{"id":"https://openalex.org/W3116982717","doi":"https://doi.org/10.1109/tmi.2020.3048477","title":"Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning","display_name":"Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning","publication_year":2020,"publication_date":"2020-12-31","ids":{"openalex":"https://openalex.org/W3116982717","doi":"https://doi.org/10.1109/tmi.2020.3048477","mag":"3116982717","pmid":"https://pubmed.ncbi.nlm.nih.gov/33382649"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2020.3048477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3048477","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.10692","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102841916","display_name":"Chaofan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaofan Ma","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210099312","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035884372","display_name":"Qisen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qisen Xu","raw_affiliation_strings":["MOE Key Laboratory for Advanced Theory and Application in Statistics and Data Science, School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Advanced Theory and Application in Statistics and Data Science, School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101927070","display_name":"Xiangfeng Wang","orcid":"https://orcid.org/0000-0003-3064-5128"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangfeng Wang","raw_affiliation_strings":["MOE Key Laboratory for Advanced Theory and Application in Statistics and Data Science, School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Advanced Theory and Application in Statistics and Data Science, School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748265","display_name":"Bo Jin","orcid":"https://orcid.org/0000-0003-1028-5989"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jin","raw_affiliation_strings":["MOE Key Laboratory for Advanced Theory and Application in Statistics and Data Science, School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Advanced Theory and Application in Statistics and Data Science, School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452809","display_name":"Xiaoyun Zhang","orcid":"https://orcid.org/0000-0001-7680-4062"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Zhang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210099312","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645705","display_name":"Yanfeng Wang","orcid":"https://orcid.org/0000-0002-3196-2347"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Wang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210099312","https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342828","display_name":"Ya Zhang","orcid":"https://orcid.org/0000-0002-5390-9053"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Zhang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210099312","https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102841916"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312"],"apc_list":null,"apc_paid":null,"fwci":1.3736,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.84193816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"40","issue":"10","first_page":"2563","last_page":"2574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9995999932289124,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.7532148361206055},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7397583723068237},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.712120532989502},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6774998307228088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6327252388000488},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5546919107437134},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4905337691307068},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.47397011518478394},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.45246243476867676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3933219909667969},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3531530201435089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34231752157211304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20637920498847961},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17883485555648804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532148361206055},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7397583723068237},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.712120532989502},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6774998307228088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6327252388000488},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5546919107437134},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4905337691307068},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47397011518478394},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.45246243476867676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3933219909667969},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3531530201435089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34231752157211304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20637920498847961},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17883485555648804},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2020.3048477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3048477","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:33382649","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33382649","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:2303.10692","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.10692","pdf_url":"https://arxiv.org/pdf/2303.10692","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.10692","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.10692","pdf_url":"https://arxiv.org/pdf/2303.10692","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1866817718","display_name":null,"funder_award_id":"2018-RGZN-02046","funder_id":"https://openalex.org/F4320325413","funder_display_name":"Shanghai