{"id":"https://openalex.org/W2024440055","doi":"https://doi.org/10.1109/tmi.2014.2365746","title":"Regression Segmentation for <formula formulatype=\"inline\"><tex Notation=\"TeX\">$M^{3}$</tex></formula> Spinal Images","display_name":"Regression Segmentation for <formula formulatype=\"inline\"><tex Notation=\"TeX\">$M^{3}$</tex></formula> Spinal Images","publication_year":2014,"publication_date":"2014-10-29","ids":{"openalex":"https://openalex.org/W2024440055","doi":"https://doi.org/10.1109/tmi.2014.2365746","mag":"2024440055","pmid":"https://pubmed.ncbi.nlm.nih.gov/25361503"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2014.2365746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2365746","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100419310","display_name":"Zhijie Wang","orcid":"https://orcid.org/0000-0001-8175-3060"},"institutions":[{"id":"https://openalex.org/I189448455","display_name":"General Electric (Spain)","ror":"https://ror.org/04gbh9b75","country_code":"ES","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I189448455"]},{"id":"https://openalex.org/I4210104282","display_name":"CARE Canada","ror":"https://ror.org/01gg7p150","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210104282","https://openalex.org/I4210121728"]}],"countries":["CA","ES"],"is_corresponding":true,"raw_author_name":"Zhijie Wang","raw_affiliation_strings":["GE Healthcare, London, ON, Canada","GE Healthcare, London, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"GE Healthcare, London, ON, Canada","institution_ids":["https://openalex.org/I4210104282"]},{"raw_affiliation_string":"GE Healthcare, London, Canada#TAB#","institution_ids":["https://openalex.org/I189448455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026486701","display_name":"Xiantong Zhen","orcid":"https://orcid.org/0000-0001-5213-0462"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiantong Zhen","raw_affiliation_strings":["Department of Biophisics, Western University, London, ON, Canada","Department of Biophisics, Western University, London, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Biophisics, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Department of Biophisics, Western University, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037569376","display_name":"KengYeow Tay","orcid":null},"institutions":[{"id":"https://openalex.org/I2800925808","display_name":"London Health Sciences Centre","ror":"https://ror.org/037tz0e16","country_code":"CA","type":"funder","lineage":["https://openalex.org/I2800925808"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"KengYeow Tay","raw_affiliation_strings":["London Health Sciences Centre, London, ON, Canada","London Health Sciences centre, London, Canada"],"affiliations":[{"raw_affiliation_string":"London Health Sciences Centre, London, ON, Canada","institution_ids":["https://openalex.org/I2800925808"]},{"raw_affiliation_string":"London Health Sciences centre, London, Canada","institution_ids":["https://openalex.org/I2800925808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113972055","display_name":"Said Osman","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Said Osman","raw_affiliation_strings":["Department of Medical Imaging, Western University, London, ON, Canada","Department of Medical Imaging, Western University, London, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Department of Medical Imaging, Western University, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109175121","display_name":"Walter Romano","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Walter Romano","raw_affiliation_strings":["Department of Medical Imaging, Western University, London, ON, Canada","Department of Medical Imaging, Western University, London, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Department of Medical Imaging, Western University, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100386630","display_name":"Shuo Li","orcid":"https://orcid.org/0000-0002-5184-3230"},"institutions":[{"id":"https://openalex.org/I189448455","display_name":"General Electric (Spain)","ror":"https://ror.org/04gbh9b75","country_code":"ES","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I189448455"]},{"id":"https://openalex.org/I4210104282","display_name":"CARE Canada","ror":"https://ror.org/01gg7p150","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210104282","https://openalex.org/I4210121728"]}],"countries":["CA","ES"],"is_corresponding":false,"raw_author_name":"Shuo Li","raw_affiliation_strings":["GE Healthcare, London, ON, Canada","GE Healthcare, London, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"GE Healthcare, London, ON, Canada","institution_ids":["https://openalex.org/I4210104282"]},{"raw_affiliation_string":"GE Healthcare, London, Canada#TAB#","institution_ids":["https://openalex.org/I189448455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100419310"],"corresponding_institution_ids":["https://openalex.org/I189448455","https://openalex.org/I4210104282"],"apc_list":null,"apc_paid":null,"fwci":4.2326,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.94141846,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"34","issue":"8","first_page":"1640","last_page":"1648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9968000054359436,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6629596948623657},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5826318264007568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5149210691452026},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.48454657196998596},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4719012379646301},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4684733748435974},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4382556974887848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4267963171005249},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3176298439502716},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15845301747322083},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11045712232589722}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6629596948623657},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5826318264007568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