{"id":"https://openalex.org/W2888844929","doi":"https://doi.org/10.1109/isbi.2019.8759499","title":"Image-Based Survival Prediction for Lung Cancer Patients Using CNNS","display_name":"Image-Based Survival Prediction for Lung Cancer Patients Using CNNS","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2888844929","doi":"https://doi.org/10.1109/isbi.2019.8759499","mag":"2888844929"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2019.8759499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1808.09679","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Christoph Haarburger","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Haarburger","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Philippe Weitz","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philippe Weitz","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Oliver Rippel","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Rippel","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dorit Merhof","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dorit Merhof","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1197","last_page":"1201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":1.0,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9957000017166138,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6518999934196472},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5939000248908997},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.5652999877929688},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5636000037193298},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.5220999717712402},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.508400022983551},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.44269999861717224},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41990000009536743}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6518999934196472},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5939000248908997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5813999772071838},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.5652999877929688},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5636000037193298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5590000152587891},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.508400022983551},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.44269999861717224},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41370001435279846},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3928000032901764},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2856999933719635},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C2776283816","wikidata":"https://www.wikidata.org/wiki/Q332823","display_name":"Survival rate","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C207103383","wikidata":"https://www.wikidata.org/wiki/Q3930246","display_name":"Hazard ratio","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26100000739097595},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2606000006198883},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.25999999046325684},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.258899986743927}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2019.8759499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1808.09679","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.09679","pdf_url":"https://arxiv.org/pdf/1808.09679","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:1808.09679","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.09679","pdf_url":"https://arxiv.org/pdf/1808.09679","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2103004421","https://openalex.org/W2115709314","https://openalex.org/W2194775991","https://openalex.org/W2464708700","https://openalex.org/W2571620227","https://openalex.org/W2592929672","https://openalex.org/W2620349183","https://openalex.org/W2745940724","https://openalex.org/W2751538714","https://openalex.org/W2752879928","https://openalex.org/W2761033249","https://openalex.org/W2767128594","https://openalex.org/W2791585271","https://openalex.org/W2890655214","https://openalex.org/W3147894994","https://openalex.org/W6977944434"],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"survival":[1,37,112,132,136,153],"models":[2],"such":[3],"as":[4,156],"the":[5,20,73,91,109,168,172],"Cox":[6],"proportional":[7],"hazards":[8],"model":[9,85],"are":[10,115],"typically":[11],"based":[12,47],"on":[13,48,90,108,178],"scalar":[14],"or":[15],"categorical":[16],"clinical":[17],"features.":[18],"With":[19],"advent":[21],"of":[22,43,55,97,171],"increasingly":[23],"large":[24,121],"image":[25,34,99],"datasets,":[26],"it":[27,68],"has":[28],"become":[29],"feasible":[30],"to":[31,71,134],"incorporate":[32],"quantitative":[33],"features":[35,56,150],"into":[36,102],"prediction.":[38],"So":[39],"far,":[40],"this":[41,125],"kind":[42],"analysis":[44,133],"is":[45,58,69,87],"mostly":[46],"radiomics":[49],"features,":[50],"i.e.":[51],"a":[52,61,179],"fixed":[53],"set":[54],"that":[57,119,129,151],"mathematically":[59],"defined":[60],"priori.":[62],"To":[63],"capture":[64],"highly":[65],"abstract":[66],"information,":[67],"desirable":[70],"learn":[72,149],"feature":[74],"extraction":[75],"using":[76],"convolutional":[77,138],"neural":[78,139],"networks.":[79,160],"However,":[80],"for":[81],"tomographic":[82],"medical":[83],"images,":[84],"training":[86],"difficult":[88],"because":[89],"one":[92,103],"hand,":[93,111],"only":[94],"few":[95],"samples":[96],"3D":[98],"data":[100],"fit":[101],"batch":[104,122,146],"at":[105],"once":[106],"and":[107,148],"other":[110],"loss":[113],"functions":[114],"essentially":[116],"ordering":[117],"measures":[118],"require":[120],"sizes.":[123],"In":[124],"work,":[126],"we":[127],"show":[128],"by":[130],"simplifying":[131],"median":[135],"classification,":[137],"networks":[140],"can":[141],"be":[142],"trained":[143],"with":[144],"small":[145],"sizes":[147],"predict":[152],"equally":[154],"well":[155],"end-to-end":[157],"hazard":[158],"prediction":[159],"Our":[161],"approach":[162],"outperforms":[163],"(mean":[164,174],"c-index":[165,175],"=":[166,176],"0.623)":[167],"previous":[169],"state":[170],"art":[173],"0.609)":[177],"publicly":[180],"available":[181],"lung":[182],"cancer":[183],"dataset.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2018-09-07T00:00:00"}
