{"id":"https://openalex.org/W1969160731","doi":"https://doi.org/10.1109/icip.2014.7025735","title":"Shape statistics for cell division detection in time-lapse videos of early mouse embryo","display_name":"Shape statistics for cell division detection in time-lapse videos of early mouse embryo","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1969160731","doi":"https://doi.org/10.1109/icip.2014.7025735","mag":"1969160731"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5029778986","display_name":"Marcelo Cicconet","orcid":"https://orcid.org/0000-0003-2649-1509"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Cicconet","raw_affiliation_strings":["Center for Genomics and Systems Biology, New York University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Genomics and Systems Biology, New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077305797","display_name":"Kristin C. Gunsalus","orcid":"https://orcid.org/0000-0001-9769-4624"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Gunsalus","raw_affiliation_strings":["Center for Genomics and Systems Biology, New York University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Genomics and Systems Biology, New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050355939","display_name":"Davi Geiger","orcid":"https://orcid.org/0000-0003-2138-3517"},"institutions":[{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Geiger","raw_affiliation_strings":["New York University, New York, NY, US","Courant Institute of Mathematical Sciences, New York University#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, New York University#TAB#","institution_ids":["https://openalex.org/I36672615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073083818","display_name":"Michael Werman","orcid":"https://orcid.org/0000-0002-0665-967X"},"institutions":[{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Werman","raw_affiliation_strings":["Courant Institute of Mathematical Sciences, New York University","Courant Institute of Mathematical Sciences, New York University#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, New York University","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, New York University#TAB#","institution_ids":["https://openalex.org/I36672615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05912491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3622","last_page":"3625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9790999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.6992393732070923},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.6869494915008545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6468149423599243},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.5937238335609436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5443785190582275},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5361931324005127},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5193365812301636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46377032995224},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.4534551799297333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44800078868865967},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4237358272075653},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4168597161769867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3409644365310669},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2688782513141632},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10074204206466675},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08519518375396729}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.6992393732070923},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.6869494915008545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468149423599243},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.5937238335609436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5443785190582275},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5361931324005127},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5193365812301636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46377032995224},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.4534551799297333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44800078868865967},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4237358272075653},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4168597161769867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3409644365310669},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2688782513141632},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10074204206466675},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08519518375396729},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2014.7025735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.725.1137","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.725.1137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.huji.ac.il/%7Ewerman/Papers/2014_ICIP_CellDivision.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1987075332","https://openalex.org/W2013305619","https://openalex.org/W2040334019","https://openalex.org/W2072072671","https://openalex.org/W2080018890","https://openalex.org/W2087414599","https://openalex.org/W2111649276","https://openalex.org/W2124381929","https://openalex.org/W2139241449","https://openalex.org/W2139442740","https://openalex.org/W2341171179","https://openalex.org/W2407560598","https://openalex.org/W6713731617"],"related_works":["https://openalex.org/W2248202737","https://openalex.org/W2350811523","https://openalex.org/W2349951833","https://openalex.org/W2084226224","https://openalex.org/W810838643","https://openalex.org/W1982211130","https://openalex.org/W2026914768","https://openalex.org/W2034186176","https://openalex.org/W2077039559","https://openalex.org/W2008190535"],"abstract_inverted_index":{"We":[0],"describe":[1],"a":[2,53,64,106,133],"statistical":[3],"approach":[4],"to":[5,35,67],"the":[6,10,27,46,49,68,72,90,100,113,126,129,146],"problem":[7],"of":[8,12,18,31,52,61,71,86,92,128,135],"estimating":[9],"times":[11,131],"cell-division":[13],"cycles":[14,119],"in":[15,37,63,89,132,145],"time-lapse":[16],"movies":[17],"early":[19],"mouse":[20],"embryos.":[21],"Our":[22,110],"method":[23],"is":[24],"based":[25],"on":[26],"likelihoods":[28,50,93],"for":[29,76,84,95,112],"cells":[30],"certain":[32],"radii":[33],"ranges":[34],"be":[36],"each":[38],"frame":[39],"\u2014":[40],"without":[41],"actually":[42],"locating":[43],"or":[44],"counting":[45],"cells.":[47],"Computing":[48],"consists":[51],"voting":[54],"scheme":[55],"where":[56],"votes":[57],"come":[58],"form":[59],"quadruples":[60],"points":[62,85,104],"way":[65],"similar":[66],"first":[69,114],"step":[70],"Randomized":[73],"Hough":[74],"Transform":[75],"ellipse":[77],"detection.":[78],"To":[79],"locate":[80],"divisions,":[81],"we":[82],"search":[83],"abrupt":[87],"change":[88],"matrix":[91],"(built":[94],"all":[96],"frames),":[97],"and":[98,115,139],"pick":[99],"two":[101,123,141],"optimal":[102],"division":[103,118],"using":[105],"dynamic":[107],"programming":[108],"algorithm.":[109],"results":[111],"second":[116],"cell":[117],"differ":[120],"less":[121],"than":[122],"frames":[124],"from":[125],"medians":[127],"annotated":[130,137],"database":[134],"100":[136],"videos,":[138],"outperform":[140],"other":[142],"recent":[143],"methods":[144],"same":[147],"set.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
