{"id":"https://openalex.org/W4410295153","doi":"https://doi.org/10.1109/isbi60581.2025.10981164","title":"KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity","display_name":"KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410295153","doi":"https://doi.org/10.1109/isbi60581.2025.10981164"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10981164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","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/A5068633300","display_name":"Zhifan Jiang","orcid":"https://orcid.org/0000-0001-5713-1675"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhifan Jiang","raw_affiliation_strings":["Children's National Hospital,Washington,DC,USA"],"affiliations":[{"raw_affiliation_string":"Children's National Hospital,Washington,DC,USA","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042877366","display_name":"Vishwesh Nath","orcid":"https://orcid.org/0000-0002-6840-6205"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishwesh Nath","raw_affiliation_strings":["Nvidia Corporation,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"Nvidia Corporation,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043710204","display_name":"Holger R. Roth","orcid":"https://orcid.org/0000-0002-3662-8743"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Holger R. Roth","raw_affiliation_strings":["Nvidia Corporation,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"Nvidia Corporation,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089319608","display_name":"Abhijeet Parida","orcid":"https://orcid.org/0000-0002-4978-0576"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhijeet Parida","raw_affiliation_strings":["Children's National Hospital,Washington,DC,USA"],"affiliations":[{"raw_affiliation_string":"Children's National Hospital,Washington,DC,USA","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022692329","display_name":"Nicholas K. Foreman","orcid":"https://orcid.org/0000-0003-4848-4801"},"institutions":[{"id":"https://openalex.org/I921990950","display_name":"University of Colorado Denver","ror":"https://ror.org/02hh7en24","country_code":"US","type":"education","lineage":["https://openalex.org/I921990950"]},{"id":"https://openalex.org/I4210096275","display_name":"Children's Hospital Colorado","ror":"https://ror.org/00mj9k629","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210096275"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Foreman","raw_affiliation_strings":["Children's Hospital Colorado,Aurora,CO,USA"],"affiliations":[{"raw_affiliation_string":"Children's Hospital Colorado,Aurora,CO,USA","institution_ids":["https://openalex.org/I4210096275","https://openalex.org/I921990950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002191021","display_name":"Michael J. Fisher","orcid":"https://orcid.org/0000-0003-3408-3839"},"institutions":[{"id":"https://openalex.org/I1335321130","display_name":"Children's Hospital of Philadelphia","ror":"https://ror.org/01z7r7q48","country_code":"US","type":"funder","lineage":["https://openalex.org/I1335321130"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J. Fisher","raw_affiliation_strings":["Children's Hospital of Philadelphia,Philadelphia,PA,USA"],"affiliations":[{"raw_affiliation_string":"Children's Hospital of Philadelphia,Philadelphia,PA,USA","institution_ids":["https://openalex.org/I1335321130"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025567999","display_name":"Roger J. Packer","orcid":"https://orcid.org/0000-0001-9413-7531"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger J. Packer","raw_affiliation_strings":["Children's National Hospital,Washington,DC,USA"],"affiliations":[{"raw_affiliation_string":"Children's National Hospital,Washington,DC,USA","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073762312","display_name":"Syed Muhammad Anwar","orcid":null},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Syed Muhammad Anwar","raw_affiliation_strings":["Children's National Hospital,Washington,DC,USA"],"affiliations":[{"raw_affiliation_string":"Children's National Hospital,Washington,DC,USA","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030273817","display_name":"Robert A. Avery","orcid":"https://orcid.org/0000-0003-1453-7282"},"institutions":[{"id":"https://openalex.org/I1335321130","display_name":"Children's Hospital of Philadelphia","ror":"https://ror.org/01z7r7q48","country_code":"US","type":"funder","lineage":["https://openalex.org/I1335321130"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert A. Avery","raw_affiliation_strings":["Children's Hospital of Philadelphia,Philadelphia,PA,USA"],"affiliations":[{"raw_affiliation_string":"Children's Hospital of Philadelphia,Philadelphia,PA,USA","institution_ids":["https://openalex.org/I1335321130"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085732379","display_name":"Marius George Linguraru","orcid":"https://orcid.org/0000-0001-6175-8665"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marius George Linguraru","raw_affiliation_strings":["Children's National Hospital,Washington,DC,USA"],"affiliations":[{"raw_affiliation_string":"Children's National