{"id":"https://openalex.org/W2773244844","doi":"https://doi.org/10.1109/bibm.2017.8217780","title":"3D workflow for segmentation and interactive visualization in brain MR images using multiphase active contours","display_name":"3D workflow for segmentation and interactive visualization in brain MR images using multiphase active contours","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2773244844","doi":"https://doi.org/10.1109/bibm.2017.8217780","mag":"2773244844"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8217780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5059074612","display_name":"Rengarajan Pelapur","orcid":"https://orcid.org/0000-0002-0857-1233"},"institutions":[{"id":"https://openalex.org/I4210142480","display_name":"Thermo Fisher Scientific (United States)","ror":"https://ror.org/03x1ewr52","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142480"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rengarajan Pelapur","raw_affiliation_strings":["Materials and Structural Analysis Division, ThermoFisher Scientific, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Materials and Structural Analysis Division, ThermoFisher Scientific, Houston, TX, USA","institution_ids":["https://openalex.org/I4210142480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017246903","display_name":"V. B. Surya Prasath","orcid":"https://orcid.org/0000-0001-7163-7453"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. B. Surya Prasath","raw_affiliation_strings":["Department of Computer Science, Computational Imaging and Visualization Analysis Lab, University of Missouri, Columbia, MO, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Computational Imaging and Visualization Analysis Lab, University of Missouri, Columbia, MO, US","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108472196","display_name":"Juan Carlos Moreno","orcid":null},"institutions":[{"id":"https://openalex.org/I161321875","display_name":"University of Beira Interior","ror":"https://ror.org/03nf36p02","country_code":"PT","type":"education","lineage":["https://openalex.org/I161321875"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Juan C. Moreno","raw_affiliation_strings":["Department of Computer Science, University of Beira Interior, Covilh\u00e3, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Beira Interior, Covilh\u00e3, Portugal","institution_ids":["https://openalex.org/I161321875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058490684","display_name":"Michael Heck","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142480","display_name":"Thermo Fisher Scientific (United States)","ror":"https://ror.org/03x1ewr52","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142480"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael M. Heck","raw_affiliation_strings":["Materials and Structural Analysis Division, ThermoFisher Scientific, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Materials and Structural Analysis Division, ThermoFisher Scientific, Houston, TX, USA","institution_ids":["https://openalex.org/I4210142480"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16120808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"921","last_page":"926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9972000122070312,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9897000193595886,"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/computer-science","display_name":"Computer science","score":0.801429271697998},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7404986619949341},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.679618239402771},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6568620800971985},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6277065277099609},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6059545874595642},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5911586284637451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5834430456161499},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.507241427898407},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5015709400177002},{"id":"https://openalex.org/keywords/interactive-visualization","display_name":"Interactive visualization","score":0.4704638421535492},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46523919701576233},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.44407689571380615},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3491494655609131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801429271697998},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7404986619949341},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.679618239402771},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6568620800971985},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6277065277099609},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6059545874595642},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5911586284637451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5834430456161499},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.507241427898407},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5015709400177002},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.4704638421535492},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46523919701576233},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.44407689571380615},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3491494655609131},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2017.8217780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1482314187","https://openalex.org/W1488765683","https://openalex.org/W1509372252","https://openalex.org/W1547574956","https://openalex.org/W1999478155","https://openalex.org/W2026616100","https://openalex.org/W2038495454","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2119604852","https://openalex.org/W2121947440","https://openalex.org/W2163096274","https://openalex.org/W2165734775","https://openalex.org/W2740356721","https://openalex.org/W6629238042","https://openalex.org/W6630295924","https://openalex.org/W6677945368"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W10861731","https://openalex.org/W2050451745"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"are":[4],"proposing":[5],"a":[6,17,58,80,96,100,107,124,144],"3D":[7,60,131,138],"segmentation":[8,14,132],"and":[9,40,51,106],"interactive":[10,137],"visualization":[11,61,113,139],"workflow.":[12,152],"The":[13,55],"implementation":[15],"uses":[16],"globally":[18,37],"convex":[19,38],"multiphase":[20],"active":[21],"contours":[22],"without":[23,114],"edges.":[24],"This":[25],"algorithm":[26],"has":[27],"been":[28],"proven":[29],"to":[30,35,46,48,123,127,133],"be":[31],"initialization":[32],"independent":[33],"due":[34,45],"their":[36],"formulation":[39],"better":[41],"than":[42],"other":[43],"approaches":[44],"robustness":[47],"image":[49],"variations":[50],"adaptive":[52],"energy":[53],"functionals.":[54],"workflow":[56],"includes":[57],"flexible":[59],"application":[62],"that":[63,84],"can":[64],"handle":[65],"very":[66],"large":[67],"volumes":[68],"using":[69],"multi-resolution":[70],"hierarchical":[71],"data":[72,91],"formats":[73],"following":[74],"the":[75,90,116,121],"segmentation.":[76],"We":[77],"also":[78],"designed":[79],"custom":[81,134],"fragment":[82],"shader":[83],"is":[85],"capable":[86],"of":[87],"meaningfully":[88],"fusing":[89],"from":[92,130],"three":[93],"different":[94],"volumes:":[95],"segmented":[97,117],"label":[98],"volume,":[99],"mean":[101],"value":[102],"per":[103],"voxel":[104],"volume":[105,110],"skull":[108],"striped":[109],"for":[111],"effective":[112],"modifying":[115],"results.":[118],"Giving":[119],"researchers":[120],"access":[122],"whole":[125],"end":[126,128],"pipeline,":[129],"real":[135],"time":[136],"is,":[140],"in":[141],"our":[142],"opinion,":[143],"powerful":[145],"tool":[146],"focused":[147],"on":[148],"an":[149],"analyst/expert":[150],"centric":[151]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}