{"id":"https://openalex.org/W3164811453","doi":"https://doi.org/10.1109/isbi48211.2021.9434064","title":"Non-Rigid Registration Of Live Cell Nuclei Using Global Optical Flow with Elasticity Constraints","display_name":"Non-Rigid Registration Of Live Cell Nuclei Using Global Optical Flow with Elasticity Constraints","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3164811453","doi":"https://doi.org/10.1109/isbi48211.2021.9434064","mag":"3164811453"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9434064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","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/A5102936000","display_name":"Qi Gao","orcid":"https://orcid.org/0000-0002-1883-1676"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Qi Gao","raw_affiliation_strings":["Biomedical Computer Vision Group, BioQuant, IPMB, Heidelberg University and DKFZ, Germany"],"affiliations":[{"raw_affiliation_string":"Biomedical Computer Vision Group, BioQuant, IPMB, Heidelberg University and DKFZ, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078640037","display_name":"Vadim O. Chagin","orcid":"https://orcid.org/0000-0003-3389-7398"},"institutions":[{"id":"https://openalex.org/I4210104940","display_name":"Institute of Cytology","ror":"https://ror.org/01p3q4q56","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210104940","https://openalex.org/I4210129690"]},{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE","RU"],"is_corresponding":false,"raw_author_name":"Vadim O. Chagin","raw_affiliation_strings":["Department of Biology, Cell Biology and Epigenetics, Technical University of Darmstadt, Germany","Russian Academy of Sciences, Institute of Cytology, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Biology, Cell Biology and Epigenetics, Technical University of Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]},{"raw_affiliation_string":"Russian Academy of Sciences, Institute of Cytology, St. Petersburg, Russia","institution_ids":["https://openalex.org/I4210104940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033605271","display_name":"M. Cristina Cardoso","orcid":"https://orcid.org/0000-0001-8427-8859"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Cristina Cardoso","raw_affiliation_strings":["Department of Biology, Cell Biology and Epigenetics, Technical University of Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Biology, Cell Biology and Epigenetics, Technical University of Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105166471","display_name":"Karl Rohr","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karl Rohr","raw_affiliation_strings":["Biomedical Computer Vision Group, BioQuant, IPMB, Heidelberg University and DKFZ, Germany"],"affiliations":[{"raw_affiliation_string":"Biomedical Computer Vision Group, BioQuant, IPMB, Heidelberg University and DKFZ, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102936000"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47003268,"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":"1457","last_page":"1460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9993000030517578,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.994700014591217,"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/elasticity","display_name":"Elasticity (physics)","score":0.8170939683914185},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7495318651199341},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5665410757064819},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.5427437424659729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4935961961746216},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4507841169834137},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.44523483514785767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3859013319015503},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38468143343925476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3479212820529938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3354635238647461},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.325929194688797},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22735324501991272},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19546672701835632},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.1890564262866974},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08634582161903381}],"concepts":[{"id":"https://openalex.org/C121854251","wikidata":"https://www.wikidata.org/wiki/Q62932","display_name":"Elasticity (physics)","level":2,"score":0.8170939683914185},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7495318651199341},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5665410757064819},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.5427437424659729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4935961961746216},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4507841169834137},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.44523483514785767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3859013319015503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38468143343925476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3479212820529938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3354635238647461},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.325929194688797},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22735324501991272},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19546672701835632},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.1890564262866974},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08634582161903381},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi48211.2021.9434064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","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":10,"referenced_works":["https://openalex.org/W1506428013","https://openalex.org/W2039521012","https://openalex.org/W2079754948","https://openalex.org/W2080196723","https://openalex.org/W2116216749","https://openalex.org/W2131898642","https://openalex.org/W2327320060","https://openalex.org/W2572962812","https://openalex.org/W2605971674","https://openalex.org/W2918937107"],"related_works":["https://openalex.org/W4386083130","https://openalex.org/W1660242800","https://openalex.org/W2023355163","https://openalex.org/W2117442182","https://openalex.org/W3111737715","https://openalex.org/W2069571255","https://openalex.org/W2379651310","https://openalex.org/W1541249122","https://openalex.org/W2113019827","https://openalex.org/W2367222340"],"abstract_inverted_index":{"Non-rigid":[0],"registration":[1,25,98],"of":[2,12,26],"cell":[3,27,103],"nuclei":[4],"in":[5,57],"time-lapse":[6],"microscopy":[7,104],"images":[8],"requires":[9],"the":[10,45,48,64,70,86,97,109],"estimation":[11,22],"nucleus":[13,87],"deformation.":[14],"We":[15,39],"propose":[16],"a":[17,34,78],"new":[18],"approach":[19],"for":[20],"deformation":[21,46,72,88],"and":[23],"non-rigid":[24],"nuclei,":[28],"which":[29],"integrates":[30],"elasticity":[31,42,65,113],"constraints":[32,114],"into":[33],"global":[35,59],"optical":[36],"flow-based":[37],"method.":[38],"derive":[40],"an":[41],"prior":[43,56,66],"on":[44,101],"from":[47,84],"Navier":[49],"equation.":[50],"The":[51],"common":[52],"Markov":[53],"random":[54],"field":[55],"previous":[58,116],"methods":[60],"is":[61],"replaced":[62],"by":[63],"to":[67,80],"better":[68],"regularize":[69],"estimated":[71],"fields.":[73],"In":[74],"addition,":[75],"we":[76],"introduce":[77],"scheme":[79],"exclude":[81],"sub-cellular":[82],"structures":[83],"estimating":[85],"so":[89],"that":[90,108],"their":[91],"relative":[92],"motion":[93],"does":[94],"not":[95],"deteriorate":[96],"result.":[99],"Experiments":[100],"live":[102],"image":[105],"data":[106],"demonstrate":[107],"proposed":[110],"method":[111],"with":[112],"outperforms":[115],"methods.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}