Municipal Commission of Economy and Informatization"},{"id":"https://openalex.org/G2603165212","display_name":null,"funder_award_id":"12071145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7814127966","display_name":null,"funder_award_id":"18DZ2270700","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G8036107462","display_name":null,"funder_award_id":"2020AAA0107400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8493621074","display_name":null,"funder_award_id":"20511101100","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320325413","display_name":"Shanghai Municipal Commission of Economy and Informatization","ror":"https://ror.org/04166ws88"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1771410628","https://openalex.org/W1901129140","https://openalex.org/W2113137767","https://openalex.org/W2118246710","https://openalex.org/W2124351162","https://openalex.org/W2145339207","https://openalex.org/W2151477212","https://openalex.org/W2155027007","https://openalex.org/W2155968351","https://openalex.org/W2161236525","https://openalex.org/W2163096274","https://openalex.org/W2169551590","https://openalex.org/W2173564293","https://openalex.org/W2201581102","https://openalex.org/W2291593693","https://openalex.org/W2300469113","https://openalex.org/W2345670464","https://openalex.org/W2396622801","https://openalex.org/W2464708700","https://openalex.org/W2609825896","https://openalex.org/W2732931556","https://openalex.org/W2736601468","https://openalex.org/W2746553466","https://openalex.org/W2769833683","https://openalex.org/W2776054962","https://openalex.org/W2776163999","https://openalex.org/W2795276939","https://openalex.org/W2798769484","https://openalex.org/W2799089472","https://openalex.org/W2823072336","https://openalex.org/W2883514733","https://openalex.org/W2884436604","https://openalex.org/W2892104854","https://openalex.org/W2895800749","https://openalex.org/W2900130428","https://openalex.org/W2900298334","https://openalex.org/W2948097295","https://openalex.org/W2948553897","https://openalex.org/W2951799221","https://openalex.org/W2952793010","https://openalex.org/W2962914239","https://openalex.org/W2963407617","https://openalex.org/W2963477884","https://openalex.org/W2963864421","https://openalex.org/W2964037732","https://openalex.org/W2964043796","https://openalex.org/W2981038142","https://openalex.org/W2991046523","https://openalex.org/W3028279406","https://openalex.org/W3034278117","https://openalex.org/W3034550159","https://openalex.org/W3034586976","https://openalex.org/W3035127651","https://openalex.org/W3096458623","https://openalex.org/W3096945436","https://openalex.org/W3103982318","https://openalex.org/W4297627396","https://openalex.org/W4299802797","https://openalex.org/W4312900066","https://openalex.org/W4385490361","https://openalex.org/W6638018090","https://openalex.org/W6639824700","https://openalex.org/W6683204974","https://openalex.org/W6684921986","https://openalex.org/W6685444567","https://openalex.org/W6687681856","https://openalex.org/W6692846177","https://openalex.org/W6738796088","https://openalex.org/W6741002519","https://openalex.org/W6753182481","https://openalex.org/W6755891590","https://openalex.org/W6771274123","https://openalex.org/W6777881666"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W4283160672","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Interactive":[0],"segmentation":[1,12,26,49,87],"has":[2],"recently":[3],"been":[4],"explored":[5],"to":[6,29,44,130,148],"effectively":[7],"and":[8,36,56,79,138,167,171,173,208],"efficiently":[9],"harvest":[10],"high-quality":[11],"masks":[13],"by":[14],"iteratively":[15],"incorporating":[16],"user":[17],"hints.":[18],"While":[19],"iterative":[20,46],"in":[21,123,134,142],"nature,":[22],"most":[23],"existing":[24],"interactive":[25,47],"methods":[27],"tend":[28],"ignore":[30],"the":[31,72,80,86,95,124,132,143,150,157,193,198,201],"dynamics":[32],"of":[33,119,126,145,152,159,162,203],"successive":[34],"interactions":[35],"take":[37],"each":[38,64],"interaction":[39,182],"independently.":[40],"We":[41],"here":[42],"propose":[43,178],"model":[45],"image":[48],"with":[50,59,200],"a":[51,114,120,135,139,179],"Markov":[52],"decision":[53],"process":[54],"(MDP)":[55],"solve":[57],"it":[58],"reinforcement":[60,90],"learning":[61,91],"(RL)":[62],"where":[63,94],"voxel":[65],"is":[66,92,98],"treated":[67],"as":[68],"an":[69],"agent.":[70],"Considering":[71,102],"large":[73],"exploration":[74],"space":[75],"for":[76,85,109,169,175],"voxel-wise":[77],"prediction":[78],"dependence":[81],"among":[82,100],"neighboring":[83],"voxels":[84,105],"tasks,":[88],"multi-agent":[89],"adopted,":[93],"voxel-level":[96],"policy":[97,133],"shared":[99],"agents.":[101],"that":[103,192],"boundary":[104,140,153],"are":[106],"more":[107],"important":[108],"segmentation,":[110],"we":[111,177],"further":[112],"introduce":[113],"boundary-aware":[115],"reward,":[116],"which":[117],"consists":[118],"global":[121],"reward":[122,141],"form":[125,144],"relative":[127,146],"cross-entropy":[128],"gain,":[129],"update":[131],"constrained":[136],"direction,":[137],"weight,":[147],"emphasize":[149],"correctness":[151],"predictions.":[154],"To":[155],"combine":[156],"advantages":[158],"different":[160],"types":[161],"interactions,":[163,205],"i.":[164],"e.,":[165],"simple":[166],"efficient":[168],"point-clicking,":[170],"stable":[172],"robust":[174],"scribbles,":[176],"supervoxel-clicking":[180],"based":[181],"design.":[183],"Experimental":[184],"results":[185],"on":[186],"four":[187],"benchmark":[188],"datasets":[189],"have":[190],"shown":[191],"proposed":[194],"method":[195],"significantly":[196],"outperforms":[197],"state-of-the-arts,":[199],"advantage":[202],"fewer":[204],"higher":[206],"accuracy,":[207],"enhanced":[209],"robustness.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
