{"id":"https://openalex.org/W4386362522","doi":"https://doi.org/10.1109/isbi53787.2023.10230819","title":"MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation","display_name":"MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386362522","doi":"https://doi.org/10.1109/isbi53787.2023.10230819"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230819","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/A5034010249","display_name":"Nicol\u00e1s Ayobi","orcid":"https://orcid.org/0000-0002-0691-3770"},"institutions":[{"id":"https://openalex.org/I162096671","display_name":"Universidad de Los Andes","ror":"https://ror.org/02mhbdp94","country_code":"CO","type":"education","lineage":["https://openalex.org/I162096671"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Nicol\u00e1s Ayobi","raw_affiliation_strings":["Universidad de los Andes,Center for Research and Formation in Artificial Intelligence,Colombia","Center for Research and Formation in Artificial Intelligence, Universidad de los Andes, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de los Andes,Center for Research and Formation in Artificial Intelligence,Colombia","institution_ids":["https://openalex.org/I162096671"]},{"raw_affiliation_string":"Center for Research and Formation in Artificial Intelligence, Universidad de los Andes, Colombia","institution_ids":["https://openalex.org/I162096671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044852244","display_name":"Alejandra P\u00e9rez-Rond\u00f3n","orcid":null},"institutions":[{"id":"https://openalex.org/I162096671","display_name":"Universidad de Los Andes","ror":"https://ror.org/02mhbdp94","country_code":"CO","type":"education","lineage":["https://openalex.org/I162096671"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Alejandra P\u00e9rez-Rond\u00f3n","raw_affiliation_strings":["Universidad de los Andes,Center for Research and Formation in Artificial Intelligence,Colombia","Center for Research and Formation in Artificial Intelligence, Universidad de los Andes, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de los Andes,Center for Research and Formation in Artificial Intelligence,Colombia","institution_ids":["https://openalex.org/I162096671"]},{"raw_affiliation_string":"Center for Research and Formation in Artificial Intelligence, Universidad de los Andes, Colombia","institution_ids":["https://openalex.org/I162096671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774261","display_name":"Santiago Rodr\u0131\u0301guez","orcid":"https://orcid.org/0000-0002-7378-3945"},"institutions":[{"id":"https://openalex.org/I162096671","display_name":"Universidad de Los Andes","ror":"https://ror.org/02mhbdp94","country_code":"CO","type":"education","lineage":["https://openalex.org/I162096671"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Santiago Rodr\u00edguez","raw_affiliation_strings":["Universidad de los Andes,Center for Research and Formation in Artificial Intelligence,Colombia","Center for Research and Formation in Artificial Intelligence, Universidad de los Andes, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de los Andes,Center for Research and Formation in Artificial Intelligence,Colombia","institution_ids":["https://openalex.org/I162096671"]},{"raw_affiliation_string":"Center for Research and Formation in Artificial Intelligence, Universidad de los Andes, Colombia","institution_ids":["https://openalex.org/I162096671"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013512298","display_name":"Pablo Arbel\u00e1ez","orcid":"https://orcid.org/0000-0001-5244-2407"},"institutions":[{"id":"https://openalex.org/I162096671","display_name":"Universidad de Los Andes","ror":"https://ror.org/02mhbdp94","country_code":"CO","type":"education","lineage":["https://openalex.org/I162096671"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Pablo Arbel\u00e1ez","raw_affiliation_strings":["Universidad de los Andes,Center for Research and Formation in Artificial Intelligence,Colombia","Center for Research and Formation in Artificial Intelligence, Universidad de los Andes, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de los Andes,Center for Research and Formation in Artificial Intelligence,Colombia","institution_ids":["https://openalex.org/I162096671"]},{"raw_affiliation_string":"Center for Research and Formation in Artificial Intelligence, Universidad de los Andes, Colombia","institution_ids":["https://openalex.org/I162096671"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162096671"],"apc_list":null,"apc_paid":null,"fwci":56.5559,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.99859551,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9959999918937683,"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/T11984","display_name":"Anatomy and Medical