{"id":"https://openalex.org/W3143351114","doi":"https://doi.org/10.1109/tip.2021.3070752","title":"Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities","display_name":"Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3143351114","doi":"https://doi.org/10.1109/tip.2021.3070752","mag":"3143351114","pmid":"https://pubmed.ncbi.nlm.nih.gov/33830924"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3070752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3070752","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/2104.06231","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023143784","display_name":"Tongxue Zhou","orcid":"https://orcid.org/0000-0003-3110-4884"},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Tongxue Zhou","raw_affiliation_strings":["LITIS-Apprentissage, INSA Rouen, Rouen, France","LITIS-QuantIF, Universit\u00e9 de Rouen Normandie, Rouen, France"],"raw_orcid":"https://orcid.org/0000-0003-3110-4884","affiliations":[{"raw_affiliation_string":"LITIS-Apprentissage, INSA Rouen, Rouen, France","institution_ids":["https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"raw_affiliation_string":"LITIS-QuantIF, Universit\u00e9 de Rouen Normandie, Rouen, France","institution_ids":["https://openalex.org/I4210108118","https://openalex.org/I62396329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017956425","display_name":"St\u00e9phane Canu","orcid":"https://orcid.org/0000-0002-7602-4557"},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stephane Canu","raw_affiliation_strings":["Laboratory LITIS, Normandie University, INSA Rouen, UNIROUEN, UNIHAVRE, Rouen, France"],"raw_orcid":"https://orcid.org/0000-0002-7602-4557","affiliations":[{"raw_affiliation_string":"Laboratory LITIS, Normandie University, INSA Rouen, UNIROUEN, UNIHAVRE, Rouen, France","institution_ids":["https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111409512","display_name":"Pierre V\u00e9ra","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Vera","raw_affiliation_strings":["Henri Becquerel Cancer Center, Rouen, France","LITIS-QuantIF, Universit\u00e9 de Rouen Normandie, Rouen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henri Becquerel Cancer Center, Rouen, France","institution_ids":[]},{"raw_affiliation_string":"LITIS-QuantIF, Universit\u00e9 de Rouen Normandie, Rouen, France","institution_ids":["https://openalex.org/I4210108118","https://openalex.org/I62396329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037212091","display_name":"Su Ruan","orcid":"https://orcid.org/0000-0001-8785-6917"},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Su Ruan","raw_affiliation_strings":["LITIS-QuantIF, Universit\u00e9 de Rouen Normandie, Rouen, France"],"raw_orcid":"https://orcid.org/0000-0001-8785-6917","affiliations":[{"raw_affiliation_string":"LITIS-QuantIF, Universit\u00e9 de Rouen Normandie, Rouen, France","institution_ids":["https://openalex.org/I4210108118","https://openalex.org/I62396329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.0622,"has_fulltext":false,"cited_by_count":217,"citation_normalized_percentile":{"value":0.99218237,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"4263","last_page":"4274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9979000091552734,"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/correlation","display_name":"Correlation","score":0.6845350861549377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6818455457687378},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6569001078605652},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6396116018295288},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6280280351638794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.606920599937439},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5910493731498718},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5753200650215149},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5545387864112854},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5097014904022217},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.469265878200531},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4185279607772827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17787015438079834},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13308677077293396},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08036410808563232}],"concepts":[{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6845350861549377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6818455457687378},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6569001078605652},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6396116018295288},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6280280351638794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.606920599937439},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5910493731498718},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5753200650215149},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5545387864112854},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5097014904022217},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.469265878200531},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4185279607772827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17787015438079834},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13308677077293396},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08036410808563232},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2021.3070752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3070752","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:33830924","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33830924","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2104.06231","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.06231","pdf_url":"https://arxiv.org/pdf/2104.06231","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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"},{"id":"pmh:oai:HAL:hal-03200795v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03200795","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2021, 