{"id":"https://openalex.org/W3130094908","doi":"https://doi.org/10.1117/12.2581860","title":"Finding atrophy patterns of grey matter through orthonormal non-negative factorization","display_name":"Finding atrophy patterns of grey matter through orthonormal non-negative factorization","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3130094908","doi":"https://doi.org/10.1117/12.2581860","mag":"3130094908"},"language":"en","primary_location":{"id":"doi:10.1117/12.2581860","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Image Processing","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/A5022597371","display_name":"Wenboz Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenboz Zhang","raw_affiliation_strings":["Univ. of Washington (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Washington (United States)","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082676650","display_name":"Kwun Chuen Gary Chan","orcid":"https://orcid.org/0000-0003-1095-7837"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwun Chuen Gary Chan","raw_affiliation_strings":["Univ. of Washington (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Washington (United States)","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048675432","display_name":"Dean Shibata","orcid":"https://orcid.org/0000-0002-1522-3624"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dean Shibata","raw_affiliation_strings":["Univ. of Washington (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Washington (United States)","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084866341","display_name":"David R. Haynor","orcid":"https://orcid.org/0000-0002-8940-7426"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Haynor","raw_affiliation_strings":["Univ. of Washington (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Washington (United States)","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022597371"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34279412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.993399977684021,"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":0.993399977684021,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9846000075340271,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9581999778747559,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7855097055435181},{"id":"https://openalex.org/keywords/orthonormal-basis","display_name":"Orthonormal basis","score":0.7637001872062683},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6715070009231567},{"id":"https://openalex.org/keywords/atrophy","display_name":"Atrophy","score":0.59635990858078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5895834565162659},{"id":"https://openalex.org/keywords/voxel-based-morphometry","display_name":"Voxel-based morphometry","score":0.5376623272895813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5261813402175903},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5117175579071045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43485313653945923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4202157258987427},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4151095449924469},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.30509549379348755},{"id":"https://openalex.org/keywords/white-matter","display_name":"White matter","score":0.2857566177845001},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2514817714691162},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.16243687272071838},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1096554696559906},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10050365328788757}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7855097055435181},{"id":"https://openalex.org/C5806529","wikidata":"https://www.wikidata.org/wiki/Q2365325","display_name":"Orthonormal basis","level":2,"score":0.7637001872062683},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6715070009231567},{"id":"https://openalex.org/C2781172350","wikidata":"https://www.wikidata.org/wiki/Q194520","display_name":"Atrophy","level":2,"score":0.59635990858078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5895834565162659},{"id":"https://openalex.org/C200134340","wikidata":"https://www.wikidata.org/wiki/Q845664","display_name":"Voxel-based morphometry","level":4,"score":0.5376623272895813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5261813402175903},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5117175579071045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43485313653945923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4202157258987427},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4151095449924469},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.30509549379348755},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.2857566177845001},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2514817714691162},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.16243687272071838},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1096554696559906},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10050365328788757},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2581860","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W4294224199"],"abstract_inverted_index":{"We":[0,129,138],"used":[1,42,104],"orthonormal":[2],"projective":[3],"non-negative":[4,85],"matrix":[5,31],"factorization":[6,32],"(OPNMF)":[7],"to":[8,26,43,71,91,134,143,158,161],"identify":[9],"distinct":[10],"spatial":[11],"components":[12,47,70,81,171],"of":[13,20,48,60,77,114,148,172],"voxel-wise":[14],"volume":[15,49,92],"loss":[16,50,93],"in":[17,97,101],"the":[18,75,102,155],"brains":[19],"patients":[21],"with":[22,62,178],"Alzheimer's":[23,149,162],"disease":[24],"relative":[25],"age-matched":[27],"normal":[28],"controls.":[29],"Non-negative":[30],"(NMF)":[33],"is":[34,57],"a":[35,58,63,124,140],"dimension":[36],"reduction":[37],"approach":[38,142],"which":[39,176],"can":[40,94],"be":[41,95],"extract":[44],"spatially":[45],"localized":[46],"from":[51],"3D":[52],"T1-weighted":[53],"MR":[54],"images.":[55],"OPNMF":[56,160],"variant":[59],"NMF":[61],"potential":[64],"for":[65,105],"providing":[66],"more":[67],"biologically":[68],"meaningful":[69],"help":[72],"better":[73],"assess":[74],"patterns":[76],"brain":[78],"atrophy.":[79],"Once":[80],"have":[82],"been":[83],"defined,":[84],"coefficients":[86,109],"representing":[87],"each":[88],"component's":[89],"contribution":[90],"defined":[96],"subjects":[98],"not":[99],"included":[100],"group":[103],"component":[106],"discovery.":[107],"These":[108],"are":[110,154],"subject-specific":[111],"quantitative":[112],"attributes":[113],"atrophy,":[115],"and":[116,164],"we":[117,165],"studied":[118],"their":[119,132],"partial":[120],"dependence":[121],"network":[122],"using":[123],"Gaussian":[125],"copula":[126],"graphical":[127],"model.":[128],"also":[130],"verified":[131],"ability":[133],"distinguish":[135],"diagnosis":[136],"groups.":[137],"performed":[139],"clustering":[141],"investigate":[144],"possible":[145],"imaging":[146],"subtypes":[147,168],"Disease":[150,163],"patients.":[151],"Our":[152],"results":[153],"first":[156],"attempt":[157],"apply":[159],"detect":[166],"different":[167],"based":[169],"on":[170],"gray":[173],"matter":[174],"atrophy":[175],"correlate":[177],"previous":[179],"work.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}