{"id":"https://openalex.org/W2063853287","doi":"https://doi.org/10.1109/icip.2014.7025928","title":"Restoration of ultrasound images using a hierarchical Bayesian model with a generalized Gaussian prior","display_name":"Restoration of ultrasound images using a hierarchical Bayesian model with a generalized Gaussian prior","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2063853287","doi":"https://doi.org/10.1109/icip.2014.7025928","mag":"2063853287"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101873671","display_name":"Ningning Zhao","orcid":"https://orcid.org/0000-0003-3995-033X"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ningning Zhao","raw_affiliation_strings":["University of Toulouse, Universit\u00e9 Paul Sabatier, Toulouse, France","Signal et Communications","Traitement et Compr\u00e9hension d\u2019Images"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toulouse, Universit\u00e9 Paul Sabatier, Toulouse, France","institution_ids":["https://openalex.org/I134560555"]},{"raw_affiliation_string":"Signal et Communications","institution_ids":[]},{"raw_affiliation_string":"Traitement et Compr\u00e9hension d\u2019Images","institution_ids":["https://openalex.org/I4210105651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039493086","display_name":"Adrian Basarab","orcid":"https://orcid.org/0000-0002-5642-7244"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adrian Basarab","raw_affiliation_strings":["University of Toulouse, Universit\u00e9 Paul Sabatier, Toulouse, France","Traitement et Compr\u00e9hension d\u2019Images","Universit\u00e9 Toulouse III - Paul Sabatier"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toulouse, Universit\u00e9 Paul Sabatier, Toulouse, France","institution_ids":["https://openalex.org/I134560555"]},{"raw_affiliation_string":"Traitement et Compr\u00e9hension d\u2019Images","institution_ids":["https://openalex.org/I4210105651"]},{"raw_affiliation_string":"Universit\u00e9 Toulouse III - Paul Sabatier","institution_ids":["https://openalex.org/I134560555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036242071","display_name":"Denis Kouam\u00e9","orcid":"https://orcid.org/0000-0002-2143-759X"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Denis Kouame","raw_affiliation_strings":["University of Toulouse, Universit\u00e9 Paul Sabatier, Toulouse, France","Traitement et Compr\u00e9hension d\u2019Images"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toulouse, Universit\u00e9 Paul Sabatier, Toulouse, France","institution_ids":["https://openalex.org/I134560555"]},{"raw_affiliation_string":"Traitement et Compr\u00e9hension d\u2019Images","institution_ids":["https://openalex.org/I4210105651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018816346","display_name":"Jean\u2010Yves Tourneret","orcid":"https://orcid.org/0000-0001-5219-3455"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"id":"https://openalex.org/I205747304","display_name":"Institut National Polytechnique de Toulouse","ror":"https://ror.org/033p9g875","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304"]},{"id":"https://openalex.org/I4396570610","display_name":"T\u00e9SA","ror":"https://ror.org/01zgcd031","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I4396570610"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Yves Tourneret","raw_affiliation_strings":["T\u00e9SA Laboratory, Toulouse, France","University of Toulouse, Toulouse, Cedex 7, France","CoMputational imagINg anD viSion","Institut National Polytechnique (Toulouse)","T\u00e9l\u00e9communications Spatiales et A\u00e9ronautiques - Telecommunications for Space ant Aeronautics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T\u00e9SA Laboratory, Toulouse, France","institution_ids":["https://openalex.org/I4396570610"]},{"raw_affiliation_string":"University of Toulouse, Toulouse, Cedex 7, France","institution_ids":["https://openalex.org/I17866349"]},{"raw_affiliation_string":"CoMputational imagINg anD viSion","institution_ids":[]},{"raw_affiliation_string":"Institut National Polytechnique (Toulouse)","institution_ids":["https://openalex.org/I205747304"]},{"raw_affiliation_string":"T\u00e9l\u00e9communications Spatiales et A\u00e9ronautiques - Telecommunications for Space ant Aeronautics","institution_ids":["https://openalex.org/I4396570610"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6976,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.95893224,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"4577","last_page":"4581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.7057929635047913},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6676618456840515},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.6156975030899048},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5597164034843445},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5561538338661194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5403078198432922},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5222535729408264},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.513731837272644},{"id":"https://openalex.org/keywords/bayesian-hierarchical-modeling","display_name":"Bayesian hierarchical modeling","score":0.48011350631713867},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4734874665737152},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.46819978952407837},{"id":"https://openalex.org/keywords/generalized-normal-distribution","display_name":"Generalized normal distribution","score":0.46654748916625977},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4607677459716797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43461453914642334},{"id":"https://openalex.org/keywords/gaussian-network-model","display_name":"Gaussian network