{"id":"https://openalex.org/W1985303086","doi":"https://doi.org/10.1109/isbi.2013.6556612","title":"Segmentation of lung region based on using parallel implementation of joint MGRF: Validation on 3D realistic lung phantoms","display_name":"Segmentation of lung region based on using parallel implementation of joint MGRF: Validation on 3D realistic lung phantoms","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W1985303086","doi":"https://doi.org/10.1109/isbi.2013.6556612","mag":"1985303086"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2013.6556612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","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/A5013054530","display_name":"Ahmed Soliman","orcid":"https://orcid.org/0000-0002-1931-3416"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Soliman","raw_affiliation_strings":["Bioengineering Department, University of Louisville, Louisville, KY, USA","Bioeng. Dept., Univ. of Louisville, Louisville, KY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioengineering Department, University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Bioeng. Dept., Univ. of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003428654","display_name":"Fahmi Khalifa","orcid":"https://orcid.org/0000-0003-3318-2851"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fahmi Khalifa","raw_affiliation_strings":["Bioengineering Department, University of Louisville, Louisville, KY, USA","Bioeng. Dept., Univ. of Louisville, Louisville, KY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioengineering Department, University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Bioeng. Dept., Univ. of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042654952","display_name":"Amir Alansary","orcid":"https://orcid.org/0000-0003-3103-4273"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir Alansary","raw_affiliation_strings":["Bioengineering Department, University of Louisville, Louisville, KY, USA","Bioeng. Dept., Univ. of Louisville, Louisville, KY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioengineering Department, University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Bioeng. Dept., Univ. of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114377140","display_name":"Georgy Gimel\u2019farb","orcid":"https://orcid.org/0000-0003-2120-9391"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Georgy Gimel'farb","raw_affiliation_strings":["Department of Computer Science, University of Auckland, Auckland, New Zealand","Dept. of Computer Science, University of Auckland Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"Dept. of Computer Science, University of Auckland Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075057705","display_name":"Ayman El\u2010Baz","orcid":"https://orcid.org/0000-0001-7264-1323"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayman El-Baz","raw_affiliation_strings":["Bioengineering Department, University of Louisville, Louisville, KY, USA","Bioeng. Dept., Univ. of Louisville, Louisville, KY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioengineering Department, University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Bioeng. Dept., Univ. of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4329,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.95558084,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"56","issue":null,"first_page":"864","last_page":"867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9962999820709229,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9940999746322632,"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":0.6943305730819702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6777144074440002},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5874541401863098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5661288499832153},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5465070009231567},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5310611724853516},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4720362424850464},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4484628438949585},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43208351731300354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4046531021595001},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35118091106414795},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12825223803520203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09866812825202942}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6943305730819702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6777144074440002},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5874541401863098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5661288499832153},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5465070009231567},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5310611724853516},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4720362424850464},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4484628438949585},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43208351731300354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4046531021595001},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35118091106414795},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12825223803520203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09866812825202942},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2013.6556612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W71360085","https://openalex.org/W1507367383","https://openalex.org/W1605635602","https://openalex.org/W1972829195","https://openalex.org/W2024798729","https://openalex.org/W2027091505","https://openalex.org/W2035107885","https://openalex.org/W2036390026","https://openalex.org/W2042772093","https://openalex.org/W2109465169","https://openalex.org/W2115384210","https://openalex.org/W2120621413","https://openalex.org/W2140775860","https://openalex.org/W2145704702","https://openalex.org/W2156061276","https://openalex.org/W2166887721","https://openalex.org/W2167803594","https://openalex.org/W2169620647","https://openalex.org/W2172250250","https://openalex.org/W6636021279"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2074765259","https://openalex.org/W4233585817","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2188882668","https://openalex.org/W2004379491","https://openalex.org/W2088323302","https://openalex.org/W1998269854","https://openalex.org/W2083140487"],"abstract_inverted_index":{"The":[0,164],"segmentation":[1,52,128,147],"of":[2,71,82,89,100,125,143,175],"the":[3,79,83,87,90,109,123,135,141,152,159,180,187,195],"lung":[4,24,51,84,127,146],"tissues":[5],"in":[6],"chest":[7],"Computed":[8],"Tomography":[9],"(CT)":[10],"images":[11],"is":[12,59,94,105],"an":[13,101],"important":[14],"step":[15],"for":[16,23,183],"developing":[17],"any":[18,126],"Computer-Aided":[19],"Diagnostic":[20],"(CAD)":[21],"system":[22],"cancer":[25],"and":[26,158],"other":[27],"pulmonary":[28],"diseases.":[29],"In":[30,130],"this":[31,131],"paper,":[32,132],"we":[33,133],"introduce":[34],"a":[35,63,171],"new":[36],"framework":[37,58],"to":[38,44,77,121,139],"generate":[39],"3D":[40,64,80,92,115,136],"realistic":[41,116,137],"synthetic":[42],"phantoms":[43,93,117,138],"validate":[45],"our":[46,144,168,184],"developed":[47,145],"Joint":[48],"Markov-Gibbs":[49],"based":[50,60,96,106,149],"approach":[53,148,169],"from":[54],"CT":[55],"data.":[56],"Our":[57],"on":[61,97,107,150],"using":[62,108,151],"generalized":[65],"Gauss-Markov":[66],"Random":[67],"Field":[68],"(GGMRF)":[69],"model":[70,78],"voxel":[72],"intensities":[73],"with":[74],"pairwise":[75],"interaction":[76],"appearance":[81,88],"tissues.":[85],"Then,":[86],"generated":[91],"simulated":[95],"iterative":[98],"minimization":[99],"energy":[102],"function":[103],"that":[104,167],"learned":[110],"3D-GGMRF":[111],"image":[112],"model.":[113],"These":[114],"can":[118],"be":[119],"used":[120,134],"evaluate":[122,140],"performance":[124,142,189,197],"approach.":[129],"Dice":[153],"Similarity":[154],"Coefficient":[155],"(DSC)":[156],"metric":[157],"Receiver":[160],"Operating":[161],"Characteristics":[162],"(ROC).":[163],"DSC":[165,173],"demonstrated":[166],"achieves":[170],"mean":[172],"value":[174],"0.994":[176],"\u00b1":[177],"0.0034.":[178],"Moreover,":[179],"ROC":[181],"analysis":[182],"method":[185],"showed":[186,194],"best":[188],"(area":[190,198],"0.99),":[191],"while":[192],"intensity":[193],"worst":[196],"0.92).":[199]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
