{"id":"https://openalex.org/W2164154612","doi":"https://doi.org/10.1109/isbi.2008.4541187","title":"On the registrability of two CT volumes","display_name":"On the registrability of two CT volumes","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2164154612","doi":"https://doi.org/10.1109/isbi.2008.4541187","mag":"2164154612"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2008.4541187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4541187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5086232915","display_name":"D. Fiorin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Diego Fiorin","raw_affiliation_strings":["Imaging and Visualization Department, Siemens AG Corporate Research and Development, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Imaging and Visualization Department, Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109251531","display_name":"Marie\u2010Pierre Jolly","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marie-Pierre Jolly","raw_affiliation_strings":["Imaging and Visualization Department, Siemens AG Corporate Research and Development, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Imaging and Visualization Department, Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070085502","display_name":"Charles Florin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Florin","raw_affiliation_strings":["Imaging and Visualization Department, Siemens AG Corporate Research and Development, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Imaging and Visualization Department, Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086232915"],"corresponding_institution_ids":["https://openalex.org/I4210137693"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16759874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1079","last_page":"1082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9939000010490417,"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":0.9939000010490417,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.989799976348877,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9884999990463257,"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":0.7029107809066772},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6706314086914062},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6473994851112366},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5323553085327148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5280783176422119},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4374855160713196},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3680345416069031},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.328737735748291},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32203251123428345},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.22198665142059326},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20760321617126465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17515897750854492},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06401932239532471}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029107809066772},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6706314086914062},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6473994851112366},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5323553085327148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5280783176422119},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4374855160713196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3680345416069031},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.328737735748291},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32203251123428345},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.22198665142059326},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20760321617126465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17515897750854492},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06401932239532471},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2008.4541187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4541187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1680392829","https://openalex.org/W1928736390","https://openalex.org/W2105456967","https://openalex.org/W2133059825","https://openalex.org/W2133584444","https://openalex.org/W2296301307","https://openalex.org/W6637386731"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W4391013256","https://openalex.org/W2768526084"],"abstract_inverted_index":{"This":[0,16,36],"paper":[1],"describes":[2],"a":[3],"method":[4],"to":[5,24],"determine":[6],"whether":[7],"two":[8],"CT":[9],"volumes":[10],"overlap":[11],"in":[12,55,84],"anatomy":[13],"or":[14,65],"not.":[15],"is":[17,38,61,82,97],"an":[18],"important":[19],"problem":[20],"because":[21],"radiologists":[22],"have":[23],"manually":[25],"select":[26],"which":[27],"series":[28,50],"should":[29],"be":[30],"registered":[31],"together":[32],"for":[33,51],"follow-up":[34],"exams.":[35],"task":[37],"becoming":[39],"more":[40,42],"and":[41,49,59,67,75],"tedious":[43],"as":[44],"the":[45,86,101],"number":[46],"of":[47],"studies":[48],"each":[52],"patient":[53],"increases":[54],"large":[56],"hospital":[57],"settings,":[58],"meta-data":[60],"often":[62],"erroneous,":[63],"incomplete,":[64],"inconsistent,":[66],"therefore":[68],"unreliable.":[69],"We":[70,92],"demonstrate":[71],"on":[72],"40":[73],"patients":[74],"100":[76],"possible":[77,99],"matches":[78],"that":[79,95],"our":[80],"tool":[81],"successful":[83],"identifying":[85],"overlapping":[87],"(or":[88],"registrable)":[89],"cases":[90],"automatically.":[91],"also":[93],"show":[94],"this":[96],"not":[98],"using":[100],"residual":[102],"error":[103],"after":[104],"registration.":[105]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}