{"id":"https://openalex.org/W3164617602","doi":"https://doi.org/10.1109/isbi48211.2021.9434085","title":"Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation","display_name":"Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3164617602","doi":"https://doi.org/10.1109/isbi48211.2021.9434085","mag":"3164617602"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9434085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th 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/A5100438471","display_name":"Hang Zhang","orcid":"https://orcid.org/0000-0003-0115-387X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Zhang","raw_affiliation_strings":["Cornell University","Weill Cornell Medical College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Weill Cornell Medical College","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392709","display_name":"Jinwei Zhang","orcid":"https://orcid.org/0000-0002-5772-5374"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinwei Zhang","raw_affiliation_strings":["Cornell University","Weill Cornell Medical College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Weill Cornell Medical College","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102711891","display_name":"Rongguang Wang","orcid":"https://orcid.org/0000-0001-8783-9252"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rongguang Wang","raw_affiliation_strings":["University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103072858","display_name":"Qihao Zhang","orcid":"https://orcid.org/0000-0002-8054-5849"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qihao Zhang","raw_affiliation_strings":["Cornell University","Weill Cornell Medical College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Weill Cornell Medical College","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050704727","display_name":"Susan A. Gauthier","orcid":"https://orcid.org/0000-0002-4015-1781"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susan A. Gauthier","raw_affiliation_strings":["Weill Cornell Medical College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weill Cornell Medical College","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090143609","display_name":"Pascal Spincemaille","orcid":"https://orcid.org/0000-0002-8821-1341"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pascal Spincemaille","raw_affiliation_strings":["Weill Cornell Medical College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weill Cornell Medical College","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101512779","display_name":"Thanh D. Nguyen","orcid":"https://orcid.org/0000-0002-1411-7694"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thanh D. Nguyen","raw_affiliation_strings":["Weill Cornell Medical College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weill Cornell Medical College","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100765501","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0003-1404-8526"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["Cornell University","Weill Cornell Medical College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Weill Cornell Medical College","institution_ids":["https://openalex.org/I205783295"]}]}],"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":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9776999950408936,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9776999950408936,"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"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9735999703407288,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7471504807472229},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6389802694320679},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6075324416160583},{"id":"https://openalex.org/keywords/multiple-sclerosis","display_name":"Multiple sclerosis","score":0.5978600978851318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5977010130882263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5974842309951782},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.46311038732528687},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4621385633945465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4565117359161377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33319127559661865},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1418706774711609}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7471504807472229},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6389802694320679},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6075324416160583},{"id":"https://openalex.org/C2780640218","wikidata":"https://www.wikidata.org/wiki/Q8277","display_name":"Multiple sclerosis","level":2,"score":0.5978600978851318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5977010130882263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5974842309951782},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.46311038732528687},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4621385633945465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4565117359161377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33319127559661865},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1418706774711609},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi48211.2021.9434085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2006096283","https://openalex.org/W2020568554","https://openalex.org/W2102848905","https://openalex.org/W2464708700","https://openalex.org/W2892300271","https://openalex.org/W2900299818","https://openalex.org/W2903617078","https://openalex.org/W2962731543","https://openalex.org/W2963803174","https://openalex.org/W2964121744","https://openalex.org/W2966434031","https://openalex.org/W2970971581","https://openalex.org/W2979340752","https://openalex.org/W2979668774","https://openalex.org/W2998663558","https://openalex.org/W3004618854","https://openalex.org/W3008060450","https://openalex.org/W3085856167","https://openalex.org/W3094183857","https://openalex.org/W4295312788","https://openalex.org/W6631190155","https://openalex.org/W6762000186","https://openalex.org/W6766318054","https://openalex.org/W6766978945","https://openalex.org/W6768387861","https://openalex.org/W6771009508","https://openalex.org/W6783241401"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Multiple":[0],"sclerosis":[1],"(MS)":[2],"lesions":[3],"occupy":[4],"a":[5,24,36],"small":[6],"fraction":[7],"of":[8,51,83,111],"the":[9,43,48,67,109],"brain":[10],"volume,":[11],"and":[12,20,46,59,72,79,106],"are":[13],"heterogeneous":[14],"with":[15,66,101],"regards":[16],"to":[17,41,86,116],"shape,":[18],"size":[19],"locations,":[21],"which":[22],"poses":[23],"great":[25],"challenge":[26],"for":[27],"training":[28],"deep":[29,91],"learning":[30],"based":[31],"segmentation":[32,92],"models.":[33,93],"We":[34,54,69],"proposed":[35,113],"new":[37],"geometric":[38,49,81],"loss":[39,61,75],"formula":[40],"address":[42],"data":[44],"imbalance":[45],"exploit":[47],"property":[50],"MS":[52,98],"lesions.":[53],"showed":[55],"that":[56],"traditional":[57],"region-based":[58],"boundary-aware":[60],"functions":[62,76],"can":[63],"be":[64],"associated":[65],"formula.":[68],"further":[70],"develop":[71],"instantiate":[73],"two":[74,97],"containing":[77],"first-":[78],"second-order":[80],"information":[82],"lesion":[84,99],"regions":[85],"enforce":[87],"regularization":[88],"on":[89,96],"optimizing":[90],"Experimental":[94],"results":[95],"datasets":[100],"different":[102],"scales,":[103],"acquisition":[104],"protocols":[105],"resolutions":[107],"demonstrated":[108],"superiority":[110],"our":[112],"methods":[114],"compared":[115],"other":[117],"state-of-the-art":[118],"methods.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
