{"id":"https://openalex.org/W2058225582","doi":"https://doi.org/10.1109/bibe.2012.6399658","title":"Automated tumor segmentation using kernel sparse representations","display_name":"Automated tumor segmentation using kernel sparse representations","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2058225582","doi":"https://doi.org/10.1109/bibe.2012.6399658","mag":"2058225582"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2012.6399658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2012.6399658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","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/A5046632395","display_name":"Jayaraman J. Thiagarajan","orcid":"https://orcid.org/0000-0002-8517-5816"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jayaraman J. Thiagarajan","raw_affiliation_strings":["SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287"],"affiliations":[{"raw_affiliation_string":"SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103925175","display_name":"Deepta Rajan","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepta Rajan","raw_affiliation_strings":["SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287"],"affiliations":[{"raw_affiliation_string":"SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081874896","display_name":"Karthikeyan Natesan Ramamurthy","orcid":"https://orcid.org/0000-0002-6021-5930"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthikeyan Natesan Ramamurthy","raw_affiliation_strings":["SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287"],"affiliations":[{"raw_affiliation_string":"SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019040738","display_name":"David Frakes","orcid":"https://orcid.org/0000-0002-4113-4940"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Frakes","raw_affiliation_strings":["SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287"],"affiliations":[{"raw_affiliation_string":"SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074371899","display_name":"Andreas Spanias","orcid":"https://orcid.org/0000-0003-0306-9348"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Spanias","raw_affiliation_strings":["SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287"],"affiliations":[{"raw_affiliation_string":"SenSIP Center and Industry Consortium, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"SenSIP Center and Industry Consortium, School of ECEE, Arizona State University, Tempe, AZ, USA 85287","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046632395"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79829344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"401","last_page":"406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7520101070404053},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7005569934844971},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6871278882026672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684978723526001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6507720351219177},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5486099720001221},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5446524024009705},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4825698435306549},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.47304242849349976},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.462470680475235},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.41078051924705505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2263331115245819}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7520101070404053},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7005569934844971},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6871278882026672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684978723526001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6507720351219177},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5486099720001221},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5446524024009705},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4825698435306549},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.47304242849349976},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.462470680475235},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.41078051924705505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2263331115245819},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe.2012.6399658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2012.6399658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309835","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1504175076","https://openalex.org/W1563088657","https://openalex.org/W1808256548","https://openalex.org/W1989975849","https://openalex.org/W1992405901","https://openalex.org/W2079842879","https://openalex.org/W2097269201","https://openalex.org/W2098056602","https://openalex.org/W2109928907","https://openalex.org/W2110771362","https://openalex.org/W2113606819","https://openalex.org/W2115242586","https://openalex.org/W2116040950","https://openalex.org/W2124389137","https://openalex.org/W2126177867","https://openalex.org/W2129812935","https://openalex.org/W2132358780","https://openalex.org/W2133467637","https://openalex.org/W2149861038","https://openalex.org/W2150654863","https://openalex.org/W2165874743","https://openalex.org/W2171890357","https://openalex.org/W6670693422","https://openalex.org/W6684578312","https://openalex.org/W6685466682"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,45],"describe":[4],"a":[5,58,83,87,136],"pixel":[6,43,84],"based":[7],"approach":[8],"for":[9,42,70],"automated":[10],"segmentation":[11,108,145],"of":[12,95,126],"tumor":[13,99,117,133],"components":[14],"from":[15],"MR":[16],"images.":[17],"Sparse":[18],"coding":[19,56],"with":[20,135],"data-adapted":[21],"dictionaries":[22,73],"has":[23],"been":[24],"successfully":[25],"employed":[26],"in":[27,57],"several":[28],"image":[29],"recovery":[30],"and":[31,74],"vision":[32],"problems.":[33],"Since":[34],"it":[35],"is":[36,119],"trivial":[37],"to":[38,47,52,80,86,114,131,143],"obtain":[39],"sparse":[40,55,78],"codes":[41,79],"values,":[44],"propose":[46],"consider":[48],"their":[49],"non-linear":[50],"similarities":[51],"perform":[53],"kernel":[54,66,72,77],"high":[59],"dimensional":[60],"feature":[61],"space.":[62],"We":[63],"develop":[64],"the":[65,76,96,112,116,127],"K-lines":[67],"clustering":[68],"procedure":[69],"inferring":[71],"use":[75],"determine":[81],"if":[82],"belongs":[85],"tumorous":[88],"region.":[89],"By":[90],"incorporating":[91],"spatial":[92],"locality":[93],"information":[94],"pixels,":[97],"contiguous":[98],"regions":[100],"can":[101],"be":[102],"efficiently":[103],"identified.":[104],"A":[105],"low":[106,137],"complexity":[107],"approach,":[109],"which":[110],"allows":[111],"user":[113],"initialize":[115],"region,":[118],"also":[120],"presented.":[121],"Results":[122],"show":[123],"that":[124],"both":[125],"proposed":[128],"approaches":[129],"lead":[130],"accurate":[132],"identification":[134],"false":[138],"positive":[139],"rate,":[140],"when":[141],"compared":[142],"manual":[144],"by":[146],"an":[147],"expert.":[148]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}