{"id":"https://openalex.org/W2623960274","doi":"https://doi.org/10.1109/tmi.2017.2712360","title":"Neuron Segmentation With High-Level Biological Priors","display_name":"Neuron Segmentation With High-Level Biological Priors","publication_year":2017,"publication_date":"2017-06-06","ids":{"openalex":"https://openalex.org/W2623960274","doi":"https://doi.org/10.1109/tmi.2017.2712360","mag":"2623960274","pmid":"https://pubmed.ncbi.nlm.nih.gov/28600240"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2017.2712360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2712360","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/259467","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066833178","display_name":"Nikola Enrico Krasowski","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":"N. E. Krasowski","raw_affiliation_strings":["HCI/IWR, University of Heidelberg, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HCI/IWR, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054977360","display_name":"Thorsten Beier","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":"T. Beier","raw_affiliation_strings":["HCI/IWR, University of Heidelberg, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HCI/IWR, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059529790","display_name":"Graham Knott","orcid":"https://orcid.org/0000-0002-2956-9052"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"G. W. Knott","raw_affiliation_strings":["Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110454166","display_name":"Ullrich K\u00f6the","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":"U. Kothe","raw_affiliation_strings":["HCI/IWR, University of Heidelberg, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HCI/IWR, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020048224","display_name":"Fred A. Hamprecht","orcid":"https://orcid.org/0000-0003-4148-5043"},"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":"F. A. Hamprecht","raw_affiliation_strings":["HCI/IWR, University of Heidelberg, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HCI/IWR, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038898203","display_name":"Anna Kreshuk","orcid":"https://orcid.org/0000-0003-1334-6388"},"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":"A. Kreshuk","raw_affiliation_strings":["HCI/IWR, University of Heidelberg, Heidelberg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1334-6388","affiliations":[{"raw_affiliation_string":"HCI/IWR, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8883,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.94787173,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"37","issue":"4","first_page":"829","last_page":"839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9937999844551086,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9810000061988831,"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/segmentation","display_name":"Segmentation","score":0.6937502026557922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6788244843482971},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6459020376205444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380484700202942},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5959854125976562},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5373131036758423},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5256722569465637},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5043689012527466},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.43616652488708496},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3359067440032959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25458860397338867},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15236645936965942},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1462377905845642},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.08468538522720337}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6937502026557922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6788244843482971},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6459020376205444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380484700202942},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5959854125976562},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5373131036758423},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5256722569465637},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5043689012527466},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.43616652488708496},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3359067440032959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25458860397338867},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15236645936965942},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1462377905845642},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.08468538522720337},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2017.2712360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2712360","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:28600240","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28600240","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:infoscience.epfl.ch:259467","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/259467","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"research article"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:259467","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/259467","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"research article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W39908396","https://openalex.org/W94656800","https://openalex.org/W116973556","https://openalex.org/W123738635","https://openalex.org/W138878435","https://openalex.org/W428709370","https://openalex.org/W800520748","https://openalex.org/W1207903865","https://openalex.org/W1483512324","https://openalex.org/W1513082520","https://openalex.org/W1585614163","https://openalex.org/W1635743584","https://openalex.org/W1860446288","https://openalex.org/W1965637518","https://openalex.org/W1976032673","https://openalex.org/W1976467070","https://openalex.org/W1977409776","https://openalex.org/W1986245501","https://openalex.org/W1989621138","https://openalex.org/W2040156859","https://openalex.org/W2058547540","https://openalex.org/W2071026261","https://openalex.org/W2072350275","https://openalex.org/W2080858319","https://openalex.org/W2096139825","https://openalex.org/W2097073572","https://openalex.org/W2104066896","https://openalex.org/W2106146968","https://openalex.org/W2115451053","https://openalex.org/W2121289914","https://openalex.org/W2129981175","https://openalex.org/W2142902825","https://openalex.org/W2156574284","https://openalex.org/W2160041854","https://openalex.org/W2167510172","https://openalex.org/W2232480453","https://openalex.org/W2548428030","https://openalex.org/W2584383026","https://openalex.org/W2963048250","https://openalex.org/W3104138413","https://openalex.org/W4297922390","https://openalex.org/W6605645989","https://openalex.org/W6627890809","https://openalex.org/W6675438902","https://openalex.org/W6682354963","https://openalex.org/W6683108301","https://openalex.org/W6684372118"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W2085259108","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W3123087812","https://openalex.org/W1522196789"],"abstract_inverted_index":{"We":[0,52,79,106],"present":[1],"a":[2,121],"novel":[3],"approach":[4],"to":[5,117,134],"the":[6,84,89,98,101,127],"problem":[7],"of":[8,62,129],"neuron":[9,73],"segmentation":[10],"in":[11,75,88],"image":[12],"volumes":[13],"acquired":[14],"by":[15,60],"an":[16,37],"electron":[17],"microscopy.":[18],"Existing":[19],"methods,":[20],"such":[21,36],"as":[22],"agglomerative":[23],"or":[24,44],"correlation":[25],"clustering,":[26],"rely":[27],"solely":[28],"on":[29],"boundary":[30,86],"evidence":[31,38,87],"and":[32,49,71,100,125],"have":[33],"problems":[34,110],"where":[35],"is":[39],"lacking":[40],"(e.g.,":[41,46],"incomplete":[42],"staining)":[43],"ambiguous":[45],"co-located":[47],"cell":[48],"mitochondria":[50],"membranes).":[51],"investigate":[53],"if":[54],"these":[55,81],"difficulties":[56],"can":[57,114],"be":[58,115],"overcome":[59],"means":[61],"sparse":[63],"region":[64,103],"appearance":[65],"cues":[66,82],"that":[67,108,126],"differentiate":[68],"between":[69],"pre-":[70],"postsynaptic":[72],"segments":[74],"mammalian":[76],"neural":[77],"tissue.":[78],"combine":[80],"with":[83,120],"traditional":[85],"asymmetric":[90],"multiway":[91],"cut":[92],"(AMWC)":[93],"model,":[94],"which":[95],"simultaneously":[96],"solves":[97],"partitioning":[99],"semantic":[102,130],"labeling":[104],"problems.":[105],"show":[107],"AMWC":[109],"over":[111],"superpixel":[112],"graphs":[113],"solved":[116],"global":[118],"optimality":[119],"cutting":[122],"plane":[123],"approach,":[124],"introduction":[128],"class":[131],"priors":[132],"leads":[133],"significantly":[135],"better":[136],"segmentations.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