Hospital,Washington,DC,USA","institution_ids":["https://openalex.org/I1336742384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5068633300"],"corresponding_institution_ids":["https://openalex.org/I1336742384"],"apc_list":null,"apc_paid":null,"fwci":1.319,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80348068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9883999824523926,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9883999824523926,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9710999727249146,"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/T10862","display_name":"AI in cancer detection","score":0.9513000249862671,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7205635905265808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6614549160003662},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6042689085006714},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5932079553604126},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5069168210029602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4971671402454376},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44297346472740173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3890395760536194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205635905265808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6614549160003662},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6042689085006714},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5932079553604126},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5069168210029602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4971671402454376},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44297346472740173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3890395760536194}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10981164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G289790755","display_name":null,"funder_award_id":"W81XWH1910376","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2026752633","https://openalex.org/W2133665775","https://openalex.org/W2798820905","https://openalex.org/W2887976372","https://openalex.org/W2963046541","https://openalex.org/W2964059111","https://openalex.org/W3117626355","https://openalex.org/W3159676894","https://openalex.org/W3172681723","https://openalex.org/W3173017111","https://openalex.org/W3175794661","https://openalex.org/W3204350217","https://openalex.org/W3213789880","https://openalex.org/W3214423317","https://openalex.org/W4206723194","https://openalex.org/W4212875960","https://openalex.org/W4296120661","https://openalex.org/W4312428231","https://openalex.org/W4389543157","https://openalex.org/W6735374517","https://openalex.org/W6747231328","https://openalex.org/W6756072047","https://openalex.org/W6759274242"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W4379231730","https://openalex.org/W2012019886","https://openalex.org/W4389858081","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Limited":[0],"labeled":[1,44,61],"data":[2,45],"could":[3],"compromise":[4],"the":[5,41,55,63,79,91,101,122,154,157,176],"robustness":[6],"of":[7,43,65,81,139,156],"segmentation":[8,18,80,96,155,184],"models":[9],"trained":[10],"on":[11,105,136],"medical":[12,15,83,140],"images.":[13,84],"In":[14],"imaging,":[16],"manual":[17],"is":[19,30,35,134],"time-consuming":[20],"and":[21,115,145,161,169],"financially":[22],"costly":[23],"since":[24],"expert":[25],"human":[26],"labor":[27],"(radiologist":[28],"etc.)":[29],"required.":[31],"Active":[32],"learning":[33],"(AL)":[34],"a":[36,49,72,87,95,106,127],"promising":[37],"approach":[38],"to":[39,47,59,94,199],"reduce":[40],"amount":[42],"required":[46],"train":[48],"model":[50,97],"by":[51,100,125],"iteratively":[52],"selecting":[53],"only":[54],"most":[56],"beneficial":[57],"instances":[58],"be":[60],"from":[62,142],"pool":[64,124],"unlabeled":[66,123,203],"data.":[67,204],"Towards":[68],"this,":[69],"we":[70],"propose":[71],"novel":[73],"AL":[74,178],"query":[75],"paradigm":[76],"designed":[77],"for":[78,117,153,167],"3D":[82],"We":[85],"use":[86],"selector":[88,110],"which":[89],"incorporates":[90],"knowledge":[92],"related":[93],"performance":[98,185],"measured":[99],"Dice":[102],"similarity":[103,130],"coefficient":[104],"validation":[107,113],"dataset.":[108],"The":[109,132],"identifies":[111],"failed":[112],"cases":[114,120],"searches":[116],"potentially":[118],"unsuccessful":[119],"in":[121],"maximizing":[126],"localized":[128],"image":[129],"metric.":[131],"method":[133],"evaluated":[135],"two":[137],"datasets":[138],"images":[141,152],"multiple":[143],"sites":[144],"modalities:":[146],"479":[147],"pediatric":[148],"brain":[149],"magnetic":[150],"resonance":[151],"anterior":[158],"visual":[159],"pathway":[160],"131":[162],"contrast-enhanced":[163],"computed":[164],"tomography":[165],"scans":[166],"liver":[168],"tumor":[170],"segmentation.":[171],"Our":[172],"results":[173],"demonstrate":[174],"that":[175],"proposed":[177],"strategy":[179],"achieves":[180],"similar":[181],"or":[182],"better":[183],"than":[186],"established":[187],"but":[188],"computationally":[189],"more":[190],"complex":[191],"uncertainty":[192],"sampling":[193],"methods,":[194],"while":[195],"showcasing":[196],"its":[197],"potential":[198],"efficiently":[200],"select":[201],"optimal":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}