{"id":"https://openalex.org/W2121633678","doi":"https://doi.org/10.1109/cvprw.2010.5543141","title":"Learning high-dimensional image statistics for abnormality detection on medical images","display_name":"Learning high-dimensional image statistics for abnormality detection on medical images","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2121633678","doi":"https://doi.org/10.1109/cvprw.2010.5543141","mag":"2121633678"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2010.5543141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","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/A5029649151","display_name":"G\u00fcray Erus","orcid":"https://orcid.org/0000-0001-6633-4861"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guray Erus","raw_affiliation_strings":["Section of Biomedical Image Analysis,  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis,  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048652955","display_name":"Evangelia I. Zacharaki","orcid":"https://orcid.org/0000-0001-8228-0437"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["GR","US"],"is_corresponding":false,"raw_author_name":"Evangelia I. Zacharaki","raw_affiliation_strings":["Biosignal Processing Group,  School of Medicine, University of Patras, Rio, Greece","Section of Biomedical Image Analysis,  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biosignal Processing Group,  School of Medicine, University of Patras, Rio, Greece","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"Section of Biomedical Image Analysis,  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071352034","display_name":"Nick Bryan","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nick Bryan","raw_affiliation_strings":["Section of Biomedical Image Analysis,  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis,  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034999945","display_name":"Christos Davatzikos","orcid":"https://orcid.org/0000-0002-1025-8561"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Davatzikos","raw_affiliation_strings":["Section of Biomedical Image Analysis,  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis,  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2916,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82552365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"290","issue":null,"first_page":"139","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973999857902527,"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":0.9973999857902527,"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/T10862","display_name":"AI in cancer detection","score":0.9973000288009644,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9930999875068665,"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/linear-subspace","display_name":"Linear subspace","score":0.8457740545272827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6638821959495544},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6268233060836792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6184238195419312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5597286224365234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4724854826927185},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44027864933013916},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.42504042387008667},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35797378420829773},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33878135681152344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3200985789299011}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.8457740545272827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6638821959495544},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6268233060836792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6184238195419312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5597286224365234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4724854826927185},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44027864933013916},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.42504042387008667},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35797378420829773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33878135681152344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3200985789299011},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2010.5543141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","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":21,"referenced_works":["https://openalex.org/W1535700711","https://openalex.org/W1587559447","https://openalex.org/W1833820394","https://openalex.org/W1966846172","https://openalex.org/W1995004864","https://openalex.org/W1998710995","https://openalex.org/W2001141328","https://openalex.org/W2038952578","https://openalex.org/W2043694524","https://openalex.org/W2071881327","https://openalex.org/W2085829822","https://openalex.org/W2102544846","https://openalex.org/W2132358780","https://openalex.org/W2157848968","https://openalex.org/W2165122923","https://openalex.org/W2167049709","https://openalex.org/W2168399612","https://openalex.org/W2169715611","https://openalex.org/W3002694247","https://openalex.org/W4313169793","https://openalex.org/W6638838249"],"related_works":["https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394","https://openalex.org/W2025894073"],"abstract_inverted_index":{"We":[0,82],"present":[1],"a":[2,26,61,93,111,144,151,173],"general":[3],"methodology":[4],"that":[5,133,137],"aims":[6],"to":[7,17,66,84,123,159],"learn":[8],"multi-variate":[9],"statistics":[10,91,142],"of":[11,22,29,56,71,78,92,96,143,147],"high":[12,69],"dimensional":[13,98],"images,":[14,73],"in":[15,110,172],"order":[16],"capture":[18,115],"the":[19,44,57,67,72,75,90,141,163,182,187],"inter-individual":[20],"variability":[21],"imaging":[23,135],"data":[24,59],"from":[25,43,119,181],"limited":[27,76],"number":[28,77,95,146],"training":[30,80],"images.":[31],"The":[32,106,129],"statistical":[33,54],"learning":[34,51],"procedure":[35],"is":[36,60,132,138,157],"used":[37],"for":[38],"identifying":[39],"abnormalities":[40],"as":[41,178],"deviations":[42,180],"normal":[45,183],"variation.":[46],"In":[47],"most":[48],"practical":[49],"applications,":[50],"an":[52,134],"accurate":[53],"model":[55],"observed":[58],"very":[62,68],"challenging":[63],"task":[64],"due":[65],"dimensionality":[70],"and":[74,114,121,125,191],"available":[79],"samples.":[81],"attempt":[83],"overcome":[85],"this":[86],"problem":[87],"by":[88,186],"capturing":[89],"large":[94,145],"lower":[97],"subspaces,":[99,148],"which":[100,166],"can":[101],"be":[102,160],"estimated":[103],"more":[104,127],"reliably.":[105],"subspaces":[107],"are":[108,176,192],"derived":[109],"multi-scale":[112],"fashion,":[113],"image":[116,175],"characteristics":[117],"ranging":[118],"fine":[120],"localized":[122],"coarser":[124],"relatively":[126],"global.":[128],"main":[130],"premise":[131],"pattern":[136],"consistent":[139,161],"with":[140,162],"each":[149],"reflecting":[150],"marginal":[152],"probability":[153],"density":[154],"function":[155],"(pdf),":[156],"likely":[158],"overall":[164],"pdf,":[165],"hasn't":[167],"been":[168],"explicitly":[169],"estimated.":[170],"Abnormalities":[171],"new":[174],"identified":[177],"significant":[179],"variation":[184],"captured":[185],"learned":[188],"subspace":[189],"models,":[190],"determined":[193],"via":[194],"iterative":[195],"projections":[196],"on":[197],"these":[198],"subspaces.":[199]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
