{"id":"https://openalex.org/W1969494441","doi":"https://doi.org/10.1109/iww-bci.2013.6506639","title":"Learning Markov random field image prior for pixelation removal of fiber microscopy using sparse coding based on Bayesian framework","display_name":"Learning Markov random field image prior for pixelation removal of fiber microscopy using sparse coding based on Bayesian framework","publication_year":2013,"publication_date":"2013-02-01","ids":{"openalex":"https://openalex.org/W1969494441","doi":"https://doi.org/10.1109/iww-bci.2013.6506639","mag":"1969494441"},"language":"en","primary_location":{"id":"doi:10.1109/iww-bci.2013.6506639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iww-bci.2013.6506639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070713492","display_name":"Cheon-Yang Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cheon-Yang Lee","raw_affiliation_strings":["Department ofBrain and Cognitive Engineering, Korea University, Seoul, South Korea","Dept. of brain and cognitive engineering, Korea University Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department ofBrain and Cognitive Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Dept. of brain and cognitive engineering, Korea University Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016279912","display_name":"Jae\u2010Ho Han","orcid":"https://orcid.org/0000-0002-6490-9825"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Ho Han","raw_affiliation_strings":["Department ofBrain and Cognitive Engineering, Korea University, Seoul, South Korea","Dept. of brain and cognitive engineering, Korea University Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department ofBrain and Cognitive Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Dept. of brain and cognitive engineering, Korea University Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.6287,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59558868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":1.0,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983000159263611,"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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7563726305961609},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6709111332893372},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6490148305892944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.596348226070404},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.5615304112434387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5161891579627991},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.48304039239883423},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4779401123523712},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4496231973171234},{"id":"https://openalex.org/keywords/fiber-bundle","display_name":"Fiber bundle","score":0.4387875497341156},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4349815547466278},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4239428639411926},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.3296475112438202},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1565755009651184},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1429627239704132},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1122840940952301}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7563726305961609},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6709111332893372},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6490148305892944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.596348226070404},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.5615304112434387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5161891579627991},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.48304039239883423},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4779401123523712},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4496231973171234},{"id":"https://openalex.org/C146710177","wikidata":"https://www.wikidata.org/wiki/Q1154996","display_name":"Fiber bundle","level":3,"score":0.4387875497341156},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4349815547466278},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4239428639411926},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.3296475112438202},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1565755009651184},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1429627239704132},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1122840940952301},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iww-bci.2013.6506639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iww-bci.2013.6506639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1967478969","https://openalex.org/W2033764870","https://openalex.org/W2039539239","https://openalex.org/W2041551133","https://openalex.org/W2055967343","https://openalex.org/W2071689705","https://openalex.org/W2078804948","https://openalex.org/W2079393071","https://openalex.org/W2081598331","https://openalex.org/W2113230664"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004","https://openalex.org/W1741504538","https://openalex.org/W2323668004","https://openalex.org/W4308623176","https://openalex.org/W4230676417","https://openalex.org/W2019696434"],"abstract_inverted_index":{"We":[0],"were":[1],"able":[2],"to":[3,38],"efficiently":[4],"remove":[5],"the":[6,10,17,21,40,44,51,61,73,77,86,90],"morphological":[7],"artifact":[8],"of":[9,63,89],"fiber":[11,66],"bundle":[12],"based":[13],"endo-microscopy":[14],"and":[15],"improve":[16],"featured":[18],"patterns":[19],"within":[20],"object":[22],"image":[23,34,54,58],"acquired":[24],"by":[25,60],"using":[26],"non-invasive":[27],"near":[28],"infrared":[29],"optical":[30],"coherence":[31],"tomography.":[32],"Our":[33],"reconstruction":[35],"methodology":[36],"starts":[37],"estimate":[39,85],"original":[41,87],"shape":[42,88],"from":[43,50,76],"regions":[45],"that":[46,81],"are":[47],"directly":[48],"damaged":[49],"en":[52],"face":[53],"which":[55],"contains":[56],"significant":[57],"degradation":[59],"pixelation":[62],"numerous":[64],"imaging":[65],"units.":[67],"Then":[68],"we":[69,82],"have":[70],"iteratively":[71],"extended":[72],"neighbor":[74],"areas":[75],"initial":[78],"status":[79],"so":[80],"can":[83],"successfully":[84],"missing":[91],"pattern.":[92]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}