{"id":"https://openalex.org/W3165446958","doi":"https://doi.org/10.1109/isbi48211.2021.9433794","title":"Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation","display_name":"Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3165446958","doi":"https://doi.org/10.1109/isbi48211.2021.9433794","mag":"3165446958"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9433794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th 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/A5069243328","display_name":"Cong Xie","orcid":"https://orcid.org/0000-0002-5682-0230"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Xie","raw_affiliation_strings":["Tencent Jarvis Lab","Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031166420","display_name":"Shilei Cao","orcid":"https://orcid.org/0000-0002-4728-8051"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilei Cao","raw_affiliation_strings":["Tencent Jarvis Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459790","display_name":"Dong Wei","orcid":"https://orcid.org/0000-0001-5969-6987"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wei","raw_affiliation_strings":["Tencent Jarvis Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783219","display_name":"Hong-Yu Zhou","orcid":"https://orcid.org/0000-0002-1256-7050"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongyu Zhou","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621577","display_name":"Kai Ma","orcid":"https://orcid.org/0000-0003-2805-3692"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ma","raw_affiliation_strings":["Tencent Jarvis Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006451453","display_name":"Xianli Zhang","orcid":"https://orcid.org/0000-0003-1995-3904"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianli Zhang","raw_affiliation_strings":["Tencent Jarvis Lab","Xi\u2019an Jiaotong University","Xi'an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Xi\u2019an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074506574","display_name":"Buyue Qian","orcid":"https://orcid.org/0000-0003-4780-5677"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Buyue Qian","raw_affiliation_strings":["Xi\u2019an Jiaotong University","Xi'an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613491","display_name":"Liansheng Wang","orcid":"https://orcid.org/0000-0002-2096-454X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liansheng Wang","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Tencent Jarvis Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6825,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90730696,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"921","last_page":"924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9986000061035156,"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":0.7020460963249207},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7013903856277466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6476476192474365},{"id":"https://openalex.org/keywords/response-evaluation-criteria-in-solid-tumors","display_name":"Response Evaluation Criteria in Solid Tumors","score":0.565772294998169},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5371068120002747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4753446578979492},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.45679405331611633},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4185105562210083},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.41159766912460327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3963378369808197},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1831289529800415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18191498517990112},{"id":"https://openalex.org/keywords/clinical-trial","display_name":"Clinical trial","score":0.0814235508441925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020460963249207},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7013903856277466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6476476192474365},{"id":"https://openalex.org/C2779984678","wikidata":"https://www.wikidata.org/wiki/Q2145898","display_name":"Response Evaluation Criteria in Solid Tumors","level":4,"score":0.565772294998169},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5371068120002747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4753446578979492},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.45679405331611633},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4185105562210083},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.41159766912460327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3963378369808197},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1831289529800415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18191498517990112},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.0814235508441925},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31760486","wikidata":"https://www.wikidata.org/wiki/Q7180990","display_name":"Phases of clinical research","level":3,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi48211.2021.9433794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2124351162","https://openalex.org/W2307770531","https://openalex.org/W2809942416","https://openalex.org/W2883683269","https://openalex.org/W2884584803","https://openalex.org/W2939059980","https://openalex.org/W2948647440","https://openalex.org/W2963008565","https://openalex.org/W2963150697","https://openalex.org/W2963927307","https://openalex.org/W2970268029","https://openalex.org/W2979362285","https://openalex.org/W2979564444","https://openalex.org/W2979736498","https://openalex.org/W2979841734","https://openalex.org/W2980091915","https://openalex.org/W2999246307","https://openalex.org/W3012573144","https://openalex.org/W3104211200","https://openalex.org/W6697925102","https://openalex.org/W6786264920"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W1557094818","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W3039174484","https://openalex.org/W4287728368"],"abstract_inverted_index":{"Universal":[0],"lesion":[1,20,67,87],"detection":[2,68],"in":[3,19,29,55,69,107],"computed":[4],"tomography":[5],"(CT)":[6],"images":[7],"is":[8],"an":[9],"important":[10],"yet":[11],"challenging":[12],"task":[13],"due":[14],"to":[15,48,66,126],"the":[16,34,49,71,79],"large":[17],"variations":[18],"type,":[21],"size,":[22],"shape,":[23],"and":[24,43,75,99,111],"appearance.":[25],"Considering":[26],"that":[27,132],"data":[28],"clinical":[30],"routine":[31],"(such":[32],"as":[33,88],"DeepLesion":[35],"dataset)":[36],"are":[37,82],"usually":[38],"annotated":[39],"with":[40],"a":[41,44,63,86,92,121,135],"long":[42],"short":[45],"diameter":[46],"according":[47],"standard":[50],"of":[51,78,115,137],"Response":[52],"Evaluation":[53],"Criteria":[54],"Solid":[56],"Tumors":[57],"(RECIST)":[58],"diameters,":[59],"we":[60,90],"propose":[61],"RECIST-Net,":[62],"new":[64],"approach":[65,124],"which":[70],"four":[72,140],"extreme":[73],"points":[74],"center":[76],"point":[77],"RECIST":[80],"diameters":[81],"detected.":[83],"By":[84],"detecting":[85],"keypoints,":[89],"provide":[91],"more":[93],"conceptually":[94],"straightforward":[95],"formulation":[96],"for":[97],"detection,":[98],"overcome":[100],"several":[101],"drawbacks":[102],"(e.g.,":[103],"requiring":[104],"extensive":[105],"effort":[106],"designing":[108],"data-appropriate":[109],"anchors":[110],"losing":[112],"shape":[113],"information)":[114],"existing":[116],"bounding-box-based":[117],"methods":[118,148],"while":[119],"exploring":[120],"single-task,":[122],"one-stage":[123],"compared":[125],"other":[127,146],"RECIST-based":[128],"approaches.":[129],"Experiments":[130],"show":[131],"RECIST-Net":[133],"achieves":[134],"sensitivity":[136],"92.49%":[138],"at":[139],"false":[141],"positives":[142],"per":[143],"image,":[144],"outperforming":[145],"recent":[147],"including":[149],"those":[150],"using":[151],"multi-task":[152],"learning.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
