{"id":"https://openalex.org/W4386350530","doi":"https://doi.org/10.1109/isbi53787.2023.10230665","title":"Ensemble Tabnet Predicting a T-Cell/MHC-I-Based Immune Profile Biomarker for Colorectal Liver Metastases from CT Images","display_name":"Ensemble Tabnet Predicting a T-Cell/MHC-I-Based Immune Profile Biomarker for Colorectal Liver Metastases from CT Images","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386350530","doi":"https://doi.org/10.1109/isbi53787.2023.10230665"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230665","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/A5022636344","display_name":"Ralph Saber","orcid":"https://orcid.org/0000-0003-4770-8631"},"institutions":[{"id":"https://openalex.org/I4210142730","display_name":"Centre Hospitalier de l\u2019Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0410a8y51","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I4210142730"]},{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ralph Saber","raw_affiliation_strings":["Polytechnique Montr&#x00E9;al,Montreal, Quebec,Canada","Centre de Recherche du CHUM, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnique Montr&#x00E9;al,Montreal, Quebec,Canada","institution_ids":["https://openalex.org/I45683168"]},{"raw_affiliation_string":"Centre de Recherche du CHUM, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I4210142730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112742000","display_name":"David Henault","orcid":"https://orcid.org/0000-0001-6611-5896"},"institutions":[{"id":"https://openalex.org/I4210142730","display_name":"Centre Hospitalier de l\u2019Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0410a8y51","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I4210142730"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David Henault","raw_affiliation_strings":["Centre de Recherche du CHUM,Montreal, Quebec,Canada","Centre de Recherche du CHUM, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recherche du CHUM,Montreal, Quebec,Canada","institution_ids":["https://openalex.org/I4210142730"]},{"raw_affiliation_string":"Centre de Recherche du CHUM, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I4210142730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067469904","display_name":"Rolando Rebolledo","orcid":"https://orcid.org/0000-0003-3889-6511"},"institutions":[{"id":"https://openalex.org/I4210142730","display_name":"Centre Hospitalier de l\u2019Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0410a8y51","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I4210142730"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rolando Rebolledo","raw_affiliation_strings":["Centre de Recherche du CHUM,Montreal, Quebec,Canada","Centre de Recherche du CHUM, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recherche du CHUM,Montreal, Quebec,Canada","institution_ids":["https://openalex.org/I4210142730"]},{"raw_affiliation_string":"Centre de Recherche du CHUM, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I4210142730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080048068","display_name":"Simon Turcotte","orcid":"https://orcid.org/0000-0002-9003-812X"},"institutions":[{"id":"https://openalex.org/I4210142730","display_name":"Centre Hospitalier de l\u2019Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0410a8y51","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I4210142730"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Simon Turcotte","raw_affiliation_strings":["Centre de Recherche du CHUM,Montreal, Quebec,Canada","Centre de Recherche du CHUM, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recherche du CHUM,Montreal, Quebec,Canada","institution_ids":["https://openalex.org/I4210142730"]},{"raw_affiliation_string":"Centre de Recherche du CHUM, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I4210142730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039187492","display_name":"Samuel Kadoury","orcid":"https://orcid.org/0000-0002-3048-4291"},"institutions":[{"id":"https://openalex.org/I4210142730","display_name":"Centre Hospitalier de l\u2019Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0410a8y51","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I4210142730"]},{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samuel Kadoury","raw_affiliation_strings":["Polytechnique Montr&#x00E9;al,Montreal, Quebec,Canada","Centre de Recherche du CHUM, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnique Montr&#x00E9;al,Montreal, Quebec,Canada","institution_ids":["https://openalex.org/I45683168"]},{"raw_affiliation_string":"Centre de Recherche du CHUM, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I4210142730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10158","display_name":"Cancer Immunotherapy and Biomarkers","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10158","display_name":"Cancer Immunotherapy and Biomarkers","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11067","display_name":"Colorectal Cancer Treatments and Studies","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/colorectal-cancer","display_name":"Colorectal cancer","score":0.5221429467201233},{"id":"https://openalex.org/keywords/immune-system","display_name":"Immune system","score":0.4811778962612152},{"id":"https://openalex.org/keywords/major-histocompatibility-complex","display_name":"Major histocompatibility complex","score":0.45923173427581787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45241591334342957},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4401954710483551},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4226089119911194},{"id":"https://openalex.org/keywords/t-cell","display_name":"T