{"id":"https://openalex.org/W2005888349","doi":"https://doi.org/10.1109/tmi.2011.2168609","title":"Prior Shape Level Set Segmentation on Multistep Generated Probability Maps of MR Datasets for Fully Automatic Kidney Parenchyma Volumetry","display_name":"Prior Shape Level Set Segmentation on Multistep Generated Probability Maps of MR Datasets for Fully Automatic Kidney Parenchyma Volumetry","publication_year":2011,"publication_date":"2011-09-23","ids":{"openalex":"https://openalex.org/W2005888349","doi":"https://doi.org/10.1109/tmi.2011.2168609","mag":"2005888349","pmid":"https://pubmed.ncbi.nlm.nih.gov/21937343"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2011.2168609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2011.2168609","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018912146","display_name":"Oliver Gloger","orcid":"https://orcid.org/0000-0002-0791-4273"},"institutions":[{"id":"https://openalex.org/I2799318839","display_name":"Universit\u00e4tsmedizin Greifswald","ror":"https://ror.org/025vngs54","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2799318839"]},{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Oliver Gloger","raw_affiliation_strings":["Institute for Community Medicine, Ernst Moritz Arndt University of Greifswald, 17475 Greifswald, Germany. gloger@unigreifswald.de","Institute for Community Medicine, Ernst-Moritz-Arndt University of Greifswald, Greifswald, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Community Medicine, Ernst Moritz Arndt University of Greifswald, 17475 Greifswald, Germany. gloger@unigreifswald.de","institution_ids":["https://openalex.org/I2799318839","https://openalex.org/I36522303"]},{"raw_affiliation_string":"Institute for Community Medicine, Ernst-Moritz-Arndt University of Greifswald, Greifswald, Germany","institution_ids":["https://openalex.org/I36522303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098039092","display_name":"Klaus Dietz Tonnies","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Dietz Tonnies","raw_affiliation_strings":["Institute for Simulation and Graphics, Otto-von-Guericke, University of Magdeburg, Magdeburg, Germany","Institute for Simulation and Graphics, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Simulation and Graphics, Otto-von-Guericke, University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]},{"raw_affiliation_string":"Institute for Simulation and Graphics, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051288841","display_name":"Volkmar Liebscher","orcid":"https://orcid.org/0000-0003-1446-4423"},"institutions":[{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volkmar Liebscher","raw_affiliation_strings":["Institute forMathematics, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany","Inst. for Math., Ernst Moritz Arndt Univ. of Greifswald, Greifswald, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute forMathematics, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany","institution_ids":["https://openalex.org/I36522303"]},{"raw_affiliation_string":"Inst. for Math., Ernst Moritz Arndt Univ. of Greifswald, Greifswald, Germany","institution_ids":["https://openalex.org/I36522303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037839256","display_name":"Bernd Kugelmann","orcid":null},"institutions":[{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernd Kugelmann","raw_affiliation_strings":["Institute forMathematics, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany","Inst. for Math., Ernst Moritz Arndt Univ. of Greifswald, Greifswald, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute forMathematics, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany","institution_ids":["https://openalex.org/I36522303"]},{"raw_affiliation_string":"Inst. for Math., Ernst Moritz Arndt Univ. of Greifswald, Greifswald, Germany","institution_ids":["https://openalex.org/I36522303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060630559","display_name":"Ren\u00e9 Laqua","orcid":null},"institutions":[{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rene Laqua","raw_affiliation_strings":["Institute for Radiology and Neuroradiology,, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany","Inst. for Radiol. & Neuroradiology, Ernst Moritz Arndt Univ. of Greifswald, Greifswald, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Radiology and Neuroradiology,, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany","institution_ids":["https://openalex.org/I36522303"]},{"raw_affiliation_string":"Inst. for Radiol. & Neuroradiology, Ernst Moritz Arndt Univ. of Greifswald, Greifswald, Germany","institution_ids":["https://openalex.org/I36522303"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011709769","display_name":"Henry V\u00f6lzke","orcid":"https://orcid.org/0000-0001-7003-399X"},"institutions":[{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Henry Volzke","raw_affiliation_strings":["Institute for Community Medicine, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany","Institute for Community Medicine, Ernst-Moritz-Arndt University of Greifswald, Greifswald, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Community Medicine, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany","institution_ids":["https://openalex.org/I36522303"]},{"raw_affiliation_string":"Institute for Community Medicine, Ernst-Moritz-Arndt University of Greifswald, Greifswald, Germany","institution_ids":["https://openalex.org/I36522303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018912146"],"corresponding_institution_ids":["https://openalex.org/I2799318839","https://openalex.org/I36522303"],"apc_list":null,"apc_paid":null,"fwci":4.9712,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96060881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":"2","first_page":"312","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9969000220298767,"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":0.9969000220298767,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9940000176429749,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8764340877532959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.719994843006134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6553642153739929},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5673168301582336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5520029664039612},{"id":"https://openalex.org/keywords/parenchyma","display_name":"Parenchyma","score":0.5295328497886658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5054872035980225},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.49300023913383484},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.445926308631897},{"id":"https://openalex.org/keywords/partial-volume","display_name":"Partial