{"id":"https://openalex.org/W3093621556","doi":"https://doi.org/10.1109/access.2020.3030060","title":"Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage","display_name":"Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3093621556","doi":"https://doi.org/10.1109/access.2020.3030060","mag":"3093621556"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3030060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3030060","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09220136.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09220136.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070483964","display_name":"Liming Zhong","orcid":"https://orcid.org/0000-0002-0048-7838"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Zhong","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0048-7838","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626612","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0002-4703-8407"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]},{"id":"https://openalex.org/I4210105182","display_name":"Zhuhai People's Hospital","ror":"https://ror.org/01k1x3b35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105182"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","Zhuhai Precision Medical Center, Zhuhai People\u2019s Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China","Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0002-4703-8407","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]},{"raw_affiliation_string":"Zhuhai Precision Medical Center, Zhuhai People\u2019s Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China","institution_ids":["https://openalex.org/I4210105182","https://openalex.org/I159948400"]},{"raw_affiliation_string":"Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China","institution_ids":["https://openalex.org/I4210105182","https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054632387","display_name":"Yuhua Xi","orcid":"https://orcid.org/0000-0001-5435-0012"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Xi","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5435-0012","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961461","display_name":"Zhouyang Lian","orcid":"https://orcid.org/0000-0003-1782-5343"},"institutions":[{"id":"https://openalex.org/I4210145693","display_name":"Guangdong Academy of Medical Sciences","ror":"https://ror.org/0432p8t34","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145693"]},{"id":"https://openalex.org/I4210153930","display_name":"Guangdong Provincial People's Hospital","ror":"https://ror.org/045kpgw45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouyang Lian","raw_affiliation_strings":["Guangdong Provincial People\u2019s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China","Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1782-5343","affiliations":[{"raw_affiliation_string":"Guangdong Provincial People\u2019s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I4210145693","https://openalex.org/I4210153930"]},{"raw_affiliation_string":"Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I4210145693","https://openalex.org/I4210153930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772585","display_name":"Qianjin Feng","orcid":"https://orcid.org/0000-0001-8647-0596"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianjin Feng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8647-0596","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089411715","display_name":"Wufan Chen","orcid":"https://orcid.org/0000-0002-4125-7537"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wufan Chen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4125-7537","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000503591","display_name":"Shuixing Zhang","orcid":"https://orcid.org/0000-0001-7377-382X"},"institutions":[{"id":"https://openalex.org/I4210162753","display_name":"First Affiliated Hospital of Jinan University","ror":"https://ror.org/05d5vvz89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210162753"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuixing Zhang","raw_affiliation_strings":["The First Affiliated Hospital of Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7377-382X","affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I4210162753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044127793","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0002-2161-3231"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2161-3231","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6788,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70306389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"184710","last_page":"184721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10307","display_name":"Head and Neck Cancer Studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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/T10307","display_name":"Head and Neck Cancer Studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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":0.9958999752998352,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5537529587745667},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5417590141296387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4816245436668396},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45186737179756165},{"id":"https://openalex.org/keywords/white-matter","display_name":"White matter","score":0.4421159029006958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43904730677604675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4057561457157135},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.32918745279312134},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.2814393639564514},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.27407902479171753}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5537529587745667},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5417590141296387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4816245436668396},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45186737179756165},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.4421159029006958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43904730677604675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4057561457157135},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32918745279312134},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2814393639564514},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.27407902479171753},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3030060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3030060","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09220136.