cell","score":0.41959893703460693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4191967248916626},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3577202260494232},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3395991623401642},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.33671754598617554},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2728722095489502},{"id":"https://openalex.org/keywords/immunology","display_name":"Immunology","score":0.19682666659355164},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.19014430046081543}],"concepts":[{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.5221429467201233},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.4811778962612152},{"id":"https://openalex.org/C207936829","wikidata":"https://www.wikidata.org/wiki/Q423163","display_name":"Major histocompatibility complex","level":3,"score":0.45923173427581787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45241591334342957},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4401954710483551},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4226089119911194},{"id":"https://openalex.org/C2776090121","wikidata":"https://www.wikidata.org/wiki/Q193529","display_name":"T cell","level":3,"score":0.41959893703460693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4191967248916626},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3577202260494232},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3395991623401642},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.33671754598617554},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2728722095489502},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.19682666659355164},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.19014430046081543}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230665","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"},{"id":"pmh:oai:publications.polymtl.ca:56219","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/56219/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"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":"Communication de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2110929565","https://openalex.org/W2128739912","https://openalex.org/W2133650808","https://openalex.org/W2141269240","https://openalex.org/W2142300779","https://openalex.org/W2148143831","https://openalex.org/W2746549795","https://openalex.org/W2762561229","https://openalex.org/W2767128594","https://openalex.org/W2786052636","https://openalex.org/W2789758093","https://openalex.org/W2890571864","https://openalex.org/W2904068706","https://openalex.org/W2963789949","https://openalex.org/W2966987801","https://openalex.org/W3014144099","https://openalex.org/W3086514980","https://openalex.org/W3122230257","https://openalex.org/W3126647681","https://openalex.org/W3147739291","https://openalex.org/W3174086521","https://openalex.org/W4200287074","https://openalex.org/W4206398506"],"related_works":["https://openalex.org/W2374019147","https://openalex.org/W2370262613","https://openalex.org/W4362606997","https://openalex.org/W4361825250","https://openalex.org/W4377092742","https://openalex.org/W2015369371","https://openalex.org/W4229447658","https://openalex.org/W4386462333","https://openalex.org/W2375232943","https://openalex.org/W2363531932"],"abstract_inverted_index":{"Colorectal":[0],"cancer":[1],"liver":[2],"metastases":[3,12],"(CLM)":[4],"are":[5,18],"the":[6,15,76,145,161,178,198,202],"most":[7],"common":[8],"type":[9],"of":[10,39,115,151,163,200],"distant":[11],"originating":[13],"from":[14],"abdomen":[16],"and":[17,123,131,157,192],"characterized":[19],"by":[20],"a":[21,36,49,73,127,132,185],"high":[22,50],"recurrence":[23],"rate":[24],"after":[25],"curative":[26],"resection.":[27],"It":[28,166],"has":[29],"been":[30],"previously":[31],"reported":[32],"that":[33,177],"CLM":[34,74,117],"presenting":[35],"low":[37],"cluster":[38],"differentiation":[40],"3":[41],"(CD3)":[42],"positive":[43],"T-cell":[44],"infiltration":[45],"density":[46],"concurrent":[47],"with":[48,60,148,184],"major":[51],"histocompatibility":[52],"complex":[53],"class":[54],"I":[55],"(MHC-I)":[56],"expression":[57],"were":[58,118],"associated":[59,183],"poor":[61],"clinical":[62],"outcomes.":[63],"In":[64],"this":[65,92,121],"study,":[66],"we":[67,94],"attempt":[68],"to":[69],"noninvasively":[70],"predict":[71],"whether":[72],"exhibits":[75],"CD3":[77],"<sup":[78,82],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[79,83],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Low</sup>":[80],"MHC":[81],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">High</sup>":[84],"immunological":[85],"profile":[86,181],"using":[87,109],"preoperative":[88],"CT":[89],"images.":[90],"To":[91],"end,":[93],"propose":[95],"an":[96,149,158],"ensemble":[97],"network":[98],"combining":[99],"multiple":[100],"Attentive":[101],"Interpre":[102],"table":[103],"Tabular":[104],"learning":[105,172],"(TabNet)":[106],"models,":[107],"trained":[108],"CT-derived":[110],"radiomic":[111],"features.":[112],"A":[113],"total":[114],"160":[116],"included":[119],"in":[120],"study":[122],"randomly":[124],"divided":[125],"between":[126],"training":[128],"set":[129,135,147],"(n=130)":[130],"hold-out":[133],"test":[134,146],"(n=30).":[136],"The":[137],"proposed":[138],"model":[139],"yielded":[140],"good":[141],"prediction":[142],"performance":[143],"on":[144],"accuracy":[150],"70.0%":[152],"[95%":[153],"confidence":[154],"interval":[155],"53.6%-86.4%]":[156],"area":[159],"under":[160],"curve":[162],"69.4%":[164],"[52.9%-85.9%].":[165],"also":[167],"outperformed":[168],"other":[169],"off-the-shelf":[170],"machine":[171],"models.":[173],"We":[174],"finally":[175],"demonstrated":[176],"predicted":[179],"immune":[180,203],"was":[182],"shorter":[186],"disease-specific":[187],"survival":[188],"(p":[189,194],"=":[190,195],".023)":[191],"time-to-recurrence":[193],".020),":[196],"showing":[197],"value":[199],"assessing":[201],"response.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
