831","https://openalex.org/W1986517950","https://openalex.org/W1999316653","https://openalex.org/W2026916126","https://openalex.org/W2034473161","https://openalex.org/W2048106635","https://openalex.org/W2050849575","https://openalex.org/W2068941797","https://openalex.org/W2111744777","https://openalex.org/W2116702374","https://openalex.org/W2139182243","https://openalex.org/W2139906447","https://openalex.org/W2146353910","https://openalex.org/W2168783614","https://openalex.org/W2744198280","https://openalex.org/W2787890383","https://openalex.org/W2791983077","https://openalex.org/W2808591023","https://openalex.org/W2897325195","https://openalex.org/W2912581987","https://openalex.org/W2922119082","https://openalex.org/W2932617190","https://openalex.org/W2953084200","https://openalex.org/W2961970125","https://openalex.org/W2963787388","https://openalex.org/W2984035378","https://openalex.org/W3007473102","https://openalex.org/W3022522270","https://openalex.org/W3025177399","https://openalex.org/W3126442124","https://openalex.org/W3127287457","https://openalex.org/W3133873791","https://openalex.org/W3164675724","https://openalex.org/W3200343674","https://openalex.org/W4226134668","https://openalex.org/W4226155060"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4221142204","https://openalex.org/W2191179271"],"abstract_inverted_index":{"Multimodal":[0],"image":[1,132],"fusion":[2,37,133],"is":[3,72,79,97],"the":[4,35,42,52,61,65,69,84,87,91,100,135],"process":[5],"of":[6,44,67,95,127,137],"combing":[7],"relevant":[8],"biological":[9],"information":[10,63],"that":[11,107],"can":[12],"be":[13],"used":[14],"for":[15],"automated":[16],"industrial":[17],"application.":[18],"In":[19],"this":[20],"article,":[21],"we":[22,40],"present":[23],"a":[24,111,123],"novel":[25],"framework":[26],"combining":[27],"fractal":[28,53],"constraint":[29],"with":[30],"group":[31,70],"sparsity":[32,71],"to":[33,50,59,82,99],"achieve":[34],"optimal":[36],"quality.":[38],"First,":[39],"adopt":[41],"idea":[43],"patch":[45],"division":[46],"and":[47,118],"componentwise":[48],"separation":[49],"perceive":[51],"characteristics":[54],"across":[55,86],"multimodality":[56],"sources.":[57],"Then,":[58],"preserve":[60],"spatial":[62],"against":[64],"redundancy":[66],"component-entanglement,":[68],"proposed.":[73],"A":[74],"dual":[75],"variable":[76],"weighting":[77],"rule":[78],"inherently":[80],"embedded":[81],"mitigate":[83],"overfitting":[85],"component":[88],"penalty.":[89],"Furthermore,":[90],"alternating":[92],"direction":[93],"method":[94],"multipliers":[96],"conducted":[98],"proposed":[101],"model":[102,109],"optimization.":[103],"The":[104],"experiments":[105],"show":[106],"our":[108,138],"has":[110],"better":[112],"performance":[113],"in":[114],"quantitative":[115],"visual":[116],"quality":[117],"qualitative":[119],"evaluation":[120],"analysis.":[121],"Finally,":[122],"real":[124],"segmentation":[125],"application":[126],"positron":[128],"emission":[129],"tomography/computed":[130],"tomography":[131],"proves":[134],"effectiveness":[136],"algorithm.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
