{"id":"https://openalex.org/W4386352673","doi":"https://doi.org/10.1109/isbi53787.2023.10230413","title":"Sulcal Pattern Matching with the Wasserstein Distance","display_name":"Sulcal Pattern Matching with the Wasserstein Distance","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386352673","doi":"https://doi.org/10.1109/isbi53787.2023.10230413"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230413","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th 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/A5100603240","display_name":"Zijian Chen","orcid":"https://orcid.org/0000-0002-1256-8264"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zijian Chen","raw_affiliation_strings":["University of Wisconsin,Madison,USA","University of Wisconsin, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Madison,USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101921227","display_name":"S.R. Das","orcid":"https://orcid.org/0000-0002-0668-1981"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumya Das","raw_affiliation_strings":["University of Wisconsin,Madison,USA","University of Wisconsin, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Madison,USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029674397","display_name":"Moo K. Chung","orcid":"https://orcid.org/0000-0003-2852-9670"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moo K. Chung","raw_affiliation_strings":["University of Wisconsin,Madison,USA","University of Wisconsin, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Madison,USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100603240"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2867548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9997000098228455,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9997000098228455,"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/T12417","display_name":"Morphological variations and asymmetry","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/matching","display_name":"Matching (statistics)","score":0.7047039866447449},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6196396350860596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6121047735214233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5992323160171509},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5578582286834717},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.5403381586074829},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.5184166431427002},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4912797808647156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46705877780914307},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43673253059387207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3333578407764435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26992058753967285},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22938713431358337},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.062244415283203125}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7047039866447449},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6196396350860596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6121047735214233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5992323160171509},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5578582286834717},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.5403381586074829},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.5184166431427002},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4912797808647156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46705877780914307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43673253059387207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3333578407764435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26992058753967285},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22938713431358337},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.062244415283203125}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230413","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1977131470","https://openalex.org/W1983208069","https://openalex.org/W1985506636","https://openalex.org/W1996317444","https://openalex.org/W2001050163","https://openalex.org/W2020519533","https://openalex.org/W2040104067","https://openalex.org/W2052644075","https://openalex.org/W2096672020","https://openalex.org/W2108642789","https://openalex.org/W2128480875","https://openalex.org/W2141461755","https://openalex.org/W2154281919","https://openalex.org/W2292026763","https://openalex.org/W2420237017","https://openalex.org/W2735418187","https://openalex.org/W2779586557","https://openalex.org/W2794888939","https://openalex.org/W2963006832","https://openalex.org/W2979306584","https://openalex.org/W2998957818","https://openalex.org/W3080851077","https://openalex.org/W4206471589","https://openalex.org/W6696728724"],"related_works":["https://openalex.org/W2943461603","https://openalex.org/W3210429500","https://openalex.org/W3217252310","https://openalex.org/W4286894112","https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2372581239","https://openalex.org/W2107893065","https://openalex.org/W2617958085","https://openalex.org/W1509862229"],"abstract_inverted_index":{"We":[0,44,61],"present":[1],"the":[2,8,16,27,39,47,52,58,64,74],"unified":[3],"computational":[4],"framework":[5],"for":[6,56],"modeling":[7],"sulcal":[9,28,80],"patterns":[10,29,32],"of":[11],"human":[12],"brain":[13],"obtained":[14],"from":[15],"magnetic":[17],"resonance":[18],"images.":[19],"The":[20],"Wasserstein":[21],"distance":[22],"is":[23,70],"used":[24],"to":[25],"align":[26],"nonlinearly.":[30],"These":[31],"are":[33],"topologically":[34],"different":[35],"across":[36],"subjects":[37],"making":[38],"pattern":[40],"matching":[41],"a":[42],"challenge.":[43],"work":[45],"out":[46],"mathematical":[48],"details":[49],"and":[50,78],"develop":[51],"gradient":[53],"descent":[54],"algorithms":[55],"estimating":[57],"deformation":[59],"field.":[60],"further":[62],"quantify":[63],"image":[65],"registration":[66],"performance.":[67],"This":[68],"method":[69],"applied":[71],"in":[72],"identifying":[73],"differences":[75],"between":[76],"male":[77],"female":[79],"patterns.":[81]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}