{"id":"https://openalex.org/W1485950133","doi":"https://doi.org/10.1109/isbi.2015.7163873","title":"Multiscale MRF optimization for robust registration of 2D biological data","display_name":"Multiscale MRF optimization for robust registration of 2D biological data","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1485950133","doi":"https://doi.org/10.1109/isbi.2015.7163873","mag":"1485950133"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2015.7163873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","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/A5049309023","display_name":"J. Samuel Preston","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Samuel Preston","raw_affiliation_strings":["Scientific Computing and Imaging (SCI) Institute, University of Utah"],"affiliations":[{"raw_affiliation_string":"Scientific Computing and Imaging (SCI) Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102835648","display_name":"Sarang Joshi","orcid":"https://orcid.org/0000-0002-3446-4810"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarang Joshi","raw_affiliation_strings":["Scientific Computing and Imaging (SCI) Institute, University of Utah"],"affiliations":[{"raw_affiliation_string":"Scientific Computing and Imaging (SCI) Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109840277","display_name":"Ross Whitaker","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ross Whitaker","raw_affiliation_strings":["Scientific Computing and Imaging (SCI) Institute, University of Utah"],"affiliations":[{"raw_affiliation_string":"Scientific Computing and Imaging (SCI) Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049309023"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02004958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"305"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7408009171485901},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6886898875236511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6723009943962097},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6662336587905884},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5842512249946594},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5642898082733154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5441696047782898},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5055277347564697},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48019635677337646},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4362814426422119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41463473439216614},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4101768136024475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40229398012161255},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3677431344985962},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24181759357452393},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.19340819120407104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16274797916412354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12515786290168762}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7408009171485901},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6886898875236511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6723009943962097},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6662336587905884},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5842512249946594},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5642898082733154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5441696047782898},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5055277347564697},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48019635677337646},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4362814426422119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41463473439216614},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4101768136024475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40229398012161255},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3677431344985962},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24181759357452393},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.19340819120407104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16274797916412354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12515786290168762},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2015.7163873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1548529611","https://openalex.org/W1985948328","https://openalex.org/W2004448591","https://openalex.org/W2107884096","https://openalex.org/W2113827609","https://openalex.org/W2118961645","https://openalex.org/W2133774049","https://openalex.org/W2134002968","https://openalex.org/W2143516773","https://openalex.org/W2147762902","https://openalex.org/W2149203124","https://openalex.org/W2164918853","https://openalex.org/W2165949176"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W3101398262","https://openalex.org/W3095877357","https://openalex.org/W2038239089","https://openalex.org/W3001186490","https://openalex.org/W2543939489"],"abstract_inverted_index":{"Discrete":[0],"formulations":[1],"of":[2,8,50,69,88],"image":[3,44],"registration":[4],"offer":[5],"the":[6,48,58,70],"promise":[7],"dense":[9],"deformations":[10],"via":[11],"optimizations":[12],"robust":[13],"to":[14,29,60,91],"large":[15],"motions":[16],"or":[17,31],"poor":[18],"initialization.":[19],"However,":[20],"many":[21],"available":[22],"efficient":[23],"algorithms":[24],"are":[25],"not":[26],"well":[27],"suited":[28],"medical":[30],"biological":[32],"data.":[33],"We":[34],"propose":[35,80],"a":[36,81,86],"novel":[37],"multiscale":[38,67],"Markov":[39],"Random":[40],"Field":[41],"formulation":[42],"for":[43],"registration,":[45],"which":[46,84],"reduces":[47],"number":[49],"labels":[51],"needed":[52],"at":[53],"each":[54],"scale":[55],"while":[56],"preserving":[57],"ability":[59],"represent":[61],"dense,":[62],"fine-grained":[63],"feature":[64,94],"matches.":[65],"The":[66],"nature":[68],"algorithm":[71],"also":[72],"allows":[73],"arbitrary":[74,93],"sub-voxel":[75],"accuracy,":[76],"and":[77],"we":[78],"further":[79],"simple":[82],"extension":[83],"grants":[85],"measure":[87],"rotational":[89],"invariance":[90],"an":[92],"matching":[95],"term.":[96]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
