{"id":"https://openalex.org/W2167566617","doi":"https://doi.org/10.1109/icip.2008.4712281","title":"Improvement of accuracy in deformable registration in radiation therapy","display_name":"Improvement of accuracy in deformable registration in radiation therapy","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2167566617","doi":"https://doi.org/10.1109/icip.2008.4712281","mag":"2167566617"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5102770164","display_name":"Xiaojing Ye","orcid":"https://orcid.org/0000-0002-0516-4974"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaojing Ye","raw_affiliation_strings":["Department of Mathematics, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058530714","display_name":"Yunmei Chen","orcid":"https://orcid.org/0000-0002-4716-303X"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunmei Chen","raw_affiliation_strings":["Department of Mathematics, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102770164"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17085536,"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":"2420","last_page":"2423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9965999722480774,"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5880957841873169},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5624457001686096},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5576199293136597},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5549851655960083},{"id":"https://openalex.org/keywords/gaussian-network-model","display_name":"Gaussian network model","score":0.5537921190261841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5388083457946777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5166509747505188},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.4866669774055481},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4805348515510559},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4452035129070282},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4367217421531677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.411360502243042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4035680294036865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3759281635284424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3648480772972107},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29037997126579285},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2124958634376526},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.09374406933784485},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08915674686431885}],"concepts":[{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5880957841873169},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5624457001686096},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5576199293136597},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5549851655960083},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.5537921190261841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5388083457946777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5166509747505188},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.4866669774055481},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4805348515510559},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4452035129070282},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4367217421531677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.411360502243042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4035680294036865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3759281635284424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3648480772972107},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29037997126579285},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2124958634376526},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.09374406933784485},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08915674686431885},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4712281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1974983861","https://openalex.org/W1990885164","https://openalex.org/W1991968407","https://openalex.org/W2007897132","https://openalex.org/W2026068357","https://openalex.org/W2040729395","https://openalex.org/W2116040950","https://openalex.org/W2140139548","https://openalex.org/W2164822588"],"related_works":["https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2361092061","https://openalex.org/W3004218185","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W4390241083","https://openalex.org/W4245457074","https://openalex.org/W2191886813","https://openalex.org/W1986317414"],"abstract_inverted_index":{"In":[0,38],"this":[1,39],"paper,":[2],"we":[3,41],"propose":[4],"a":[5,71,88],"segmentation":[6],"assisted":[7],"registration":[8,102],"model.":[9],"It":[10,66],"partitions":[11],"the":[12,21,50,57,63,74,85,91,101,112],"domain":[13],"of":[14,49,56,62,73,76],"images":[15],"into":[16],"several":[17],"regions":[18],"such":[19],"that":[20,45],"residue":[22,51],"image":[23],"in":[24,52,90,98],"each":[25,53],"region":[26],"is":[27,87],"identically":[28],"distributed":[29],"with":[30],"zero":[31],"mean":[32],"and":[33,60,80,106,116],"variance":[34,86],"to":[35],"be":[36,68],"optimized.":[37],"model,":[40],"minimize":[42],"an":[43],"energy":[44],"combines":[46],"negative":[47],"log-likelihood":[48],"region,":[54],"smoothness":[55],"deformation":[58],"field":[59],"length":[61],"partition":[64],"curve.":[65],"can":[67],"viewed":[69],"as":[70],"generalization":[72],"sum":[75],"squared":[77],"difference":[78],"model":[79,83],"global":[81],"Gaussian":[82],"where":[84],"constant":[89],"entire":[92],"domain.":[93],"By":[94],"taking":[95],"different":[96,99],"variances":[97],"regions,":[100],"becomes":[103],"more":[104],"efficient":[105],"accurate,":[107],"which":[108],"are":[109],"demonstrated":[110],"by":[111],"experiments":[113],"on":[114],"synthetic":[115],"clinical":[117],"data.":[118]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
