{"id":"https://openalex.org/W2806224804","doi":"https://doi.org/10.1109/isbi.2018.8363659","title":"Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming","display_name":"Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2806224804","doi":"https://doi.org/10.1109/isbi.2018.8363659","mag":"2806224804"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069739824","display_name":"Leonid Kostrykin","orcid":"https://orcid.org/0000-0003-1323-3762"},"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":"Leonid Kostrykin","raw_affiliation_strings":["Biomedical Computer Vision Group, University of Heidelberg, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Computer Vision Group, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088815590","display_name":"Christoph Schn\u00f6rr","orcid":"https://orcid.org/0000-0002-8999-2338"},"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":"Christoph Schnorr","raw_affiliation_strings":["Image and Pattern Analysis Group, Heidelberg University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Pattern Analysis Group, Heidelberg University, 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/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, University of Heidelberg, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Computer Vision Group, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"654","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9995999932289124,"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":0.9954000115394592,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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/image-segmentation","display_name":"Image segmentation","score":0.6704641580581665},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5967705249786377},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.592761218547821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5676658153533936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5506359338760376},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.545600414276123},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5264773368835449},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5189128518104553},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5112552642822266},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.4373144507408142},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43147075176239014},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4226493835449219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39346468448638916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32094329595565796},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1380349099636078},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08502376079559326},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08018895983695984}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6704641580581665},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5967705249786377},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.592761218547821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5676658153533936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5506359338760376},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.545600414276123},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5264773368835449},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5189128518104553},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5112552642822266},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.4373144507408142},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43147075176239014},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4226493835449219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39346468448638916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32094329595565796},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1380349099636078},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08502376079559326},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08018895983695984},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2018.8363659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W155514589","https://openalex.org/W1555173571","https://openalex.org/W1607107570","https://openalex.org/W1968615915","https://openalex.org/W1974509526","https://openalex.org/W1992058099","https://openalex.org/W2010308130","https://openalex.org/W2071573804","https://openalex.org/W2104311408","https://openalex.org/W2109200236","https://openalex.org/W2141273399","https://openalex.org/W2142332605","https://openalex.org/W2294282334","https://openalex.org/W2395642140","https://openalex.org/W2424374314","https://openalex.org/W2613281654","https://openalex.org/W2634907082","https://openalex.org/W2716439109","https://openalex.org/W4250589301","https://openalex.org/W6737875637"],"related_works":["https://openalex.org/W2031481447","https://openalex.org/W2092201493","https://openalex.org/W47402141","https://openalex.org/W2356089377","https://openalex.org/W2382505436","https://openalex.org/W2035154462","https://openalex.org/W2358149461","https://openalex.org/W2059090003","https://openalex.org/W2323227079","https://openalex.org/W3153752017"],"abstract_inverted_index":{"We":[0,86],"introduce":[1],"a":[2,47,54,101],"convex":[3,57],"model-based":[4],"approach":[5,44,89],"for":[6],"the":[7,25,61,67,82],"segmentation":[8],"of":[9,40,56,94],"cell":[10,97],"nuclei,":[11],"which":[12,77],"exploits":[13],"both":[14],"shape":[15],"and":[16,59,99],"intensity":[17],"information.":[18],"The":[19],"model":[20],"is":[21,72],"directly":[22],"fitted":[23],"to":[24,52],"image":[26,68,75,84],"intensities.":[27,69],"Previous":[28],"shape-based":[29],"approaches":[30],"either":[31],"are":[32,78],"not":[33],"globally":[34,62],"optimal":[35,63],"or":[36],"require":[37],"prior":[38],"binarization":[39],"an":[41],"image.":[42],"Our":[43],"relies":[45],"on":[46,66],"fast":[48],"second-order":[49],"optimization":[50],"scheme":[51],"solve":[53],"sequence":[55],"programs":[58],"estimate":[60],"solution":[64],"based":[65],"Model":[70],"fitting":[71],"performed":[73,100],"within":[74],"regions":[76],"determined":[79],"by":[80],"exploiting":[81],"local":[83],"structure.":[85],"evaluated":[87],"our":[88],"using":[90],"fluorescence":[91],"microscopy":[92],"images":[93],"two":[95],"different":[96],"types":[98],"quantitative":[102],"comparison":[103],"with":[104],"previous":[105],"methods.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
