{"id":"https://openalex.org/W1999006543","doi":"https://doi.org/10.1109/icip.2014.7025003","title":"Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment","display_name":"Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1999006543","doi":"https://doi.org/10.1109/icip.2014.7025003","mag":"1999006543"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5065532278","display_name":"Helena Aidos","orcid":"https://orcid.org/0000-0001-6827-4217"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Helena Aidos","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Universidade de Lisboa, Lisbon, Portugal","[Instituto de Telecomunicacoes, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal]"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]},{"raw_affiliation_string":"[Instituto de Telecomunicacoes, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal]","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015907352","display_name":"Jo\u00e3o Duarte","orcid":"https://orcid.org/0000-0003-4745-2111"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao Duarte","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Universidade de Lisboa, Lisbon, Portugal","[Instituto de Telecomunicacoes, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal]"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]},{"raw_affiliation_string":"[Instituto de Telecomunicacoes, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal]","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029045681","display_name":"Ana Fred","orcid":"https://orcid.org/0000-0003-1320-5024"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ana Fred","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Universidade de Lisboa, Lisbon, Portugal","[Instituto de Telecomunicacoes, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal]"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]},{"raw_affiliation_string":"[Instituto de Telecomunicacoes, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal]","institution_ids":["https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065532278"],"corresponding_institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210120471"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67733749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"21","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9977999925613403,"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":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8159013986587524},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7484728097915649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6755821704864502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6413438320159912},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.5995769500732422},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5646508932113647},{"id":"https://openalex.org/keywords/cognitive-impairment","display_name":"Cognitive impairment","score":0.5494120717048645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5125265121459961},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.371690571308136},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3646034598350525},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17344936728477478},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16439616680145264},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10547500848770142},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.0849016010761261}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8159013986587524},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7484728097915649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6755821704864502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6413438320159912},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.5995769500732422},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5646508932113647},{"id":"https://openalex.org/C2984915365","wikidata":"https://www.wikidata.org/wiki/Q5141203","display_name":"Cognitive impairment","level":3,"score":0.5494120717048645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5125265121459961},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.371690571308136},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3646034598350525},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17344936728477478},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16439616680145264},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10547500848770142},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0849016010761261},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/icip.2014.7025003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6899999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1742512077","https://openalex.org/W1985017270","https://openalex.org/W2074163268","https://openalex.org/W2086316204","https://openalex.org/W2088053536","https://openalex.org/W2097440479","https://openalex.org/W2118792782","https://openalex.org/W2119821739","https://openalex.org/W2137026747","https://openalex.org/W2141007997","https://openalex.org/W2146089088","https://openalex.org/W2167038362","https://openalex.org/W2923593235","https://openalex.org/W3021359550","https://openalex.org/W4239510810","https://openalex.org/W6637131181","https://openalex.org/W6680972884"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Alzheimer's":[0],"disease":[1,24,37],"(AD)":[2],"is":[3,25,94],"one":[4],"of":[5,10,22,66,74,80,92,106],"the":[6,36,40,59,113],"most":[7],"common":[8],"types":[9],"dementia":[11],"that":[12,103,112],"affects":[13],"elderly":[14],"people,":[15],"with":[16,72,122],"no":[17],"known":[18],"cure.":[19],"Early":[20],"diagnosis":[21],"this":[23],"very":[26,118],"important":[27],"to":[28,48,54],"improve":[29],"patients'":[30],"life":[31],"quality":[32],"and":[33,100],"slow":[34],"down":[35],"progression.":[38],"Over":[39],"years,":[41],"researchers":[42],"have":[43],"been":[44],"proposing":[45],"several":[46],"techniques":[47],"analyze":[49],"brain":[50,60],"images,":[51,99],"like":[52],"FDG-PET,":[53],"automatically":[55,116],"find":[56],"changes":[57],"in":[58,78],"activity.":[61],"This":[62],"paper":[63],"compares":[64],"regions":[65,73,93,114],"voxels":[67,75],"identified":[68],"by":[69,96],"an":[70],"expert":[71],"found":[76,115],"automatically,":[77],"terms":[79],"corresponding":[81],"classification":[82],"accuracies":[83],"based":[84],"on":[85],"three":[86],"well-known":[87],"classifiers.":[88],"The":[89],"automatic":[90],"identification":[91],"made":[95],"segmenting":[97],"FDG-PET":[98],"extracting":[101],"features":[102],"represent":[104],"each":[105],"those":[107],"regions.":[108,125],"Experimental":[109],"results":[110,121],"show":[111],"are":[117],"discriminative,":[119],"outperforming":[120],"expert's":[123],"defined":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}