model","score":0.42340028285980225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4226149320602417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40962666273117065},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4091285765171051},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3089923858642578},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"Normal distribution","score":0.20018699765205383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14434131979942322},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.12053334712982178}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.7057929635047913},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6676618456840515},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.6156975030899048},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5597164034843445},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5561538338661194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5403078198432922},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5222535729408264},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.513731837272644},{"id":"https://openalex.org/C191413810","wikidata":"https://www.wikidata.org/wiki/Q17100952","display_name":"Bayesian hierarchical modeling","level":4,"score":0.48011350631713867},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4734874665737152},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.46819978952407837},{"id":"https://openalex.org/C171383496","wikidata":"https://www.wikidata.org/wiki/Q2497477","display_name":"Generalized normal distribution","level":3,"score":0.46654748916625977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4607677459716797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43461453914642334},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.42340028285980225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4226149320602417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40962666273117065},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4091285765171051},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3089923858642578},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.20018699765205383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14434131979942322},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.12053334712982178},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2014.7025928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:oatao.univ-toulouse.fr:15170","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401987","display_name":"Open Archive Toulouse Archive Ouverte (University of Toulouse)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I17866349","host_organization_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","host_organization_lineage":["https://openalex.org/I17866349"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:HAL:hal-01399870v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01399870","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. pp. 4577-4581","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:oatao.univ-toulouse.fr:15170","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401987","display_name":"Open Archive Toulouse Archive Ouverte (University of Toulouse)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I17866349","host_organization_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","host_organization_lineage":["https://openalex.org/I17866349"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W143655314","https://openalex.org/W1982652137","https://openalex.org/W2067858689","https://openalex.org/W2104613587","https://openalex.org/W2119249988","https://openalex.org/W2119444931","https://openalex.org/W2125382552","https://openalex.org/W2133665775","https://openalex.org/W2138309709","https://openalex.org/W2150060382","https://openalex.org/W2158004511","https://openalex.org/W2163255491","https://openalex.org/W2478027467","https://openalex.org/W2499308752","https://openalex.org/W2954040150","https://openalex.org/W3150950615","https://openalex.org/W6678124507"],"related_works":["https://openalex.org/W3006235400","https://openalex.org/W4307475993","https://openalex.org/W2266006640","https://openalex.org/W2037795434","https://openalex.org/W4236276884","https://openalex.org/W397373641","https://openalex.org/W1574715033","https://openalex.org/W4229505085","https://openalex.org/W2094078243","https://openalex.org/W4213439144"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,16,43,80,92,96,102,114,118],"problem":[4],"of":[5,15,31,82,95,101],"ultrasound":[6,17],"image":[7,18],"restoration":[8],"within":[9],"a":[10,23,37,64],"Bayesian":[11,39,47,93,104],"framework.":[12],"The":[13,28,46,99],"distribution":[14,26],"is":[19,34,71,106],"assumed":[20],"to":[21,35,55,73,79,90],"be":[22,56],"generalized":[24],"Gaussian":[25],"(GGD).":[27],"main":[29],"contribution":[30],"this":[32,51],"work":[33],"propose":[36],"hierarchical":[38],"model":[40,52,105],"for":[41],"estimating":[42],"GGD":[44,97],"parameters.":[45,98],"estimators":[48,94],"associated":[49],"with":[50,108,113,117],"are":[53,87],"difficult":[54],"expressed":[57],"in":[58],"closed":[59],"form.":[60],"Thus":[61],"we":[62],"investigate":[63],"Markov":[65],"chain":[66],"Monte":[67],"Carlo":[68],"method":[69],"which":[70],"used":[72,89],"generate":[74],"samples":[75,86],"asymptotically":[76],"distributed":[77],"according":[78],"posterior":[81],"interest.":[83],"These":[84],"generated":[85],"finally":[88],"compute":[91],"performance":[100,115],"proposed":[103],"tested":[107],"synthetic":[109],"data":[110],"and":[111],"compared":[112],"obtained":[116],"expectation":[119],"maximization":[120],"algorithm.":[121]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}