{"id":"https://openalex.org/W2924253046","doi":"https://doi.org/10.1109/icaiic.2019.8669088","title":"Guidewire Tip Tracking using U-Net with Shape and Motion Constraints","display_name":"Guidewire Tip Tracking using U-Net with Shape and Motion Constraints","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2924253046","doi":"https://doi.org/10.1109/icaiic.2019.8669088","mag":"2924253046"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic.2019.8669088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic.2019.8669088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5101469298","display_name":"Ihsan Ullah","orcid":"https://orcid.org/0000-0002-5204-2283"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Ihsan Ullah","raw_affiliation_strings":["Robotics Engineering DGIST, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Robotics Engineering DGIST, Daegu, South Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038323415","display_name":"Philip Chikontwe","orcid":"https://orcid.org/0000-0002-6995-2312"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Philip Chikontwe","raw_affiliation_strings":["Robotics Engineering DGIST, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Robotics Engineering DGIST, Daegu, South Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440925","display_name":"Sang Hyun Park","orcid":"https://orcid.org/0000-0001-7476-1046"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang Hyun Park","raw_affiliation_strings":["Robotics Engineering DGIST, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Robotics Engineering DGIST, Daegu, South Korea","institution_ids":["https://openalex.org/I193352282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101469298"],"corresponding_institution_ids":["https://openalex.org/I193352282"],"apc_list":null,"apc_paid":null,"fwci":0.3912,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.5773941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"215","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10868","display_name":"Soft Robotics and Applications","score":0.9988999962806702,"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/T10868","display_name":"Soft Robotics and Applications","score":0.9988999962806702,"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":0.9930999875068665,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9843999743461609,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8613263964653015},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7939200401306152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7084271311759949},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6714444756507874},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6501230597496033},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5954491496086121},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5587321519851685},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.47850289940834045},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41820886731147766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32452845573425293}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8613263964653015},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7939200401306152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084271311759949},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6714444756507874},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6501230597496033},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5954491496086121},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5587321519851685},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.47850289940834045},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41820886731147766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32452845573425293},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic.2019.8669088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic.2019.8669088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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":16,"referenced_works":["https://openalex.org/W37594131","https://openalex.org/W639708223","https://openalex.org/W1901129140","https://openalex.org/W2045804775","https://openalex.org/W2065429801","https://openalex.org/W2119539043","https://openalex.org/W2124211486","https://openalex.org/W2158592639","https://openalex.org/W2159498975","https://openalex.org/W2318931232","https://openalex.org/W2395611524","https://openalex.org/W2480631127","https://openalex.org/W2962914239","https://openalex.org/W2964253307","https://openalex.org/W4211225190","https://openalex.org/W4231340930"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2084086966","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2023861399","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,37],"recent":[1],"years,":[2],"research":[3],"has":[4],"been":[5],"carried":[6],"out":[7],"using":[8,18,77,88],"a":[9,19,42,59,65,78],"micro-robot":[10,25],"catheter":[11],"instead":[12],"of":[13,31,106,134,139],"classic":[14],"cardiac":[15],"surgery":[16],"performed":[17,114],"catheter.":[20],"To":[21,57],"accurately":[22],"control":[23],"the":[24,32,46,54,85,98,107,126,130],"catheter,":[26],"accurate":[27],"and":[28,82,90,102,136],"decisive":[29],"tracking":[30,95,99,105],"guidewire":[33,55,108],"tip":[34,62,75,109],"is":[35,113],"required.":[36],"this":[38],"paper,":[39],"we":[40,71],"propose":[41],"method":[43,128],"based":[44],"on":[45],"deep":[47],"convolutional":[48],"neural":[49],"network":[50],"(CNN)":[51],"to":[52],"track":[53],"tip.":[56],"extract":[58,84],"very":[60],"small":[61,74],"region":[63],"from":[64],"large":[66],"image":[67],"in":[68,110,116],"video":[69,111],"sequences,":[70],"first":[72],"segment":[73],"candidates":[76],"segmentation":[79],"CNN":[80],"architecture,":[81],"then":[83],"best":[86],"candidate":[87],"shape":[89],"motion":[91],"constraints.":[92],"The":[93,104],"segmentation-based":[94],"strategy":[96],"makes":[97],"process":[100],"robust":[101],"sturdy.":[103],"sequences":[112],"fully-automated":[115],"real-time,":[117],"i.e.,":[118],"71":[119],"ms":[120],"per":[121],"image.":[122],"For":[123],"two-fold":[124],"cross-validation,":[125],"proposed":[127],"achieves":[129],"average":[131],"Dice":[132],"score":[133,138],"88.07%":[135],"IoU":[137],"85.07%.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}