{"id":"https://openalex.org/W2728532776","doi":"https://doi.org/10.2352/issn.2470-1173.2017.17.coimg-420","title":"Joint Segmentation and Material Recognition in Dual-Energy CT Images","display_name":"Joint Segmentation and Material Recognition in Dual-Energy CT Images","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2728532776","doi":"https://doi.org/10.2352/issn.2470-1173.2017.17.coimg-420","mag":"2728532776"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.17.coimg-420","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.17.coimg-420","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5055429276","display_name":"Parisa Babaheidarian","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Parisa Babaheidarian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103073490","display_name":"David A. Casta\u00f1\u00f3n","orcid":"https://orcid.org/0000-0002-9635-9776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Casta\u00f1\u00f3n","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055429276"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2549,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54043491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"29","issue":"17","first_page":"30","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9805999994277954,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7790172696113586},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7404066324234009},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7233951687812805},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.688663899898529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6802259683609009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6115128993988037},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5853323936462402},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5483503937721252},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5226262211799622},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.520703136920929},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4791259467601776},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.42246416211128235},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.41268178820610046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22144344449043274}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7790172696113586},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7404066324234009},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7233951687812805},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.688663899898529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6802259683609009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6115128993988037},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5853323936462402},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5483503937721252},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5226262211799622},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.520703136920929},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4791259467601776},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.42246416211128235},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.41268178820610046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22144344449043274},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.17.coimg-420","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.17.coimg-420","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2387690017","https://openalex.org/W4233585817","https://openalex.org/W29916882","https://openalex.org/W2029983961","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2021544484","https://openalex.org/W2188882668","https://openalex.org/W2171149362","https://openalex.org/W2086619084"],"abstract_inverted_index":{"The":[0],"problem":[1,60,65,83],"of":[2,30,43,74,92,127],"identifying":[3],"materials":[4],"in":[5,10,13,49,116],"dual-energy":[6],"CT":[7],"images":[8],"arises":[9],"many":[11],"applications":[12],"medicine":[14],"and":[15,28,80,100],"security.":[16],"In":[17,33],"this":[18],"paper,":[19],"we":[20,36],"introduce":[21],"a":[22,62,67,104],"new":[23],"algorithm":[24,111],"for":[25,41,72],"joint":[26,58],"segmentation":[27],"classification":[29],"material":[31],"regions.":[32],"our":[34,110],"algorithm,":[35],"learn":[37],"an":[38],"appearance":[39,119],"model":[40,71,120],"patches":[42],"pixels":[44],"that":[45,109],"captures":[46],"the":[47,57,82,90,93,113,118],"correlation":[48,73],"observed":[50],"values":[51,125],"among":[52,77],"neighboring":[53,78],"pixels/voxels.":[54],"We":[55,88,107],"pose":[56],"segmentation/classification":[59],"as":[61],"discrete":[63],"optimization":[64],"using":[66,84,96],"Markov":[68],"random":[69],"field":[70],"class":[75],"labels":[76],"patches,":[79],"solve":[81],"graph":[85],"cut":[86],"techniques.":[87],"evaluate":[89],"performance":[91],"proposed":[94],"method":[95],"both":[97],"simulated":[98],"phantoms":[99],"data":[101],"collected":[102],"from":[103],"medical":[105],"scanner.":[106],"show":[108],"outperforms":[112],"alternative":[114],"approaches":[115],"which":[117],"is":[121],"based":[122],"on":[123],"pixel":[124],"instead":[126],"patches.":[128]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
