{"id":"https://openalex.org/W1646124425","doi":"https://doi.org/10.1109/icinfa.2015.7279614","title":"Non-rigid registration with constraint of anatomical landmarks for assessment of locoregional therapy","display_name":"Non-rigid registration with constraint of anatomical landmarks for assessment of locoregional therapy","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1646124425","doi":"https://doi.org/10.1109/icinfa.2015.7279614","mag":"1646124425"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2015.7279614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","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/A5037238008","display_name":"Chunhua Dong","orcid":"https://orcid.org/0000-0002-7026-6643"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chunhua Dong","raw_affiliation_strings":["College of Information Sci. and Eng., Ritsumeikan Univ., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Sci. and Eng., Ritsumeikan Univ., Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]},{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["College of Computer Sci. and Tech., Zhejiang Univ., China","College of Information Sci. and Eng., Ritsumeikan Univ., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Sci. and Tech., Zhejiang Univ., China","institution_ids":["https://openalex.org/I1328775524","https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Information Sci. and Eng., Ritsumeikan Univ., Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055543469","display_name":"Chen-Lun Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chen-Lun Lin","raw_affiliation_strings":["College of Information Sci. and Eng., Ritsumeikan Univ., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Sci. and Eng., Ritsumeikan Univ., Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041576626","display_name":"Toshihito Seki","orcid":"https://orcid.org/0009-0003-6529-9998"},"institutions":[{"id":"https://openalex.org/I126884977","display_name":"Kansai Medical University","ror":"https://ror.org/001xjdh50","country_code":"JP","type":"education","lineage":["https://openalex.org/I126884977"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihito Seki","raw_affiliation_strings":["Department of Gastroenterology and Hepatology, Kansai Medical University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Gastroenterology and Hepatology, Kansai Medical University, Japan","institution_ids":["https://openalex.org/I126884977"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028373649","display_name":"Ryosuke Inoguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I126884977","display_name":"Kansai Medical University","ror":"https://ror.org/001xjdh50","country_code":"JP","type":"education","lineage":["https://openalex.org/I126884977"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Inoguchi","raw_affiliation_strings":["Department of Gastroenterology and Hepatology, Kansai Medical University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Gastroenterology and Hepatology, Kansai Medical University, Japan","institution_ids":["https://openalex.org/I126884977"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56479294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"1987","last_page":"1991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7372614145278931},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6678068041801453},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6394550800323486},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5019280910491943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47059619426727295},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.4502585828304291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3841140866279602},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2240692377090454},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08626380562782288},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06582039594650269}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7372614145278931},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6678068041801453},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6394550800323486},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5019280910491943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47059619426727295},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.4502585828304291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3841140866279602},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2240692377090454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08626380562782288},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06582039594650269},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2015.7279614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4399999976158142,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W375680584","https://openalex.org/W2005126631","https://openalex.org/W2043433304","https://openalex.org/W2055186185","https://openalex.org/W2113576511","https://openalex.org/W2156875677","https://openalex.org/W2189345746","https://openalex.org/W2316476800","https://openalex.org/W6687275186"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W1971024059","https://openalex.org/W1502062143","https://openalex.org/W4224236531","https://openalex.org/W4291993329","https://openalex.org/W2063177452","https://openalex.org/W2413982977","https://openalex.org/W2268850994"],"abstract_inverted_index":{"Locoregional":[0],"therapy":[1],"(LT)":[2],"is":[3,23,34],"a":[4,24,41],"popular":[5],"method":[6,44,78,100],"to":[7],"cure":[8],"hepatocellular":[9],"carcinoma":[10],"(HCC)":[11],"of":[12,47,54,73,97],"liver":[13],"in":[14],"the":[15,20],"last":[16],"few":[17],"years.":[18],"Evaluating":[19],"treated":[21,52],"margin":[22,53],"critical":[25],"factor":[26],"for":[27,50,86,91],"predicting":[28],"local":[29],"recurrence":[30],"after":[31],"locoregional":[32,55],"treatment":[33],"done.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"proposed":[40,77,99],"non-rigid":[42,60],"registration":[43,82],"with":[45,58,104],"constraint":[46],"anatomic":[48,93],"landmarks":[49],"assessing":[51],"therapy.":[56],"Compared":[57],"conventional":[59],"registration,":[61],"which":[62],"uses":[63],"only":[64,85],"mutual":[65],"information":[66],"as":[67],"cost":[68],"function":[69],"(without":[70],"any":[71],"constraints":[72],"anatomical":[74],"structure),":[75],"our":[76,98],"can":[79],"achieve":[80],"high":[81],"accuracy":[83],"not":[84],"shape":[87],"warping,":[88],"but":[89],"also":[90],"internal":[92],"structure.":[94],"The":[95],"effectiveness":[96],"has":[101],"been":[102],"demonstrated":[103],"clinical":[105],"date":[106],"set.":[107]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}