{"id":"https://openalex.org/W2909481502","doi":"https://doi.org/10.1109/jbhi.2019.2891526","title":"Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation","display_name":"Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation","publication_year":2019,"publication_date":"2019-01-09","ids":{"openalex":"https://openalex.org/W2909481502","doi":"https://doi.org/10.1109/jbhi.2019.2891526","mag":"2909481502","pmid":"https://pubmed.ncbi.nlm.nih.gov/30629519"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2019.2891526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2891526","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5080161214","display_name":"Yu Zhao","orcid":"https://orcid.org/0000-0001-8179-4903"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325337","display_name":"Hongwei Li","orcid":"https://orcid.org/0000-0002-5328-6407"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hongwei Li","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003203521","display_name":"Shaohua Wan","orcid":"https://orcid.org/0000-0001-7013-9081"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Wan","raw_affiliation_strings":["School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087664142","display_name":"Anjany Sekuboyina","orcid":"https://orcid.org/0000-0002-5601-284X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anjany Sekuboyina","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101735199","display_name":"Xiaobin Hu","orcid":"https://orcid.org/0000-0002-5764-3096"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiaobin Hu","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041719713","display_name":"Giles Tetteh","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giles Tetteh","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005966038","display_name":"Marie Piraud","orcid":"https://orcid.org/0000-0002-4917-2458"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marie Piraud","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002068604","display_name":"Bjoern Menze","orcid":"https://orcid.org/0000-0003-4136-5690"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjoern Menze","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5080161214"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":15.6239,"has_fulltext":false,"cited_by_count":186,"citation_normalized_percentile":{"value":0.99215302,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"23","issue":"4","first_page":"1363","last_page":"1373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9950000047683716,"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":0.7970526218414307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.79595547914505},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7760169506072998},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6111916303634644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5655302405357361},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.543770968914032},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5309234261512756},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4378272593021393},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4370349645614624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3941401541233063}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7970526218414307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79595547914505},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7760169506072998},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6111916303634644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5655302405357361},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.543770968914032},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5309234261512756},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4378272593021393},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4370349645614624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3941401541233063}],"mesh":[{"descriptor_ui":"D000311","descriptor_name":"Adrenal Glands","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000311","descriptor_name":"Adrenal Glands","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000311","descriptor_name":"Adrenal Glands","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005704","descriptor_name":"Gallbladder","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005704","descriptor_name":"Gallbladder","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005704","descriptor_name":"Gallbladder","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010179","descriptor_name":"Pancreas","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D010179","descriptor_name":"Pancreas","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D010179","descriptor_name":"Pancreas","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2019.2891526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2891526","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:30629519","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30629519","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320313934","display_name":"Institut national de recherche en informatique et en automatique (INRIA)","ror":"https://ror.org/02kvxyf05"},{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320321652","display_name":"Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich","ror":"https://ror.org/05a28rw58"},{"id":"https://openalex.org/F4320322670","display_name":"Tehran University of Medical Sciences and Health Services","ror":"https://ror.org/01c4pz451"},{"id":"https://openalex.org/F4320323383","display_name":"Technische Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/02kkvpp62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W8258973","https://openalex.org/W91894041","https://openalex.org/W125636640","https://openalex.org/W135357456","https://openalex.org/W359174816","https://openalex.org/W1006518382","https://openalex.org/W1667869507","https://openalex.org/W1803207300","https://openalex.org/W1884191083","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1982668309","https://openalex.org/W2000585255","https://openalex.org/W2019085623","https://openalex.org/W2065698093","https://openalex.org/W2069331971","https://openalex.org/W2094792702","https://openalex.org/W2109315631","https://openalex.org/W2133287637","https://openalex.org/W2135535334","https://openalex.org/W2142431032","https://openalex.org/W2143207581","https://openalex.org/W2148157540","https://openalex.org/W2156503775","https://openalex.org/W2163605009","https://openalex.org/W2167510172","https://openalex.org/W2167896953","https://openalex.org/W2322480645","https://openalex.org/W2404719367","https://openalex.org/W2408295039","https://openalex.org/W2412453619","https://openalex.org/W2464708700","https://openalex.org/W2489612134","https://openalex.org/W2524186126","https://openalex.org/W2525671721","https://openalex.org/W2526009326","https://openalex.org/W2533800772","https://openalex.org/W2556767548","https://openalex.org/W2589644515","https://openalex.org/W2590651460","https://openalex.org/W2613041730","https://openalex.org/W2618530766","https://openalex.org/W2734349601","https://openalex.org/W2751915125","https://openalex.org/W2752246523","https://openalex.org/W2757454662","https://openalex.org/W2771234593","https://openalex.org/W2787769342","https://openalex.org/W2919115771","https://openalex.org/W2962914239","https://openalex.org/W3102109558","https://openalex.org/W6639824700","https://openalex.org/W6684372118","https://openalex.org/W6700594562"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220"],"abstract_inverted_index":{"Accurate":[0],"and":[1,14,31,50,77,99,116,151,180,189,230],"automatic":[2,63],"organ":[3,67],"segmentation":[4,22,68,102,169,195,235],"is":[5,114,165,178,208],"critical":[6],"for":[7,65,142],"computer-aided":[8],"analysis":[9],"towards":[10],"clinical":[11],"decision":[12],"support":[13],"treatment":[15],"planning.":[16],"State-of-the-art":[17],"approaches":[18,232],"have":[19],"achieved":[20],"remarkable":[21],"accuracy":[23,170],"on":[24,42],"large":[25],"organs,":[26,44],"such":[27,45],"as":[28,46,145],"the":[29,47,83,86,91,101,109,121,125,140,148,172,183,212,219,234],"liver":[30],"kidneys.":[32],"However,":[33],"most":[34],"of":[35,85,88,93,108,112,185,199,236],"these":[36],"methods":[37],"do":[38],"not":[39],"perform":[40],"well":[41],"small":[43,66,237],"pancreas,":[48],"gallbladder,":[49],"adrenal":[51],"glands,":[52],"especially":[53],"when":[54],"lacking":[55],"sufficient":[56],"training":[57,71],"data.":[58],"This":[59,175],"paper":[60],"presents":[61],"an":[62],"approach":[64],"with":[69],"limited":[70],"data":[72],"using":[73],"two":[74],"cascaded":[75],"steps-localization":[76],"segmentation.":[78],"The":[79,202],"localization":[80,126],"stage":[81],"involves":[82],"extraction":[84],"region":[87,111],"interest":[89,113],"after":[90],"registration":[92,136,143],"images":[94],"to":[95,120,130,138,146,167,197,210],"a":[96,104,132,154,159],"common":[97],"template":[98,141],"during":[100],"stage,":[103],"voxel-wise":[105],"label":[106],"map":[107],"extracted":[110],"obtained":[115],"then":[117],"transformed":[118],"back":[119],"original":[122],"space.":[123],"In":[124],"step,":[127],"we":[128],"propose":[129],"utilize":[131],"graph-based":[133],"groupwise":[134],"image":[135],"method":[137,221],"build":[139],"so":[144],"minimize":[147],"potential":[149],"bias":[150],"avoid":[152],"getting":[153],"fuzzy":[155],"template.":[156],"More":[157],"importantly,":[158],"novel":[160],"knowledge-aided":[161],"convolutional":[162],"neural":[163],"network":[164,177],"proposed":[166,176,220],"improve":[168],"in":[171,233],"second":[173],"stage.":[174],"flexible":[179],"can":[181],"combine":[182],"effort":[184],"both":[186],"deep":[187,224],"learning":[188,225],"traditional":[190,227],"methods,":[191],"consequently":[192],"achieving":[193],"better":[194],"relative":[196],"either":[198],"individual":[200],"methods.":[201],"ISBI":[203],"2015":[204],"VISCERAL":[205],"challenge":[206],"dataset":[207],"used":[209],"evaluate":[211],"presented":[213],"approach.":[214],"Experimental":[215],"results":[216],"demonstrate":[217],"that":[218],"outperforms":[222],"cutting-edge":[223],"approaches,":[226,229],"forest-based":[228],"multi-atlas":[231],"organs.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":57},{"year":2021,"cited_by_count":51},{"year":2020,"cited_by_count":32},{"year":2019,"cited_by_count":13}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}