5149210691452026},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.48454657196998596},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4719012379646301},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4684733748435974},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4382556974887848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4267963171005249},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3176298439502716},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15845301747322083},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11045712232589722}],"mesh":[{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013131","descriptor_name":"Spine","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013131","descriptor_name":"Spine","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013131","descriptor_name":"Spine","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013131","descriptor_name":"Spine","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D013131","descriptor_name":"Spine","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D013131","descriptor_name":"Spine","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2014.2365746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2365746","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:25361503","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25361503","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W133787854","https://openalex.org/W165346573","https://openalex.org/W174178946","https://openalex.org/W1514207599","https://openalex.org/W1526903458","https://openalex.org/W1566135517","https://openalex.org/W1587294646","https://openalex.org/W1588873454","https://openalex.org/W1591001867","https://openalex.org/W1604257889","https://openalex.org/W1836491999","https://openalex.org/W1966074385","https://openalex.org/W1967595294","https://openalex.org/W1981962374","https://openalex.org/W1985434265","https://openalex.org/W1988462303","https://openalex.org/W1988790447","https://openalex.org/W1992117398","https://openalex.org/W2005863235","https://openalex.org/W2038952578","https://openalex.org/W2045782417","https://openalex.org/W2046296065","https://openalex.org/W2067399451","https://openalex.org/W2075358081","https://openalex.org/W2084806705","https://openalex.org/W2091731589","https://openalex.org/W2092416145","https://openalex.org/W2094573226","https://openalex.org/W2097334502","https://openalex.org/W2097583462","https://openalex.org/W2097775060","https://openalex.org/W2100366146","https://openalex.org/W2104095591","https://openalex.org/W2111381594","https://openalex.org/W2114456429","https://openalex.org/W2119878957","https://openalex.org/W2126155983","https://openalex.org/W2127069950","https://openalex.org/W2129167777","https://openalex.org/W2132513126","https://openalex.org/W2143503452","https://openalex.org/W2143516773","https://openalex.org/W2155389906","https://openalex.org/W2156061276","https://openalex.org/W2161969291","https://openalex.org/W2165759407","https://openalex.org/W2175213056","https://openalex.org/W2184218053","https://openalex.org/W2413560118","https://openalex.org/W3119651796","https://openalex.org/W4285719527","https://openalex.org/W6605467982","https://openalex.org/W6607091300","https://openalex.org/W6635157815","https://openalex.org/W6638903568","https://openalex.org/W6641906735","https://openalex.org/W6677686349"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2160451891","https://openalex.org/W2736898786","https://openalex.org/W2336974148","https://openalex.org/W2056016498","https://openalex.org/W2389470892"],"abstract_inverted_index":{"Clinical":[0],"routine":[1],"often":[2],"requires":[3],"to":[4,31,62,96],"analyze":[5],"spinal":[6,26,65,203,219],"images":[7,27,66,94,148],"of":[8,103,218],"multiple":[9,13,17],"anatomic":[10,14],"structures":[11],"in":[12,35,67,120,159],"planes":[15],"from":[16,40,90,149,166],"imaging":[18],"modalities":[19],"(M(3)).":[20],"Unfortunately,":[21],"existing":[22],"methods":[23],"for":[24,57,201],"segmenting":[25],"are":[28],"still":[29],"limited":[30],"one":[32,36,41,68],"specific":[33,37,42],"structure,":[34],"plane":[38],"or":[39],"modality":[43],"(S(3)).":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"a":[50,80,85,112,176,184],"novel":[51],"approach,":[52],"Regression":[53],"Segmentation,":[54],"that":[55],"is":[56,109],"the":[58,75,101,214],"first":[59],"time":[60],"able":[61],"segment":[63],"M(3)":[64,93,128,202],"single":[69],"unified":[70,193],"framework.":[71],"This":[72],"approach":[73,143],"formulates":[74],"segmentation":[76,108,142,205],"task":[77],"innovatively":[78],"as":[79],"boundary":[81,186],"regression":[82,107,141],"problem:":[83],"modeling":[84],"highly":[86],"nonlinear":[87],"mapping":[88],"function":[89],"substantially":[91,212],"diverse":[92],"directly":[95],"desired":[97],"object":[98],"boundaries.":[99],"Leveraging":[100],"advancement":[102],"sparse":[104],"kernel":[105],"machines,":[106],"fulfilled":[110],"by":[111],"multi-dimensional":[113],"support":[114],"vector":[115],"regressor":[116],"(MSVR)":[117],"which":[118],"operates":[119],"an":[121,197],"implicit,":[122],"high":[123,177],"dimensional":[124],"feature":[125],"space":[126],"where":[127],"diversity":[129],"and":[130,137,156,162,165,169,183,194,210,216],"specificity":[131],"can":[132,206],"be":[133,207],"systematically":[134],"categorized,":[135],"extracted,":[136],"handled.":[138],"The":[139,172],"proposed":[140],"was":[144],"thoroughly":[145],"tested":[146],"on":[147],"113":[150],"clinical":[151,199],"subjects":[152],"including":[153],"both":[154,160,167],"disc":[155],"vertebral":[157],"structures,":[158],"sagittal":[161],"axial":[163],"planes,":[164],"MRI":[168],"CT":[170],"modalities.":[171],"overall":[173],"result":[174],"reaches":[175],"dice":[178],"similarity":[179],"index":[180],"(DSI)":[181],"0.912":[182],"low":[185],"distance":[187],"(BD)":[188],"0.928":[189],"mm.":[190],"With":[191],"our":[192],"expendable":[195],"framework,":[196],"efficient":[198],"tool":[200],"image":[204],"easily":[208],"achieved,":[209],"will":[211],"benefit":[213],"diagnosis":[215],"treatment":[217],"diseases.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-06-24T00:00:00"}