{"id":"https://openalex.org/W4386352676","doi":"https://doi.org/10.1109/isbi53787.2023.10230770","title":"Generation of Synthetic 3D Data Using Simulated MR Examinations in Augmented Reality","display_name":"Generation of Synthetic 3D Data Using Simulated MR Examinations in Augmented Reality","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386352676","doi":"https://doi.org/10.1109/isbi53787.2023.10230770"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230770","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","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/A5092819671","display_name":"Aniol Serra Juh\u00e9","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aniol Serra Juh\u00e9","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Erlangen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046406696","display_name":"Daniel Rinck","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthineers (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Rinck","raw_affiliation_strings":["Magnetic Resonance,Siemens Healthineers,Erlangen,Germany","Siemens Healthineers, Magnetic Resonance, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Magnetic Resonance,Siemens Healthineers,Erlangen,Germany","institution_ids":["https://openalex.org/I4210153902"]},{"raw_affiliation_string":"Siemens Healthineers, Magnetic Resonance, Erlangen, Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101619735","display_name":"Andreas Maier","orcid":"https://orcid.org/0000-0002-9550-5284"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreas Maier","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Erlangen,Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs/2105.13962","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9983000159263611,"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/T10888","display_name":"Augmented Reality Applications","score":0.9983000159263611,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8228238821029663},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7869426012039185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7693846225738525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7490811347961426},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.7004519701004028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6467862129211426},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.6270639896392822},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5022814273834229},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4998443126678467},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.470954030752182},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.42510920763015747},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.07559928297996521}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8228238821029663},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7869426012039185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693846225738525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7490811347961426},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.7004519701004028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6467862129211426},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.6270639896392822},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5022814273834229},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4998443126678467},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.470954030752182},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.42510920763015747},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.07559928297996521},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230770","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2128019145","https://openalex.org/W2899302036","https://openalex.org/W2933084710","https://openalex.org/W2962793481","https://openalex.org/W2963201472","https://openalex.org/W3128929179","https://openalex.org/W3180597453","https://openalex.org/W3181599570","https://openalex.org/W3185652689","https://openalex.org/W3200359690","https://openalex.org/W4287165115","https://openalex.org/W6795356393","https://openalex.org/W6798369812","https://openalex.org/W6799013692"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W3158001554","https://openalex.org/W2771909920","https://openalex.org/W2957704286","https://openalex.org/W2028936041","https://openalex.org/W2179141964","https://openalex.org/W2562256921"],"abstract_inverted_index":{"In":[0,51],"the":[1,36,49,72,115,119,140],"future,":[2],"medical":[3],"imaging":[4],"devices":[5,28],"such":[6,27],"as":[7],"computed":[8],"tomography":[9],"(CT)":[10],"and":[11,24,47,118,123],"magnetic":[12],"resonance":[13],"(MR)":[14],"are":[15,38,126,132],"expected":[16],"to":[17,40,45,58],"become":[18],"increasingly":[19],"autonomous.":[20],"Therefore,":[21],"design":[22],"criteria":[23],"workflow":[25,77],"of":[26,35,78,101,114],"will":[29],"change":[30],"substantially.":[31],"Moreover,":[32],"sensor":[33],"data":[34,64],"system":[37,100],"required":[39],"develop":[41],"scene":[42,117],"understanding":[43],"algorithms":[44],"support":[46],"guide":[48],"user.":[50],"this":[52],"work,":[53],"we":[54],"present":[55],"an":[56,79,91],"approach":[57],"generate":[59],"synthetic":[60],"3D":[61],"point":[62,130,137],"cloud":[63],"from":[65,139],"a":[66,83,99],"simulated":[67],"MR":[68,80,86],"examination":[69,81],"experienced":[70],"on":[71],"Microsoft":[73],"Hololens2.":[74],"The":[75,94,128],"complete":[76],"using":[82],"virtual,":[84],"autonomous":[85],"scanner":[87],"is":[88,96,121],"reproduced":[89],"in":[90],"AR":[92,109,116,141],"scene.":[93,142],"user":[95],"recorded":[97],"by":[98],"active":[102],"stereo":[103],"vision":[104],"RGBD-cameras":[105,120],"while":[106],"interacting":[107],"with":[108,134],"elements.":[110],"A":[111],"registration":[112],"routine":[113],"described,":[122],"accuracy":[124],"measurements":[125],"provided.":[127],"real":[129],"clouds":[131,138],"fused":[133],"virtually":[135],"generated":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
