{"id":"https://openalex.org/W4401749236","doi":"https://doi.org/10.1109/isbi56570.2024.10635106","title":"Introducing Edge-Wise Graph Signal Processing: Application to Connectome Fingerprinting","display_name":"Introducing Edge-Wise Graph Signal Processing: Application to Connectome Fingerprinting","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401749236","doi":"https://doi.org/10.1109/isbi56570.2024.10635106"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635106","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 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/A5029740841","display_name":"Thomas A. W. Bolton","orcid":"https://orcid.org/0000-0002-2081-4031"},"institutions":[{"id":"https://openalex.org/I97565354","display_name":"University of Lausanne","ror":"https://ror.org/019whta54","country_code":"CH","type":"education","lineage":["https://openalex.org/I97565354"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Thomas A. W. Bolton","raw_affiliation_strings":["Lausanne University Hospital and University of Lausanne,Department of Radiology,Switzerland"],"affiliations":[{"raw_affiliation_string":"Lausanne University Hospital and University of Lausanne,Department of Radiology,Switzerland","institution_ids":["https://openalex.org/I97565354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073093747","display_name":"Mikkel Sch\u00f6ttner","orcid":"https://orcid.org/0000-0002-4521-9837"},"institutions":[{"id":"https://openalex.org/I97565354","display_name":"University of Lausanne","ror":"https://ror.org/019whta54","country_code":"CH","type":"education","lineage":["https://openalex.org/I97565354"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Mikkel Sch\u00f6ttner","raw_affiliation_strings":["Lausanne University Hospital and University of Lausanne,Department of Radiology,Switzerland"],"affiliations":[{"raw_affiliation_string":"Lausanne University Hospital and University of Lausanne,Department of Radiology,Switzerland","institution_ids":["https://openalex.org/I97565354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062725922","display_name":"Jagruti Patel","orcid":"https://orcid.org/0009-0005-3249-7626"},"institutions":[{"id":"https://openalex.org/I97565354","display_name":"University of Lausanne","ror":"https://ror.org/019whta54","country_code":"CH","type":"education","lineage":["https://openalex.org/I97565354"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jagruti Patel","raw_affiliation_strings":["Lausanne University Hospital and University of Lausanne,Department of Radiology,Switzerland"],"affiliations":[{"raw_affiliation_string":"Lausanne University Hospital and University of Lausanne,Department of Radiology,Switzerland","institution_ids":["https://openalex.org/I97565354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074539886","display_name":"Patric Hagmann","orcid":"https://orcid.org/0000-0002-2854-6561"},"institutions":[{"id":"https://openalex.org/I97565354","display_name":"University of Lausanne","ror":"https://ror.org/019whta54","country_code":"CH","type":"education","lineage":["https://openalex.org/I97565354"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Patric Hagmann","raw_affiliation_strings":["Lausanne University Hospital and University of Lausanne,Department of Radiology,Switzerland"],"affiliations":[{"raw_affiliation_string":"Lausanne University Hospital and University of Lausanne,Department of Radiology,Switzerland","institution_ids":["https://openalex.org/I97565354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029740841"],"corresponding_institution_ids":["https://openalex.org/I97565354"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1138213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9894999861717224,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9894999861717224,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/computer-science","display_name":"Computer science","score":0.7282876968383789},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.49950647354125977},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48473450541496277},{"id":"https://openalex.org/keywords/connectome","display_name":"Connectome","score":0.41498589515686035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3698979318141937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32615554332733154},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24039161205291748},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.11087888479232788},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.09282982349395752},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06598851084709167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7282876968383789},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.49950647354125977},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48473450541496277},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.41498589515686035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3698979318141937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32615554332733154},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24039161205291748},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.11087888479232788},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.09282982349395752},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06598851084709167},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635106","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1990134753","https://openalex.org/W2024729467","https://openalex.org/W2101135654","https://openalex.org/W2101491865","https://openalex.org/W2122609459","https://openalex.org/W2149092213","https://openalex.org/W2222512263","https://openalex.org/W2557617319","https://openalex.org/W2784924902","https://openalex.org/W2793980368","https://openalex.org/W2890448436","https://openalex.org/W3092764476","https://openalex.org/W3104576595","https://openalex.org/W3113009972","https://openalex.org/W3163964931","https://openalex.org/W4210518162","https://openalex.org/W4283584121"],"related_works":["https://openalex.org/W2043847720","https://openalex.org/W4312963348","https://openalex.org/W3019511099","https://openalex.org/W3048234683","https://openalex.org/W1744057168","https://openalex.org/W2962960039","https://openalex.org/W3180551345","https://openalex.org/W4287102215","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Graph":[0],"signal":[1],"processing":[2],"(GSP)":[3],"enables":[4],"the":[5,30,46,55,63,94,138,147],"principled":[6],"study":[7,73],"of":[8,32,38,77,81,109,135],"signals":[9,31],"that":[10,85,108,150],"live":[11],"on":[12,105,125],"an":[13,103,152],"underlying":[14],"graph.":[15],"In":[16],"magnetic":[17],"resonance":[18],"imaging,":[19],"this":[20,91],"graph":[21,61],"classically":[22],"describes":[23],"structural":[24,66],"connectivity":[25],"between":[26,65,79],"brain":[27,52,148],"regions,":[28,70],"while":[29],"interest":[33],"are":[34],"regional":[35,51,110],"time":[36,74],"courses":[37,75],"functional":[39],"activity.":[40],"Here,":[41],"we":[42,72],"propose":[43],"to":[44,50,54,98,113],"translate":[45],"GSP":[47,88,111,119,140],"concepts":[48],"applied":[49],"data":[53],"edge-centric":[56],"domain.":[57],"We":[58,83],"create":[59],"a":[60,120],"encoding":[62],"relationships":[64],"connections":[67],"rather":[68],"than":[69],"and":[71,142],"reflective":[76],"co-fluctuations":[78],"pairs":[80],"region.":[82],"show":[84],"when":[86],"leveraging":[87],"tools":[89],"in":[90],"new":[92,133],"domain,":[93],"extracted":[95],"features":[96,149],"enable":[97],"fingerprint":[99],"individual":[100,153],"subjects":[101],"with":[102,107],"accuracy":[104],"par":[106],"coupled":[112],"lower":[114],"between-subject":[115],"similarity,":[116],"making":[117],"edge-wise":[118],"more":[121],"robust":[122],"alternative":[123],"relying":[124],"distinct":[126],"structure/function":[127],"attributes.":[128],"Our":[129],"approach":[130],"opens":[131],"up":[132],"perspectives":[134],"application":[136],"for":[137],"versatile":[139],"toolkit,":[141],"provides":[143],"novel":[144],"insight":[145],"into":[146],"make":[151],"unique.":[154]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}