{"id":"https://openalex.org/W4389990857","doi":"https://doi.org/10.1109/ist59124.2023.10355732","title":"Preoperative planning for Coronary Artery Disease using 3D Segmentation and Mixed Reality","display_name":"Preoperative planning for Coronary Artery Disease using 3D Segmentation and Mixed Reality","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4389990857","doi":"https://doi.org/10.1109/ist59124.2023.10355732"},"language":"en","primary_location":{"id":"doi:10.1109/ist59124.2023.10355732","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ist59124.2023.10355732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/IST59124.2023.10355732","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067757331","display_name":"Manahil Zulfiqar","orcid":"https://orcid.org/0009-0002-5875-6049"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]},{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]},{"id":"https://openalex.org/I23574469","display_name":"Krakow University of Economics","ror":"https://ror.org/0262te083","country_code":"PL","type":"education","lineage":["https://openalex.org/I23574469"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Manahil Zulfiqar","raw_affiliation_strings":["AGH University of Krakow,MedApp S.A.,Krakow,Poland","MedApp S.A., AGH University of Krakow, Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Krakow,MedApp S.A.,Krakow,Poland","institution_ids":["https://openalex.org/I686019","https://openalex.org/I23574469"]},{"raw_affiliation_string":"MedApp S.A., AGH University of Krakow, Krakow, Poland","institution_ids":["https://openalex.org/I126596746","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081725595","display_name":"Maciej Stanuch","orcid":"https://orcid.org/0000-0002-6764-3815"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]},{"id":"https://openalex.org/I23574469","display_name":"Krakow University of Economics","ror":"https://ror.org/0262te083","country_code":"PL","type":"education","lineage":["https://openalex.org/I23574469"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Stanuch","raw_affiliation_strings":["AGH University of Krakow,MedApp S.A.,Krakow,Poland","MedApp S.A., AGH University of Krakow, Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Krakow,MedApp S.A.,Krakow,Poland","institution_ids":["https://openalex.org/I686019","https://openalex.org/I23574469"]},{"raw_affiliation_string":"MedApp S.A., AGH University of Krakow, Krakow, Poland","institution_ids":["https://openalex.org/I126596746","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073000204","display_name":"Andrzej Skalski","orcid":"https://orcid.org/0000-0003-2299-458X"},"institutions":[{"id":"https://openalex.org/I23574469","display_name":"Krakow University of Economics","ror":"https://ror.org/0262te083","country_code":"PL","type":"education","lineage":["https://openalex.org/I23574469"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]},{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Andrzej Skalski","raw_affiliation_strings":["AGH University of Krakow,MedApp S.A.,Krakow,Poland","MedApp S.A., AGH University of Krakow, Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Krakow,MedApp S.A.,Krakow,Poland","institution_ids":["https://openalex.org/I686019","https://openalex.org/I23574469"]},{"raw_affiliation_string":"MedApp S.A., AGH University of Krakow, Krakow, Poland","institution_ids":["https://openalex.org/I126596746","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067757331"],"corresponding_institution_ids":["https://openalex.org/I126596746","https://openalex.org/I23574469","https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17643838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11984","display_name":"Anatomy and Medical Technology","score":0.9948999881744385,"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/T11984","display_name":"Anatomy and Medical Technology","score":0.9948999881744385,"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/T10916","display_name":"Surgical Simulation and Training","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coronary-arteries","display_name":"Coronary arteries","score":0.7593122124671936},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6705387830734253},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"Coronary artery disease","score":0.6414550542831421},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6259674429893494},{"id":"https://openalex.org/keywords/perioperative","display_name":"Perioperative","score":0.6213100552558899},{"id":"https://openalex.org/keywords/myocardial-infarction","display_name":"Myocardial infarction","score":0.47922641038894653},{"id":"https://openalex.org/keywords/percutaneous-coronary-intervention","display_name":"Percutaneous coronary intervention","score":0.45708322525024414},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.44673794507980347},{"id":"https://openalex.org/keywords/surgical-planning","display_name":"Surgical planning","score":0.42241203784942627},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.40023189783096313},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3433965742588043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3086628317832947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3078979253768921}],"concepts":[{"id":"https://openalex.org/C2778742706","wikidata":"https://www.wikidata.org/wiki/Q18361829","display_name":"Coronary