volume","score":0.41720259189605713},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17327725887298584},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12873148918151855}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8764340877532959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.719994843006134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553642153739929},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5673168301582336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5520029664039612},{"id":"https://openalex.org/C196822366","wikidata":"https://www.wikidata.org/wiki/Q270524","display_name":"Parenchyma","level":2,"score":0.5295328497886658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5054872035980225},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.49300023913383484},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.445926308631897},{"id":"https://openalex.org/C82233179","wikidata":"https://www.wikidata.org/wiki/Q2054500","display_name":"Partial volume","level":2,"score":0.41720259189605713},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17327725887298584},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12873148918151855}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008953","descriptor_name":"Models, Anatomic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008953","descriptor_name":"Models, Anatomic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008953","descriptor_name":"Models, Anatomic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2011.2168609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2011.2168609","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:21937343","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21937343","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}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8500000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1480873147","https://openalex.org/W1519604908","https://openalex.org/W1530689501","https://openalex.org/W1543363024","https://openalex.org/W1568402089","https://openalex.org/W1584247442","https://openalex.org/W1824888789","https://openalex.org/W1991928838","https://openalex.org/W1992192543","https://openalex.org/W2038972844","https://openalex.org/W2045545335","https://openalex.org/W2049516470","https://openalex.org/W2063250103","https://openalex.org/W2096661726","https://openalex.org/W2109011174","https://openalex.org/W2110430630","https://openalex.org/W2112713547","https://openalex.org/W2116040950","https://openalex.org/W2122827492","https://openalex.org/W2131014997","https://openalex.org/W2133671942","https://openalex.org/W2134820502","https://openalex.org/W2135420923","https://openalex.org/W2146678961","https://openalex.org/W2147427282","https://openalex.org/W2147484997","https://openalex.org/W2149184914","https://openalex.org/W2150134853","https://openalex.org/W2157308394","https://openalex.org/W2158825509","https://openalex.org/W2163387321","https://openalex.org/W2164751492","https://openalex.org/W2167338900","https://openalex.org/W2169551590","https://openalex.org/W2171417304","https://openalex.org/W2172251995","https://openalex.org/W6685073400"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2373659438","https://openalex.org/W2392905701","https://openalex.org/W1879755808","https://openalex.org/W2171653019"],"abstract_inverted_index":{"Fully":[0],"automatic":[1,61],"3-D":[2,26,56],"segmentation":[3,28,37,57,90,101,133,186],"techniques":[4,134],"for":[5,59,69,135,168,173],"clinical":[6],"applications":[7],"or":[8],"epidemiological":[9],"studies":[10],"have":[11],"proven":[12],"to":[13,40,119,149,178],"be":[14],"a":[15,35,55,80,130],"very":[16],"challenging":[17],"task":[18],"in":[19,79,129,184],"the":[20,96,144,156,185,192,200],"domain":[21],"of":[22,50,132],"medical":[23],"image":[24],"analysis.":[25],"organ":[27],"on":[29,95,139],"magnetic":[30],"resonance":[31],"(MR)":[32],"datasets":[33],"requires":[34],"well-designed":[36],"strategy":[38],"due":[39,177],"imaging":[41],"artifacts,":[42],"partial":[43],"volume":[44],"effects,":[45],"and":[46,151],"similar":[47],"tissue":[48,171,176],"properties":[49],"adjacent":[51],"tissues.":[52],"We":[53,159],"developed":[54],"framework":[58],"fully":[60],"kidney":[62,126],"parenchyma":[63,127,137],"volumetry":[64],"that":[65,191],"uses":[66],"Bayesian":[67],"concepts":[68],"probability":[70,74,98,115],"map":[71,75],"generation.":[72],"The":[73,100,188],"quality":[76,102,163,201],"is":[77,92,103,147],"improved":[78,104],"multistep":[81],"refinement":[82],"approach.":[83],"An":[84],"extended":[85],"prior":[86],"shape":[87],"level":[88],"set":[89],"method":[91,146],"then":[93],"applied":[94],"refined":[97],"maps.":[99,116],"by":[105],"incorporating":[106],"an":[107,179],"exterior":[108],"cortex":[109,114,194],"edge":[110,195],"alignment":[111,196],"technique":[112],"using":[113],"In":[117],"contrast":[118],"previous":[120],"approaches,":[121],"we":[122],"combine":[123],"several":[124],"relevant":[125],"features":[128],"sequence":[131],"successful":[136],"delineation":[138],"native":[140],"MR":[141],"datasets.":[142],"Furthermore,":[143],"proposed":[145],"able":[148],"recognize":[150],"exclude":[152],"parenchymal":[153,157,170,175],"cysts":[154],"from":[155],"volume.":[158],"analyzed":[160],"four":[161],"different":[162],"measures":[164],"showing":[165],"better":[166],"results":[167,189],"right":[169],"than":[172],"left":[174],"incorporated":[180],"liver":[181],"part":[182],"removal":[183],"framework.":[187],"show":[190],"outer":[193],"approach":[197],"successfully":[198],"improves":[199],"measures.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