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1779a12fa9ca468f82473c32e187dc41","is_oa":true,"landing_page_url":"https://doaj.org/article/1779a12fa9ca468f82473c32e187dc41","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 184710-184721 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3030060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3030060","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09220136.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4300000071525574,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G4604442440","display_name":null,"funder_award_id":"2014B030301042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7634781839","display_name":null,"funder_award_id":"81771916","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093621556.pdf","grobid_xml":"https://content.openalex.org/works/W3093621556.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1457602677","https://openalex.org/W1536680647","https://openalex.org/W1540007258","https://openalex.org/W1573342637","https://openalex.org/W1686810756","https://openalex.org/W1757407923","https://openalex.org/W1799366690","https://openalex.org/W1835102192","https://openalex.org/W1975276783","https://openalex.org/W1980268487","https://openalex.org/W1986643265","https://openalex.org/W2009539730","https://openalex.org/W2014418634","https://openalex.org/W2018136225","https://openalex.org/W2020824748","https://openalex.org/W2035824427","https://openalex.org/W2054540100","https://openalex.org/W2056763477","https://openalex.org/W2061520589","https://openalex.org/W2086168419","https://openalex.org/W2087964262","https://openalex.org/W2089468765","https://openalex.org/W2099698084","https://openalex.org/W2103004421","https://openalex.org/W2103038618","https://openalex.org/W2109255472","https://openalex.org/W2111834844","https://openalex.org/W2117340355","https://openalex.org/W2123649031","https://openalex.org/W2126326837","https://openalex.org/W2126598020","https://openalex.org/W2127890285","https://openalex.org/W2128739912","https://openalex.org/W2130371234","https://openalex.org/W2146376732","https://openalex.org/W2154158661","https://openalex.org/W2169767145","https://openalex.org/W2183341477","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2522079777","https://openalex.org/W2531409750","https://openalex.org/W2548197316","https://openalex.org/W2574038793","https://openalex.org/W2591992783","https://openalex.org/W2606546398","https://openalex.org/W2765734026","https://openalex.org/W2788633781","https://openalex.org/W2789534470","https://openalex.org/W2797463641","https://openalex.org/W2905098610","https://openalex.org/W2919115771","https://openalex.org/W2960247912","https://openalex.org/W2963446712","https://openalex.org/W2996024270","https://openalex.org/W2996945752","https://openalex.org/W2997339445","https://openalex.org/W3006079769","https://openalex.org/W3098168069","https://openalex.org/W4210983491","https://openalex.org/W4254677276","https://openalex.org/W6610017368","https://openalex.org/W6637373629","https://openalex.org/W6638444622"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Temporal":[0],"lobe":[1],"injury":[2],"(TLI),":[3],"a":[4,14,38,87,136],"form":[5],"of":[6,28,58,78,83,93,105,113,121,139,170,176,198,214,216,235,273],"nervous":[7],"system":[8],"damage":[9],"in":[10],"the":[11,29,51,56,99,110,122,158,167,171,177,233,236,265,271],"brain,":[12],"is":[13],"major":[15],"neurological":[16,275],"complication":[17],"after":[18,133],"radiation":[19],"therapy":[20],"(RT).":[21],"TLI":[22,49,263],"must":[23],"be":[24],"highly":[25,95],"valued":[26],"because":[27],"irreversible":[30],"brain":[31],"injury.":[32],"This":[33],"article":[34],"aims":[35],"to":[36,47,165],"develop":[37],"predictive":[39],"pipeline,":[40],"called":[41],"deep":[42,60,84,106],"longitudinal":[43,61,107],"feature":[44,62],"representations":[45],"(DLFR),":[46],"detect":[48,262],"at":[50,264],"presymptomatic":[52,266],"stage":[53],"accurately":[54],"via":[55],"learning":[57],"effective":[59],"representations.":[63],"DLFR":[64,76,184],"characterizes":[65],"high-level":[66],"information":[67],"and":[68,72,132,157,192,208,212,227,253],"developmental":[69],"changes":[70],"within":[71],"across":[73],"subjects":[74],"The":[75,174],"consists":[77],"four":[79,153],"components:":[80],"(i)":[81],"extraction":[82],"features":[85,97,108,200,219],"from":[86],"pretrained":[88],"ResNet50":[89],"model;":[90],"(ii)":[91],"compression":[92],"learned":[94],"representative":[96],"by":[98],"global":[100],"max":[101],"pooling;":[102],"(iii)":[103],"fusion":[104],"for":[109,146,163,242],"fully":[111],"use":[112],"all":[114],"follow-up":[115,137],"data;":[116],"(iv)":[117],"random":[118],"forest-based":[119],"prediction":[120],"diagnostic":[123,168],"status.":[124],"In":[125],"total,":[126],"244":[127],"nasopharyngeal":[128],"carcinoma":[129],"patients":[130,149],"before":[131],"RT":[134],"with":[135],"period":[138],"0":[140],"~":[141],"9":[142],"years":[143],"were":[144,150,185,201,220,246],"included":[145],"analysis.":[147],"All":[148],"divided":[151],"into":[152],"different":[154,180,239],"latency":[155,160,181,240],"groups,":[156],"current":[159],"was":[161],"used":[162],"training":[164],"predict":[166],"status":[169],"next":[172],"latency.":[173],"AUCs":[175,234],"predicted":[178,237],"three":[179,238],"groups":[182,241],"using":[183],"0.64":[186],"\u00b1":[187,190,194,203,206,210,222,225,229,248,251,255],"0.11,":[188],"0.76":[189],"0.10,":[191,249],"0.88":[193],"0.05,":[195],"while":[196],"those":[197,213],"radiomics":[199],"0.56":[202],"0.06,":[204],"0.63":[205],"0.03,":[207,226],"0.53":[209],"0.04,":[211],"histogram":[215],"oriented":[217],"gradients":[218],"0.60":[221],"0.09,":[223,252],"0.52":[224],"0.58":[228],"0.06.":[230],"Most":[231],"importantly,":[232],"white":[243],"matter":[244],"regions":[245],"0.66":[247],"0.80":[250],"0.78":[254],"0.09.":[256],"Our":[257],"proposed":[258],"method":[259],"can":[260,269],"dynamically":[261],"stage,":[267],"which":[268],"enable":[270],"administration":[272],"preventive":[274],"intervention.":[276]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