Technology","score":0.9764999747276306,"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/T13953","display_name":"Digital Imaging in Medicine","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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":0.7336026430130005},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7224797606468201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6187907457351685},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6174594759941101},{"id":"https://openalex.org/keywords/surgical-instrument","display_name":"Surgical instrument","score":0.5879181623458862},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5830559134483337},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.551400363445282},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5139284133911133},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4281446635723114},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12802529335021973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336026430130005},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7224797606468201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6187907457351685},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6174594759941101},{"id":"https://openalex.org/C2778181360","wikidata":"https://www.wikidata.org/wiki/Q1074814","display_name":"Surgical instrument","level":2,"score":0.5879181623458862},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5830559134483337},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.551400363445282},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5139284133911133},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4281446635723114},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12802529335021973},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230819","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":45,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2048201480","https://openalex.org/W2604690505","https://openalex.org/W2619947201","https://openalex.org/W2783059813","https://openalex.org/W2792767783","https://openalex.org/W2802208855","https://openalex.org/W2922139421","https://openalex.org/W2963150697","https://openalex.org/W2967498193","https://openalex.org/W2979630916","https://openalex.org/W2980225217","https://openalex.org/W2981462961","https://openalex.org/W3003209274","https://openalex.org/W3092462694","https://openalex.org/W3094502228","https://openalex.org/W3095500987","https://openalex.org/W3096104140","https://openalex.org/W3096609285","https://openalex.org/W3096724473","https://openalex.org/W3128248230","https://openalex.org/W3138516171","https://openalex.org/W3168880123","https://openalex.org/W3204241019","https://openalex.org/W3205596143","https://openalex.org/W3213165621","https://openalex.org/W4214614183","https://openalex.org/W4221148496","https://openalex.org/W4221166280","https://openalex.org/W4229062227","https://openalex.org/W4281630010","https://openalex.org/W4288574670","https://openalex.org/W4296193539","https://openalex.org/W4312560592","https://openalex.org/W4312815172","https://openalex.org/W6639102338","https://openalex.org/W6751430876","https://openalex.org/W6758742486","https://openalex.org/W6773996751","https://openalex.org/W6778485988","https://openalex.org/W6784094891","https://openalex.org/W6784333009","https://openalex.org/W6798837711","https://openalex.org/W6804552856","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"We":[0,65],"propose":[1],"Masked-Attention":[2],"Transformers":[3],"for":[4,20],"Surgical":[5],"Instrument":[6],"Segmentation":[7],"(MATIS),":[8],"a":[9,33,41],"two-stage,":[10],"fully":[11],"transformer-based":[12],"method":[13,49],"that":[14,37,83,92],"leverages":[15],"modern":[16],"pixel-wise":[17],"attention":[18,35],"mechanisms":[19],"instrument":[21,45],"segmentation.":[22],"MATIS":[23],"exploits":[24],"the":[25,29,70],"instance-level":[26],"nature":[27],"of":[28,43],"task":[30],"by":[31],"employing":[32],"masked":[34],"module":[36,97],"generates":[38],"and":[39,61,77,91],"classifies":[40],"set":[42],"fine":[44],"region":[46],"proposals.":[47],"Our":[48,80],"incorporates":[50],"long-term":[51],"video-level":[52],"information":[53],"through":[54],"video":[55],"transformers":[56],"to":[57],"improve":[58],"temporal":[59,95],"consistency":[60,96],"enhance":[62],"mask":[63],"classification.":[64],"validate":[66],"our":[67,94,99],"approach":[68],"in":[69],"two":[71],"standard":[72],"public":[73],"benchmarks,":[74],"Endovis":[75,78],"2017":[76],"2018.":[79],"experiments":[81],"demonstrate":[82],"MATIS\u2019":[84],"per-frame":[85],"baseline":[86],"outperforms":[87],"previous":[88],"state-of-the-art":[89],"methods":[90],"including":[93],"boosts":[98],"model\u2019s":[100],"performance":[101],"further.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2025-10-10T00:00:00"}
