{"id":"https://openalex.org/W2806130745","doi":"https://doi.org/10.1109/isbi.2018.8363580","title":"Bias correction for non-stationary noise filtering in MRI","display_name":"Bias correction for non-stationary noise filtering in MRI","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2806130745","doi":"https://doi.org/10.1109/isbi.2018.8363580","mag":"2806130745"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","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/A5067083739","display_name":"Tomasz Pieciak","orcid":"https://orcid.org/0000-0002-7543-3658"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Tomasz Pieciak","raw_affiliation_strings":["LPI, Universidad de Valladolid, Spain"],"affiliations":[{"raw_affiliation_string":"LPI, Universidad de Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003960278","display_name":"I\u00f1aki Rabanillo\u2010Viloria","orcid":null},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Inaki Rabanillo-Viloria","raw_affiliation_strings":["LPI, Universidad de Valladolid, Spain"],"affiliations":[{"raw_affiliation_string":"LPI, Universidad de Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065517665","display_name":"Santiago Aja\u2010Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-5337-5071"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Santiago Aja-Fernandez","raw_affiliation_strings":["LPI, Universidad de Valladolid, Spain"],"affiliations":[{"raw_affiliation_string":"LPI, Universidad de Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067083739"],"corresponding_institution_ids":["https://openalex.org/I108103353"],"apc_list":null,"apc_paid":null,"fwci":0.8357,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78401578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"307","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5974294543266296},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5905043482780457},{"id":"https://openalex.org/keywords/rician-fading","display_name":"Rician fading","score":0.49111124873161316},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.46034836769104004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45582517981529236},{"id":"https://openalex.org/keywords/stationary-process","display_name":"Stationary process","score":0.4348060190677643},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29422372579574585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27384722232818604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25480619072914124},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07590299844741821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5974294543266296},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5905043482780457},{"id":"https://openalex.org/C60472773","wikidata":"https://www.wikidata.org/wiki/Q7331156","display_name":"Rician fading","level":4,"score":0.49111124873161316},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.46034836769104004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45582517981529236},{"id":"https://openalex.org/C110405555","wikidata":"https://www.wikidata.org/wiki/Q1192209","display_name":"Stationary process","level":2,"score":0.4348060190677643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29422372579574585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27384722232818604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25480619072914124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07590299844741821},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2018.8363580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1593077517","https://openalex.org/W1871442299","https://openalex.org/W1965646345","https://openalex.org/W2084086452","https://openalex.org/W2097073572","https://openalex.org/W2099801199","https://openalex.org/W2144783994"],"related_works":["https://openalex.org/W2146680430","https://openalex.org/W2100999214","https://openalex.org/W1973317750","https://openalex.org/W1641214707","https://openalex.org/W2166688772","https://openalex.org/W2170880428","https://openalex.org/W4367628250","https://openalex.org/W3034789145","https://openalex.org/W4388819787","https://openalex.org/W383418545"],"abstract_inverted_index":{"The":[0,73],"aggregation":[1],"of":[2,90],"non-stationary":[3,43,64,68],"distributed":[4,47,70],"magnetic":[5],"resonance":[6],"imaging":[7],"(MRI)":[8],"samples":[9],"results":[10],"in":[11],"a":[12,51,87],"systematic":[13],"bias":[14,40,92],"that":[15],"should":[16],"be":[17],"corrected":[18],"prior":[19],"to":[20,37,62,86],"any":[21],"further":[22],"numerical":[23],"processing,":[24],"such":[25],"as":[26],"quantitative":[27],"analysis.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32,53],"analytically":[33],"derive":[34],"two":[35],"formulas":[36],"compensate":[38],"the":[39,55,95],"from":[41],"aggregated":[42],"non-central":[44],"chi":[45],"(nc-\u03c7)":[46],"random":[48],"variables.":[49],"As":[50],"proof-of-concept,":[52],"reformulate":[54],"unbiased":[56],"non-local":[57],"means":[58],"(UNLM)":[59],"filtering":[60],"scheme":[61],"handle":[63],"nc-\u03c7":[65],"and":[66,79],"particularly":[67],"Rician":[69],"MR":[71,83],"data.":[72],"proposals":[74],"are":[75],"validated":[76],"over":[77,94],"synthetic":[78],"real":[80],"parallel":[81],"accelerated":[82],"reconstructions":[84],"leading":[85],"considerable":[88],"reduction":[89],"inherent":[91],"component":[93],"state-of-the-art":[96],"UNLM":[97],"approach.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}