{"id":"https://openalex.org/W2496289916","doi":"https://doi.org/10.1007/978-3-319-41576-5_9","title":"Automated Analysis of Muscle X-ray Diffraction Imaging with MCMC","display_name":"Automated Analysis of Muscle X-ray Diffraction Imaging with MCMC","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2496289916","doi":"https://doi.org/10.1007/978-3-319-41576-5_9","mag":"2496289916"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-41576-5_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-41576-5_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5019009176","display_name":"C. David Williams","orcid":"https://orcid.org/0000-0003-3063-4656"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C. David Williams","raw_affiliation_strings":["University of Washington, Seattle, WA, 98195, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, 98195, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064988079","display_name":"Magdalena Ba\u0142azi\u0144ska","orcid":"https://orcid.org/0000-0002-6805-0325"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Magdalena Balazinska","raw_affiliation_strings":["University of Washington, Seattle, WA, 98195, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, 98195, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111704548","display_name":"Thomas L. Daniel","orcid":"https://orcid.org/0000-0002-2627-3686"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas L. Daniel","raw_affiliation_strings":["University of Washington, Seattle, WA, 98195, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, 98195, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019009176"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.5978,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85495675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10923","display_name":"Force Microscopy Techniques and Applications","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.800034761428833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7482218742370605},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6214439868927002},{"id":"https://openalex.org/keywords/diffraction","display_name":"Diffraction","score":0.5985601544380188},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.5060037970542908},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4923194646835327},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.459097683429718},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.388427734375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36784490942955017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3471525013446808},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.28363972902297974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17314696311950684},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17029929161071777},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14774826169013977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11485433578491211},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11130473017692566},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.10534167289733887}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.800034761428833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7482218742370605},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6214439868927002},{"id":"https://openalex.org/C207114421","wikidata":"https://www.wikidata.org/wiki/Q133900","display_name":"Diffraction","level":2,"score":0.5985601544380188},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.5060037970542908},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4923194646835327},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.459097683429718},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.388427734375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36784490942955017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3471525013446808},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28363972902297974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17314696311950684},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17029929161071777},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14774826169013977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11485433578491211},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11130473017692566},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.10534167289733887}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-41576-5_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-41576-5_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.710.3647","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.710.3647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homes.cs.washington.edu/%7Emagda/papers/williams-dmah15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2017745285","https://openalex.org/W2021183878","https://openalex.org/W2063397409","https://openalex.org/W2070122055","https://openalex.org/W2072614512","https://openalex.org/W2093948920","https://openalex.org/W2103624248","https://openalex.org/W2144388369","https://openalex.org/W2165535734","https://openalex.org/W3102014803"],"related_works":["https://openalex.org/W1539704186","https://openalex.org/W2399890175","https://openalex.org/W3202479762","https://openalex.org/W4308177873","https://openalex.org/W2480493049","https://openalex.org/W4322582183","https://openalex.org/W1937392525","https://openalex.org/W2347632764","https://openalex.org/W2286687623","https://openalex.org/W2353982255"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}