{"id":"https://openalex.org/W4362663708","doi":"https://doi.org/10.1117/12.2655270","title":"Universal lymph node detection in multiparametric MRI with selective augmentation","display_name":"Universal lymph node detection in multiparametric MRI with selective augmentation","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362663708","doi":"https://doi.org/10.1117/12.2655270"},"language":"en","primary_location":{"id":"doi:10.1117/12.2655270","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2655270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Computer-Aided Diagnosis","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12306817","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048201234","display_name":"Tejas Sudharshan Mathai","orcid":"https://orcid.org/0009-0005-8440-1702"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tejas Sudharshan Mathai","raw_affiliation_strings":["National Institutes of Health (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institutes of Health (United States)","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713643","display_name":"Sungwon Lee","orcid":"https://orcid.org/0000-0002-1684-2996"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungwon Lee","raw_affiliation_strings":["National Institutes of Health (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institutes of Health (United States)","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069484084","display_name":"Thomas C. Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas C. Shen","raw_affiliation_strings":["National Institutes of Health (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institutes of Health (United States)","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028920448","display_name":"Zhiyong Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyong Lu","raw_affiliation_strings":["National Institutes of Health (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institutes of Health (United States)","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016047550","display_name":"Ronald M. Summers","orcid":"https://orcid.org/0000-0001-8081-7376"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald M. Summers","raw_affiliation_strings":["National Institutes of Health (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institutes of Health (United States)","institution_ids":["https://openalex.org/I1299303238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1299303238"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03307004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":null,"first_page":"47","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9987000226974487,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9987000226974487,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9930999875068665,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9905999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6278266906738281},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5820881128311157},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5117475986480713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48701125383377075},{"id":"https://openalex.org/keywords/lymph-node","display_name":"Lymph node","score":0.4729934632778168},{"id":"https://openalex.org/keywords/lymph","display_name":"Lymph","score":0.456143856048584},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4267333149909973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35969752073287964},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.16060861945152283}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6278266906738281},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5820881128311157},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5117475986480713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48701125383377075},{"id":"https://openalex.org/C2780849966","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node","level":2,"score":0.4729934632778168},{"id":"https://openalex.org/C2779720271","wikidata":"https://www.wikidata.org/wiki/Q179422","display_name":"Lymph","level":2,"score":0.456143856048584},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4267333149909973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35969752073287964},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.16060861945152283},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2655270","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2655270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Computer-Aided Diagnosis","raw_type":"proceedings-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12306817","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12306817","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ArXiv","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:12306817","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12306817","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ArXiv","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1869157108","https://openalex.org/W2117340355","https://openalex.org/W2248137466","https://openalex.org/W2524449277","https://openalex.org/W2559655401","https://openalex.org/W2883196607","https://openalex.org/W2989949509","https://openalex.org/W3009268531","https://openalex.org/W3033492597","https://openalex.org/W3035396860","https://openalex.org/W3101353398","https://openalex.org/W3127743092","https://openalex.org/W3168285075","https://openalex.org/W4206370803","https://openalex.org/W4221091790","https://openalex.org/W4249009392","https://openalex.org/W4288325606","https://openalex.org/W4308256037","https://openalex.org/W6620707391","https://openalex.org/W6639297509","https://openalex.org/W6745136726","https://openalex.org/W6764322716","https://openalex.org/W6782744377","https://openalex.org/W6809924826","https://openalex.org/W6811115508"],"related_works":["https://openalex.org/W2008553569","https://openalex.org/W4361257721","https://openalex.org/W203485574","https://openalex.org/W1966798989","https://openalex.org/W2020142317","https://openalex.org/W1973402430","https://openalex.org/W4361237345","https://openalex.org/W2079912968","https://openalex.org/W2032187574","https://openalex.org/W2406121188"],"abstract_inverted_index":{"Robust":[0],"localization":[1],"of":[2,15,22,46,123,163,188],"lymph":[3],"nodes":[4,87],"(LNs)":[5],"in":[6,48,88,106],"multiparametric":[7],"MRI":[8],"(mpMRI)":[9],"is":[10,37],"critical":[11],"for":[12,91],"the":[13,20,43,89,140,144,156],"assessment":[14],"lymphadenopathy.":[16],"Radiologists":[17],"routinely":[18],"measure":[19],"size":[21],"LN":[23,105,177],"to":[24,80,103,138],"distinguish":[25],"benign":[26,84],"from":[27],"malignant":[28],"nodes,":[29],"which":[30,50],"would":[31],"require":[32],"subsequent":[33],"cancer":[34],"staging.":[35],"Sizing":[36],"a":[38,65,78,121,129,161,185],"cumbersome":[39],"task":[40],"compounded":[41],"by":[42,117],"diverse":[44],"appearances":[45],"LNs":[47,60],"mpMRI,":[49,182],"renders":[51],"their":[52,92],"measurement":[53],"difficult.":[54],"Furthermore,":[55],"smaller":[56],"and":[57,73,85,110],"potentially":[58],"metastatic":[59,86],"could":[61],"be":[62],"missed":[63],"during":[64,147,155],"busy":[66],"clinical":[67],"day.":[68],"To":[69],"alleviate":[70],"these":[71],"imaging":[72,113],"workflow":[74],"problems,":[75],"we":[76,183],"propose":[77],"pipeline":[79],"universally":[81],"detect":[82],"both":[83],"body":[90],"ensuing":[93],"measurement.":[94],"The":[95],"recently":[96],"proposed":[97],"VFNet":[98],"neural":[99],"network":[100],"was":[101],"employed":[102],"identify":[104],"T2":[107],"fat":[108],"suppressed":[109],"diffusion":[111],"weighted":[112],"(DWI)":[114],"sequences":[115],"acquired":[116],"various":[118],"scanners":[119],"with":[120,165,175],"variety":[122],"exam":[124],"protocols.":[125],"We":[126,159],"also":[127],"use":[128],"selective":[130],"augmentation":[131],"technique":[132],"known":[133],"as":[134],"Intra-Label":[135],"LISA":[136],"(ILL)":[137],"diversify":[139],"input":[141],"data":[142],"samples":[143],"model":[145],"sees":[146],"training,":[148],"such":[149],"that":[150],"it":[151],"improves":[152],"its":[153],"robustness":[154],"evaluation":[157],"phase.":[158],"achieved":[160],"sensitivity":[162,186],"\u223c83%":[164],"ILL":[166,170],"vs.":[167],"\u223c80%":[168],"without":[169],"at":[171,190],"4":[172,191],"FP/vol.":[173,192],"Compared":[174],"current":[176],"detection":[178],"approaches":[179],"evaluated":[180],"on":[181],"show":[184],"improvement":[187],"\u223c9%":[189]},"counts_by_year":[],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}