{"id":"https://openalex.org/W2027722193","doi":"https://doi.org/10.1109/isbi.2014.6867951","title":"Segmentation of cell nuclei in 3D microscopy images based on level set deformable models and convex minimization","display_name":"Segmentation of cell nuclei in 3D microscopy images based on level set deformable models and convex minimization","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2027722193","doi":"https://doi.org/10.1109/isbi.2014.6867951","mag":"2027722193"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6867951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th 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/A5058406458","display_name":"Jan-Philip Bergeest","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151100","display_name":"DKFZ-ZMBH Alliance","ror":"https://ror.org/05x8b4491","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529","https://openalex.org/I223822909","https://openalex.org/I4210151100"]},{"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":"Jan-Philip Bergeest","raw_affiliation_strings":["BIOQUANT, DKFZ Heidelberg, Heidelberg, Germany","University of Heidelberg, BIOQUANT, IPMB, and DKFZ Heidelberg, Department of Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"BIOQUANT, DKFZ Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I4210151100","https://openalex.org/I223822909"]},{"raw_affiliation_string":"University of Heidelberg, BIOQUANT, IPMB, and DKFZ Heidelberg, Department of Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105166471","display_name":"Karl Rohr","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151100","display_name":"DKFZ-ZMBH Alliance","ror":"https://ror.org/05x8b4491","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529","https://openalex.org/I223822909","https://openalex.org/I4210151100"]},{"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":["BIOQUANT, DKFZ Heidelberg, Heidelberg, Germany","University of Heidelberg, BIOQUANT, IPMB, and DKFZ Heidelberg, Department of Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"BIOQUANT, DKFZ Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I4210151100","https://openalex.org/I223822909"]},{"raw_affiliation_string":"University of Heidelberg, BIOQUANT, IPMB, and DKFZ Heidelberg, Department of Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058406458"],"corresponding_institution_ids":["https://openalex.org/I223822909","https://openalex.org/I4210151100"],"apc_list":null,"apc_paid":null,"fwci":1.2194,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82921152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"637","last_page":"640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9975000023841858,"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/T10379","display_name":"Cellular Mechanics and Interactions","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"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/segmentation","display_name":"Segmentation","score":0.7207694053649902},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.6317067742347717},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.6052662134170532},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5806198120117188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5698914527893066},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5642398595809937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5510058999061584},{"id":"https://openalex.org/keywords/energy-minimization","display_name":"Energy minimization","score":0.5398513674736023},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5286762118339539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4890971779823303},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.4827553629875183},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.46059074997901917},{"id":"https://openalex.org/keywords/fluorescence-microscope","display_name":"Fluorescence microscope","score":0.42996081709861755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33885782957077026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2662315368652344},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2426212728023529},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17252853512763977},{"id":"https://openalex.org/keywords/fluorescence","display_name":"Fluorescence","score":0.13921016454696655},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09118595719337463}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7207694053649902},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.6317067742347717},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.6052662134170532},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5806198120117188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5698914527893066},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5642398595809937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5510058999061584},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.5398513674736023},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5286762118339539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4890971779823303},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.4827553629875183},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.46059074997901917},{"id":"https://openalex.org/C169274487","wikidata":"https://www.wikidata.org/wiki/Q840211","display_name":"Fluorescence microscope","level":3,"score":0.42996081709861755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33885782957077026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2662315368652344},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2426212728023529},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17252853512763977},{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.13921016454696655},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09118595719337463},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2014.6867951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W40956716","https://openalex.org/W1524992968","https://openalex.org/W1992058099","https://openalex.org/W2038495454","https://openalex.org/W2063386795","https://openalex.org/W2066130773","https://openalex.org/W2070118110","https://openalex.org/W2090440060","https://openalex.org/W2100138660","https://openalex.org/W2104311408","https://openalex.org/W2125173890","https://openalex.org/W2135095945","https://openalex.org/W2139478903","https://openalex.org/W2149404019","https://openalex.org/W2161537907","https://openalex.org/W2162245111","https://openalex.org/W2532359871","https://openalex.org/W6728225211"],"related_works":["https://openalex.org/W2367921179","https://openalex.org/W3080476861","https://openalex.org/W657288383","https://openalex.org/W2098360446","https://openalex.org/W1980083116","https://openalex.org/W2233054077","https://openalex.org/W1966783661","https://openalex.org/W2122184585","https://openalex.org/W383961223","https://openalex.org/W1979393293"],"abstract_inverted_index":{"Accurate":[0],"and":[1,38,55],"efficient":[2,50],"segmentation":[3,25,103],"of":[4,17,80],"cell":[5,28,60,70],"nuclei":[6,29],"in":[7,87],"3D":[8,24,69,89,102],"fluorescence":[9,90],"microscopy":[10,71,91],"images":[11],"is":[12,31],"important":[13],"for":[14,27,53,59,68],"the":[15],"quantification":[16],"cellular":[18],"processes.":[19],"We":[20,93],"propose":[21],"a":[22,57,97],"new":[23],"approach":[26,42,74,82],"which":[30],"based":[32],"on":[33],"level":[34,65],"set":[35,66],"deformable":[36],"models":[37],"convex":[39,45],"minimization.":[40],"Our":[41],"employs":[43],"different":[44],"energy":[46],"functionals,":[47],"uses":[48],"an":[49],"numeric":[51],"method":[52],"minimization,":[54],"integrates":[56],"scheme":[58],"splitting.":[61],"Compared":[62],"to":[63],"previous":[64,101],"approaches":[67],"images,":[72],"our":[73,81],"determines":[75],"global":[76],"solutions.":[77],"The":[78],"performance":[79],"has":[83],"been":[84],"evaluated":[85],"using":[86],"vivo":[88],"images.":[92],"have":[94],"also":[95],"performed":[96],"quantitative":[98],"comparison":[99],"with":[100],"approaches.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
