{"id":"https://openalex.org/W4308163977","doi":"https://doi.org/10.48550/arxiv.2211.01353","title":"Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI","display_name":"Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI","publication_year":2022,"publication_date":"2022-11-02","ids":{"openalex":"https://openalex.org/W4308163977","doi":"https://doi.org/10.48550/arxiv.2211.01353"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2211.01353","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.01353","pdf_url":"https://arxiv.org/pdf/2211.01353","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2211.01353","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086452435","display_name":"Guanghui Fu","orcid":"https://orcid.org/0000-0002-6391-5983"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Guanghui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091042267","display_name":"Gabriel Jim\u00e9nez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jimenez, Gabriel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089642246","display_name":"Sophie Loizillon","orcid":"https://orcid.org/0000-0002-3043-7890"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Loizillon, Sophie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013564362","display_name":"Rosana El Jurdi","orcid":"https://orcid.org/0000-0003-0509-9620"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jurdi, Rosana El","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052327854","display_name":"Lydia Chougar","orcid":"https://orcid.org/0000-0001-9306-5687"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chougar, Lydia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055606592","display_name":"Didier Dormont","orcid":"https://orcid.org/0000-0002-6080-1286"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dormont, Didier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030684365","display_name":"Romain Valabr\u00e8gue","orcid":"https://orcid.org/0000-0002-1814-9570"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valabregue, Romain","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053042574","display_name":"Ninon Burgos","orcid":"https://orcid.org/0000-0002-4668-2006"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Burgos, Ninon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029597969","display_name":"St\u00e9phane Leh\u00e9ricy","orcid":"https://orcid.org/0000-0002-5802-3518"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leh\u00e9ricy, St\u00e9phane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066171121","display_name":"Daniel Racoceanu","orcid":"https://orcid.org/0000-0002-9416-1803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Racoceanu, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005778444","display_name":"Olivier Colliot","orcid":"https://orcid.org/0000-0002-9836-654X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Colliot, Olivier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061510047","display_name":"the ICEBERG Study Group","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Group, the ICEBERG Study","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.98580002784729,"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/T10919","display_name":"Neurological disorders and treatments","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/segmentation","display_name":"Segmentation","score":0.7710539102554321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6582051515579224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6220712661743164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.539640486240387},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4952651560306549},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4801337420940399},{"id":"https://openalex.org/keywords/red-nucleus","display_name":"Red nucleus","score":0.4577734172344208},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.42893195152282715},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41224268078804016},{"id":"https://openalex.org/keywords/nucleus","display_name":"Nucleus","score":0.21162328124046326},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15436655282974243},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09185528755187988}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7710539102554321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582051515579224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6220712661743164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.539640486240387},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4952651560306549},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4801337420940399},{"id":"https://openalex.org/C2779384463","wikidata":"https://www.wikidata.org/wiki/Q1751717","display_name":"Red nucleus","level":3,"score":0.4577734172344208},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.42893195152282715},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41224268078804016},{"id":"https://openalex.org/C2780723820","wikidata":"https://www.wikidata.org/wiki/Q1934178","display_name":"Nucleus","level":2,"score":0.21162328124046326},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15436655282974243},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09185528755187988},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2211.01353","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.01353","pdf_url":"https://arxiv.org/pdf/2211.01353","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2211.01353","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2211.01353","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2211.01353","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.01353","pdf_url":"https://arxiv.org/pdf/2211.01353","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"Early":[0],"and":[1,15,83,127],"accurate":[2],"diagnosis":[3],"of":[4,27,67,111,149],"parkinsonian":[5],"syndromes":[6],"is":[7,24,136,153,161,198],"critical":[8],"to":[9,13,64,142,163],"provide":[10],"appropriate":[11],"care":[12],"patients":[14],"for":[16,86,104],"inclusion":[17],"in":[18,35],"therapeutic":[19],"trials.":[20],"The":[21,108,133,168],"red":[22,69,105],"nucleus":[23,106],"a":[25,94,140,189],"structure":[26],"the":[28,62,68,118,124,131,147,165,194],"midbrain":[29],"that":[30,97,183],"plays":[31],"an":[32],"important":[33],"role":[34],"these":[36],"disorders.":[37],"It":[38],"can":[39,52],"be":[40,53],"visualized":[41],"using":[42],"iron-sensitive":[43,50,175],"magnetic":[44],"resonance":[45],"imaging":[46],"(MRI)":[47],"sequences.":[48],"Different":[49],"contrasts":[51,103,176],"produced":[54],"with":[55,80,173],"MRI.":[56],"Combining":[57],"such":[58],"multimodal":[59,72,150],"data":[60],"has":[61],"potential":[63],"improve":[65],"segmentation":[66,73,166],"nucleus.":[70],"Current":[71],"algorithms":[74],"are":[75],"computationally":[76],"consuming,":[77],"cannot":[78],"deal":[79],"missing":[81],"modalities":[82],"need":[84],"annotations":[85],"all":[87],"modalities.":[88],"In":[89],"this":[90],"paper,":[91],"we":[92],"propose":[93],"new":[95],"model":[96,186,192],"integrates":[98],"prior":[99],"knowledge":[100],"from":[101],"different":[102],"segmentation.":[107],"method":[109,170],"consists":[110],"three":[112],"main":[113],"stages.":[114],"First,":[115],"it":[116],"disentangles":[117],"image":[119],"into":[120,139],"high-level":[121],"information":[122,129,135,152],"representing":[123,130],"brain":[125],"structure,":[126],"low-frequency":[128,151],"contrast.":[132],"high-frequency":[134],"then":[137],"fed":[138],"network":[141],"learn":[143],"anatomical":[144],"features,":[145],"while":[146],"list":[148],"processed":[154],"by":[155],"another":[156],"module.":[157],"Finally,":[158],"feature":[159],"fusion":[160],"performed":[162],"complete":[164],"task.":[167],"proposed":[169,185],"was":[171],"used":[172],"several":[174],"(iMag,":[177],"QSM,":[178],"R2*,":[179],"SWI).":[180],"Experiments":[181],"demonstrate":[182],"our":[184],"substantially":[187],"outperforms":[188],"baseline":[190],"UNet":[191],"when":[193],"training":[195],"set":[196],"size":[197],"very":[199],"small.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
