{"id":"https://openalex.org/W3015550696","doi":"https://doi.org/10.1109/icassp40776.2020.9054568","title":"Robust Global Optimized Affine Registration Method for Microscopic Images of Biological Tissue","display_name":"Robust Global Optimized Affine Registration Method for Microscopic Images of Biological Tissue","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015550696","doi":"https://doi.org/10.1109/icassp40776.2020.9054568","mag":"3015550696"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5015700431","display_name":"Yanan Lv","orcid":"https://orcid.org/0000-0002-7466-7217"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanan Lv","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329970","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-6922-2838"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347297","display_name":"Chang Shu","orcid":"https://orcid.org/0000-0003-1450-6902"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Shu","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676754","display_name":"Hua Han","orcid":"https://orcid.org/0000-0003-4713-4631"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Han","raw_affiliation_strings":["School of Future Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Future Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015700431"],"corresponding_institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.36674061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1070","last_page":"1074"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/affine-transformation","display_name":"Affine transformation","score":0.9171324968338013},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7300512790679932},{"id":"https://openalex.org/keywords/affine-coordinate-system","display_name":"Affine coordinate system","score":0.6297821402549744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5783125758171082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.554973840713501},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.5457437038421631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5422024130821228},{"id":"https://openalex.org/keywords/affine-shape-adaptation","display_name":"Affine shape adaptation","score":0.5195448994636536},{"id":"https://openalex.org/keywords/shearing","display_name":"Shearing (physics)","score":0.49834275245666504},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.44762536883354187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43012070655822754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.383694052696228},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.24209678173065186},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18796375393867493},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14683854579925537},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06415513157844543}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.9171324968338013},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7300512790679932},{"id":"https://openalex.org/C95565831","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine coordinate system","level":4,"score":0.6297821402549744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5783125758171082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.554973840713501},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.5457437038421631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5422024130821228},{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.5195448994636536},{"id":"https://openalex.org/C152279782","wikidata":"https://www.wikidata.org/wiki/Q13583542","display_name":"Shearing (physics)","level":2,"score":0.49834275245666504},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.44762536883354187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43012070655822754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.383694052696228},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.24209678173065186},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18796375393867493},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14683854579925537},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06415513157844543},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1513082520","https://openalex.org/W1658644876","https://openalex.org/W1871230255","https://openalex.org/W1993487882","https://openalex.org/W2026140461","https://openalex.org/W2126401690","https://openalex.org/W2131938193","https://openalex.org/W2133665775","https://openalex.org/W2168906684","https://openalex.org/W2169331639","https://openalex.org/W2242754697","https://openalex.org/W2583762284","https://openalex.org/W2605475473","https://openalex.org/W2765581320","https://openalex.org/W6637011178","https://openalex.org/W6690577104"],"related_works":["https://openalex.org/W2184784635","https://openalex.org/W2038416447","https://openalex.org/W2077614002","https://openalex.org/W2498386001","https://openalex.org/W1510464305","https://openalex.org/W2016861691","https://openalex.org/W2036246238","https://openalex.org/W4303446453","https://openalex.org/W2741586649","https://openalex.org/W3163577283"],"abstract_inverted_index":{"Affine":[0],"registration":[1,27,49,102,121],"can":[2,54,110],"fit":[3],"the":[4,24,38,62,65,89,112,116,124,131],"non-rigid":[5],"deformation":[6,125],"of":[7,18,23,40,68,91,118,126,133],"slices":[8,127],"effectively,":[9],"and":[10,129],"it":[11],"is":[12,51,71,85],"widely":[13],"used":[14,56],"in":[15,31,37,57],"volume":[16,58],"reconstruction":[17],"biological":[19],"tissue.":[20],"But":[21],"most":[22],"existing":[25],"affine":[26,48,66,83,107],"methods":[28],"are":[29],"registered":[30],"a":[32,45,99],"given":[33],"sequence,":[34],"which":[35,53],"results":[36],"accumulation":[39,117],"errors.":[41,119],"In":[42],"this":[43],"paper,":[44],"global":[46],"optimized":[47],"method":[50,97],"proposed,":[52],"be":[55],"reconstruction.":[59],"To":[60],"eliminate":[61],"cumulative":[63],"error,":[64],"transformation":[67,84],"all":[69],"images":[70],"estimated":[72],"simultaneously":[73],"based":[74],"on":[75,82],"an":[76],"energy":[77],"function.":[78],"A":[79],"soft":[80],"penalty":[81],"added":[86],"to":[87],"restrict":[88],"shearing":[90],"images.":[92,134],"Experiments":[93],"show":[94],"that":[95],"our":[96],"provides":[98],"more":[100],"reliable":[101],"result":[103,122],"compared":[104],"with":[105],"sequential":[106],"registration.":[108],"It":[109],"solve":[111],"problems":[113],"caused":[114],"by":[115],"The":[120],"fits":[123],"well":[128],"preserves":[130],"rigidity":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}