30, pp.4263-4274. ⟨10.1109/TIP.2021.3070752⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.06231","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.06231","pdf_url":"https://arxiv.org/pdf/2104.06231","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G912677164","display_name":null,"funder_award_id":"18P03390/18E01750/18P02733","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1865761","https://openalex.org/W1524094261","https://openalex.org/W1533162639","https://openalex.org/W1884191083","https://openalex.org/W1901129140","https://openalex.org/W2064390925","https://openalex.org/W2301358467","https://openalex.org/W2502805798","https://openalex.org/W2597712471","https://openalex.org/W2751909359","https://openalex.org/W2752782242","https://openalex.org/W2767623272","https://openalex.org/W2792193061","https://openalex.org/W2798122215","https://openalex.org/W2804488433","https://openalex.org/W2884542984","https://openalex.org/W2892266666","https://openalex.org/W2895292895","https://openalex.org/W2900298334","https://openalex.org/W2911644317","https://openalex.org/W2914885892","https://openalex.org/W2938744788","https://openalex.org/W2942309166","https://openalex.org/W2948097295","https://openalex.org/W2955058313","https://openalex.org/W2963046541","https://openalex.org/W2963276418","https://openalex.org/W2963420686","https://openalex.org/W2963794428","https://openalex.org/W2967057970","https://openalex.org/W2970546341","https://openalex.org/W2979787545","https://openalex.org/W2979808779","https://openalex.org/W2997225633","https://openalex.org/W3026952619","https://openalex.org/W3027085571","https://openalex.org/W3027346144","https://openalex.org/W3027464604","https://openalex.org/W3028279406","https://openalex.org/W3030882797","https://openalex.org/W3032167926","https://openalex.org/W3032212743","https://openalex.org/W3044256341","https://openalex.org/W3103982318","https://openalex.org/W3211573487","https://openalex.org/W6600074859","https://openalex.org/W6631380489","https://openalex.org/W6639824700","https://openalex.org/W6724422434","https://openalex.org/W6743645564","https://openalex.org/W6745720447","https://openalex.org/W6748542448","https://openalex.org/W6750469568","https://openalex.org/W6751733626","https://openalex.org/W6755875945","https://openalex.org/W6755891590","https://openalex.org/W6758199759","https://openalex.org/W6759464136","https://openalex.org/W6761617618","https://openalex.org/W6767184294","https://openalex.org/W6767688321","https://openalex.org/W6767788037","https://openalex.org/W6769105414","https://openalex.org/W6770618654","https://openalex.org/W6777835993","https://openalex.org/W6777881666","https://openalex.org/W6777896869","https://openalex.org/W6778026136","https://openalex.org/W6778190661","https://openalex.org/W6778848441","https://openalex.org/W6803356969"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2110287964","https://openalex.org/W2167701463","https://openalex.org/W4307407935"],"abstract_inverted_index":{"Magnetic":[0],"Resonance":[1],"Imaging":[2],"(MRI)":[3],"is":[4,21,80,114],"a":[5,60,72,77,149],"widely":[6],"used":[7,115],"imaging":[8,50],"technique":[9],"to":[10,24,47,82,90,116,131,152],"assess":[11],"brain":[12,16,41,62],"tumor.":[13],"Accurately":[14],"segmenting":[15],"tumor":[17,42,63],"from":[18],"MR":[19,33],"images":[20,34],"the":[22,85,91,95,101,107,118,123,128,132,138,154,173],"key":[23],"clinical":[25,53],"diagnostics":[26],"and":[27,167,177],"treatment":[28],"planning.":[29],"In":[30,55],"addition,":[31],"multi-modal":[32],"can":[35],"provide":[36],"complementary":[37],"information":[38],"for":[39,158],"accurate":[40],"segmentation.":[43,159],"However,":[44],"it's":[45],"common":[46],"miss":[48],"some":[49],"modalities":[51,142,185],"in":[52,100],"practice.":[54],"this":[56],"paper,":[57],"we":[58],"present":[59],"novel":[61],"segmentation":[64,96],"algorithm":[65],"with":[66],"missing":[67,104],"modalities.":[68],"Since":[69],"it":[70,171],"exists":[71],"strong":[73],"correlation":[74,78,93,124,135,139],"between":[75],"multi-modalities,":[76],"model":[79,125,163],"proposed":[81],"specially":[83],"represent":[84],"latent":[86,133],"multi-source":[87,134],"correlation.":[88],"Thanks":[89],"obtained":[92],"representation,":[94],"becomes":[97],"more":[98,184],"robust":[99,179],"case":[102],"of":[103],"modality.":[105],"First,":[106],"individual":[108,129],"representation":[109,151],"produced":[110],"by":[111],"each":[112],"encoder":[113],"estimate":[117],"modality":[119],"independent":[120],"parameter.":[121],"Then,":[122],"transforms":[126],"all":[127],"representations":[130,140],"representations.":[136],"Finally,":[137],"across":[141],"are":[143,186],"fused":[144],"via":[145],"attention":[146],"mechanism":[147],"into":[148],"shared":[150],"emphasize":[153],"most":[155],"important":[156],"features":[157],"We":[160],"evaluate":[161],"our":[162],"on":[164],"BraTS":[165,168],"2018":[166],"2019":[169],"dataset,":[170],"outperforms":[172],"current":[174],"state-of-the-art":[175],"methods":[176],"produces":[178],"results":[180],"when":[181],"one":[182],"or":[183],"missing.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":47},{"year":2024,"cited_by_count":60},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":7}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}