arteries","level":3,"score":0.7593122124671936},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6705387830734253},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.6414550542831421},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6259674429893494},{"id":"https://openalex.org/C31174226","wikidata":"https://www.wikidata.org/wiki/Q64855140","display_name":"Perioperative","level":2,"score":0.6213100552558899},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.47922641038894653},{"id":"https://openalex.org/C2780400711","wikidata":"https://www.wikidata.org/wiki/Q2008344","display_name":"Percutaneous coronary intervention","level":3,"score":0.45708322525024414},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.44673794507980347},{"id":"https://openalex.org/C2779370443","wikidata":"https://www.wikidata.org/wiki/Q1776627","display_name":"Surgical planning","level":2,"score":0.42241203784942627},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.40023189783096313},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3433965742588043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3086628317832947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3078979253768921}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ist59124.2023.10355732","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ist59124.2023.10355732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:14524522","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IST59124.2023.10355732","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE IST, 2023 IEEE International Conference on Imaging Systems and Techniques (IST), Kopenhagen, Denmark, October 17\u201319, 2023","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:14524522","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IST59124.2023.10355732","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE IST, 2023 IEEE International Conference on Imaging Systems and Techniques (IST), Kopenhagen, Denmark, October 17\u201319, 2023","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2579683363","https://openalex.org/W2621363353","https://openalex.org/W2756030208","https://openalex.org/W2765981850","https://openalex.org/W2895401428","https://openalex.org/W2914363005","https://openalex.org/W2927851116","https://openalex.org/W2952466568","https://openalex.org/W2966713650","https://openalex.org/W2990368613","https://openalex.org/W2997528981","https://openalex.org/W3139541320","https://openalex.org/W3208531740","https://openalex.org/W4385813883","https://openalex.org/W6631190155","https://openalex.org/W6745577681","https://openalex.org/W6766669405"],"related_works":["https://openalex.org/W200942561","https://openalex.org/W4285792917","https://openalex.org/W2954763902","https://openalex.org/W1969612914","https://openalex.org/W1989843070","https://openalex.org/W1589001095","https://openalex.org/W3029505986","https://openalex.org/W3029652213","https://openalex.org/W2497930382","https://openalex.org/W2884399111"],"abstract_inverted_index":{"Coronary":[0,36,50],"arteries":[1,78,123],"are":[2,214],"crucial":[3],"for":[4,104,124,145,158,246],"keeping":[5],"the":[6,14,74,84,98,105,116,139,149,217,228,233,239,247],"function":[7],"of":[8,76,87,91,109,121,126,148,167,172,235],"our":[9],"heart":[10],"muscles":[11],"by":[12],"delivering":[13],"necessary":[15],"resources":[16],"like":[17,48],"oxygen":[18],"and":[19,43,101,107,118,129,183,200,208,242,252],"nutrients.":[20],"However,":[21],"many":[22,44],"problems":[23],"may":[24],"arise":[25],"that":[26],"can":[27,93,231],"lead":[28],"to":[29,54,65,80,97],"potentially":[30],"serious":[31],"health":[32],"issues":[33],"such":[34],"as":[35],"Artery":[37],"Disease,":[38],"Myocardial":[39],"Infarction,":[40],"Dissection,":[41],"Aneurysms":[42],"more.":[45],"Sometimes,":[46],"surgery":[47,60,248],"Percutaneous":[49],"Intervention":[51],"is":[52,102,132],"needed":[53],"fix":[55],"a":[56,71],"blocked":[57],"artery.":[58],"The":[59,164,174,193,203,211,225],"needs":[61,79],"an":[62],"intensive":[63],"planning":[64,73,131,162,251],"prevent":[66],"perioperative":[67],"complications.":[68],"To":[69],"perform":[70],"proper":[72],"anatomy":[75,100,234],"coronary":[77,110,122,150,236],"be":[81],"studied.":[82],"From":[83],"technical":[85],"point":[86],"view":[88],"automatic":[89],"segmentation":[90,120,147,194,212],"coronaries":[92],"provide":[94],"information":[95],"related":[96],"3D":[99,140],"essential":[103],"diagnosis":[106],"quantification":[108,125],"artery":[111],"disease.":[112],"In":[113,136],"clinical":[114],"practice":[115],"manual":[117],"semi-automatic":[119],"narrowing":[127],"part":[128],"treatment":[130],"still":[133],"being":[134],"used.":[135],"this":[137],"study,":[138],"Dense-U-Net":[141],"architecture":[142],"was":[143,156,176],"proposed":[144,204],"precise":[146],"arteries.":[151],"Additionally,":[152],"Mixed":[153,223],"Realty":[154],"solution":[155],"introduced":[157],"pathology":[159],"assessment":[160],"during":[161,249],"stage.":[163],"dataset":[165,175],"consists":[166],"1000":[168],"computed":[169],"tomography":[170],"angiography":[171],"patients.":[173],"divided":[177],"in":[178,186,222],"three":[179],"subsets.":[180],"Training,":[181],"validation":[182],"test":[184],"sets":[185],"ratio":[187],"70":[188],":":[189,191],"15":[190],"15.":[192],"results":[195,213],"were":[196],"evaluated":[197],"using":[198],"Dice":[199],"Hausdorff":[201],"metrics.":[202],"method":[205],"achieved":[206],"0.8206":[207],"22.06mm":[209],"respectively.":[210],"combined":[215],"with":[216],"Computed":[218],"Tomography":[219],"volumetric":[220],"rendering":[221],"Reality.":[224],"operator":[226],"wearing":[227],"head-mounted":[229],"display":[230],"assess":[232],"arteries,":[237],"analyse":[238],"potential":[240],"blockages":[241],"evaluate":[243],"his/her":[244],"approach":[245],"preoperative":[250],"also":[253],"intraoperatively.":[254]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}