{"id":"https://openalex.org/W2408815226","doi":"https://doi.org/10.1109/icra.2016.7487594","title":"Bayesian estimation of non-rigid mechanical parameters using temporal sequences of deformation samples","display_name":"Bayesian estimation of non-rigid mechanical parameters using temporal sequences of deformation samples","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2408815226","doi":"https://doi.org/10.1109/icra.2016.7487594","mag":"2408815226"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2016.7487594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2016.7487594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Automation (ICRA)","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/A5021966023","display_name":"Shan Yang","orcid":"https://orcid.org/0000-0002-3564-5111"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shan Yang","raw_affiliation_strings":["Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102878981","display_name":"Ming C. Lin","orcid":"https://orcid.org/0000-0003-3736-6949"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming C. Lin","raw_affiliation_strings":["Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"81","issue":null,"first_page":"4036","last_page":"4043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9957000017166138,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9957000017166138,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9955000281333923,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/property","display_name":"Property (philosophy)","score":0.5883477926254272},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.5482287406921387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5475221872329712},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5422985553741455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393843650817871},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5279242992401123},{"id":"https://openalex.org/keywords/elasticity","display_name":"Elasticity (physics)","score":0.4877846837043762},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.4708497226238251},{"id":"https://openalex.org/keywords/medical-robotics","display_name":"Medical robotics","score":0.4592049717903137},{"id":"https://openalex.org/keywords/soft-robotics","display_name":"Soft robotics","score":0.4473876655101776},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41947633028030396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41801905632019043},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2610567510128021},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.1271207630634308}],"concepts":[{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5883477926254272},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.5482287406921387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5475221872329712},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5422985553741455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393843650817871},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5279242992401123},{"id":"https://openalex.org/C121854251","wikidata":"https://www.wikidata.org/wiki/Q62932","display_name":"Elasticity (physics)","level":2,"score":0.4877846837043762},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4708497226238251},{"id":"https://openalex.org/C2985005502","wikidata":"https://www.wikidata.org/wiki/Q6806593","display_name":"Medical robotics","level":3,"score":0.4592049717903137},{"id":"https://openalex.org/C2776058767","wikidata":"https://www.wikidata.org/wiki/Q24327151","display_name":"Soft robotics","level":3,"score":0.4473876655101776},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41947633028030396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41801905632019043},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2610567510128021},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.1271207630634308},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2016.7487594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2016.7487594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320312144","display_name":"Texas Heart Institute","ror":"https://ror.org/00r4vsg44"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W12526017","https://openalex.org/W1480663610","https://openalex.org/W1539907342","https://openalex.org/W1554596660","https://openalex.org/W1749494163","https://openalex.org/W1971623322","https://openalex.org/W1974494545","https://openalex.org/W1974915238","https://openalex.org/W1976741337","https://openalex.org/W1988003441","https://openalex.org/W1997944176","https://openalex.org/W2002980568","https://openalex.org/W2013832277","https://openalex.org/W2013969101","https://openalex.org/W2028378634","https://openalex.org/W2032552985","https://openalex.org/W2033594520","https://openalex.org/W2042462686","https://openalex.org/W2044046458","https://openalex.org/W2057738228","https://openalex.org/W2059133999","https://openalex.org/W2072665320","https://openalex.org/W2074349517","https://openalex.org/W2082254676","https://openalex.org/W2097733282","https://openalex.org/W2106299163","https://openalex.org/W2107218152","https://openalex.org/W2109991971","https://openalex.org/W2117102490","https://openalex.org/W2127890285","https://openalex.org/W2133117353","https://openalex.org/W2137596640","https://openalex.org/W2149811066","https://openalex.org/W2150913887","https://openalex.org/W2155781375","https://openalex.org/W2156476874","https://openalex.org/W2236623899","https://openalex.org/W2273674464","https://openalex.org/W2330192890","https://openalex.org/W2527171075","https://openalex.org/W3120842161","https://openalex.org/W4251957920","https://openalex.org/W6633125964","https://openalex.org/W6675980996","https://openalex.org/W6727918494"],"related_works":["https://openalex.org/W4312473168","https://openalex.org/W2326585759","https://openalex.org/W2625686229","https://openalex.org/W4211124276","https://openalex.org/W4312269480","https://openalex.org/W1912506680","https://openalex.org/W2160974886","https://openalex.org/W2890489835","https://openalex.org/W3017278983","https://openalex.org/W2353621230"],"abstract_inverted_index":{"Material":[0],"property":[1],"has":[2],"great":[3],"importance":[4],"in":[5],"medical":[6,41],"robotics.":[7],"The":[8,26],"mechanical":[9],"properties":[10],"of":[11,23,64,90,105],"the":[12,20,85,87,97],"human":[13,92],"soft":[14],"tissue,":[15],"are":[16],"important":[17],"to":[18,33,43],"characterize":[19],"tissue":[21],"deformation":[22,65],"each":[24],"patient.":[25],"(recovered)":[27],"elasticity":[28],"parameters":[29,104],"can":[30],"assist":[31],"surgeons":[32],"perform":[34],"better":[35],"pre-op":[36],"surgical":[37,47],"planning":[38],"and":[39,94,107],"enable":[40],"robots":[42],"carry":[44],"out":[45],"personalized":[46],"procedures.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"present":[53],"a":[54,61,91],"novel":[55],"algorithm":[56],"on":[57,84],"mechanical-property":[58],"estimation":[59],"from":[60,100],"temporal":[62],"sequence":[63],"samples.":[66],"It":[67],"does":[68],"not":[69],"require":[70],"an":[71],"external":[72],"force-application":[73],"measurement":[74],"device":[75],"or":[76],"landmark-based":[77],"displacement":[78],"tracking.":[79],"We":[80],"test":[81],"our":[82],"approach":[83],"reconstruction":[86],"Young's":[88],"modulus":[89],"heart":[93],"further":[95],"validate":[96],"results":[98],"derived":[99],"videos":[101],"using":[102],"known":[103],"tennis":[106],"foam":[108],"balls.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
