{"id":"https://openalex.org/W2099042777","doi":"https://doi.org/10.1109/isbi.2006.1624934","title":"Triplet Markov Chain for 3D MRI Brain Segmentation Using a Probabilistic Atlas","display_name":"Triplet Markov Chain for 3D MRI Brain Segmentation Using a Probabilistic Atlas","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W2099042777","doi":"https://doi.org/10.1109/isbi.2006.1624934","mag":"2099042777"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2006.1624934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2006.1624934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.","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/A5005539981","display_name":"St\u00e9phanie Bricq","orcid":"https://orcid.org/0000-0002-6558-5893"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Bricq","raw_affiliation_strings":["LSIIT, Universit\u00e9 Strasbourg I, UMR CNRS 7005, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LSIIT, Universit\u00e9 Strasbourg I, UMR CNRS 7005, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109888593","display_name":"C. Collet","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Collet","raw_affiliation_strings":["LSIIT, Universit\u00e9 Strasbourg I, UMR CNRS 7005, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LSIIT, Universit\u00e9 Strasbourg I, UMR CNRS 7005, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045490153","display_name":"Jean\u2010Paul Armspach","orcid":"https://orcid.org/0000-0001-9149-3266"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210098836","display_name":"Institut de Physique","ror":"https://ror.org/00z54nq84","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I4210098836"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-P. Armspach","raw_affiliation_strings":["Institut de Physique Biologique, IPB, Universit\u00e9 Strasbourg I, ULP, UMR CNRS 7004, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Physique Biologique, IPB, Universit\u00e9 Strasbourg I, ULP, UMR CNRS 7004, France","institution_ids":["https://openalex.org/I4210098836","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1021,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94449487,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"386","last_page":"389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9962999820709229,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.7125619649887085},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.699081301689148},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6715747117996216},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.6674557328224182},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6643570065498352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6026418209075928},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5463209748268127},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5096113681793213},{"id":"https://openalex.org/keywords/white-matter","display_name":"White matter","score":0.5083202719688416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4974386990070343},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.49599727988243103},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.47142237424850464},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4696582853794098},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4507293403148651},{"id":"https://openalex.org/keywords/brain-atlas","display_name":"Brain atlas","score":0.4327929615974426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27602529525756836},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.2372937798500061},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13475731015205383},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08155179023742676},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.06877797842025757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125619649887085},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.699081301689148},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6715747117996216},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.6674557328224182},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6643570065498352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6026418209075928},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5463209748268127},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5096113681793213},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.5083202719688416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4974386990070343},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.49599727988243103},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.47142237424850464},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4696582853794098},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4507293403148651},{"id":"https://openalex.org/C2780972224","wikidata":"https://www.wikidata.org/wiki/Q17047956","display_name":"Brain atlas","level":2,"score":0.4327929615974426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27602529525756836},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2372937798500061},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13475731015205383},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08155179023742676},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.06877797842025757},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2006.1624934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2006.1624934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.190.4485","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.190.4485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://picabia.u-strasbg.fr/lsiit/perso/collet/ftp/Publis/C49.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1949800156","https://openalex.org/W1970652057","https://openalex.org/W1971180200","https://openalex.org/W1979395711","https://openalex.org/W1986628418","https://openalex.org/W2044312370","https://openalex.org/W2045656233","https://openalex.org/W2049633694","https://openalex.org/W2071881327","https://openalex.org/W2094414211","https://openalex.org/W2119848633","https://openalex.org/W2130686832","https://openalex.org/W2135365788","https://openalex.org/W2152637359","https://openalex.org/W2156768950","https://openalex.org/W2170622722","https://openalex.org/W2244065661","https://openalex.org/W2296152630","https://openalex.org/W2570546121","https://openalex.org/W4285719527","https://openalex.org/W6731935091","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2294335174","https://openalex.org/W2025614924","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1595191759","https://openalex.org/W2010299594"],"abstract_inverted_index":{"In":[0],"this":[1,70,86],"paper,":[2],"we":[3,21],"present":[4],"a":[5,13,30,92],"new":[6,87],"Markovian":[7,88],"scheme":[8,90],"for":[9],"MRI":[10],"segmentation":[11,89],"using":[12,91],"priori":[14],"knowledge":[15],"obtained":[16],"from":[17],"probability":[18],"maps.":[19],"Indeed":[20],"propose":[22],"to":[23,45,68],"use":[24],"both":[25],"triplet":[26],"Markov":[27],"chain":[28],"and":[29,54],"brain":[31,48],"atlas":[32,94],"containing":[33],"prior":[34],"expectations":[35],"about":[36],"the":[37,41,47,79],"spatial":[38],"localization":[39],"of":[40,85],"different":[42],"tissue":[43],"classes,":[44],"segment":[46],"in":[49,57],"gray":[50],"matter,":[51],"white":[52],"matter":[53],"cerebro-spinal":[55],"fluid":[56],"an":[58],"unsupervised":[59],"way.":[60],"Experimental":[61],"results":[62],"on":[63],"real":[64],"data":[65],"are":[66],"included":[67],"validate":[69],"approach.":[71],"Comparison":[72],"with":[73],"other":[74],"previously":[75],"used":[76],"techniques":[77],"demonstrates":[78],"advantages":[80],"(robustness,":[81],"low":[82],"computational":[83],"complexity)":[84],"probabilistic":[93]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}