{"id":"https://openalex.org/W2118560572","doi":"https://doi.org/10.1109/tmi.2012.2228879","title":"Interventional Tool Tracking Using Discrete Optimization","display_name":"Interventional Tool Tracking Using Discrete Optimization","publication_year":2012,"publication_date":"2012-12-07","ids":{"openalex":"https://openalex.org/W2118560572","doi":"https://doi.org/10.1109/tmi.2012.2228879","mag":"2118560572","pmid":"https://pubmed.ncbi.nlm.nih.gov/23232412"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2012.2228879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2012.2228879","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/A5071582056","display_name":"Hauke Heibel","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hauke Heibel","raw_affiliation_strings":["Computer Aided Medical Procedures (CAMP), Technische Universit\u00e4t M\u00fcnchen, 85748 Munich, Germany. heibel@cs.tum.edu","Comput. Aided Med. Procedures (CAMP), Tech. Univ. Munchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures (CAMP), Technische Universit\u00e4t M\u00fcnchen, 85748 Munich, Germany. heibel@cs.tum.edu","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Comput. Aided Med. Procedures (CAMP), Tech. Univ. Munchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007222325","display_name":"Ben Glocker","orcid":"https://orcid.org/0000-0002-4897-9356"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Ben Glocker","raw_affiliation_strings":["Microsoft Research Cambridge, Cambridge, UK","Microsoft Research Cambridge Cambridge, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research Cambridge Cambridge, UK#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090861695","display_name":"Martin Groher","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Groher","raw_affiliation_strings":["Computer Aided Medical Procedures (CAMP), Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","Comput. Aided Med. Procedures (CAMP), Tech. Univ. Munchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures (CAMP), Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Comput. Aided Med. Procedures (CAMP), Tech. Univ. Munchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109000951","display_name":"Marcus Pfister","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthineers (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcus Pfister","raw_affiliation_strings":["Siemens Healthcare, Forchheim, Germany","\u00a7Siemens Healthcare, Forchheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Healthcare, Forchheim, Germany","institution_ids":["https://openalex.org/I4210153902"]},{"raw_affiliation_string":"\u00a7Siemens Healthcare, Forchheim, Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046896448","display_name":"Nassir Navab","orcid":"https://orcid.org/0000-0002-6032-5611"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nassir Navab","raw_affiliation_strings":["Computer Aided Medical Procedures (CAMP), Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","Comput. Aided Med. Procedures (CAMP), Tech. Univ. Munchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures (CAMP), Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Comput. Aided Med. Procedures (CAMP), Tech. Univ. Munchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4387,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.92898434,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":"3","first_page":"544","last_page":"555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9958999752998352,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9926000237464905,"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/maxima-and-minima","display_name":"Maxima and minima","score":0.6801114082336426},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5367966890335083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5263912677764893},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5191932916641235},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5096461772918701},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48314398527145386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47193095088005066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44175416231155396},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41255512833595276},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38324540853500366},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38030147552490234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3557146191596985},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.27652260661125183},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.23029384016990662},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13146847486495972}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6801114082336426},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5367966890335083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5263912677764893},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5191932916641235},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5096461772918701},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48314398527145386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47193095088005066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44175416231155396},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41255512833595276},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38324540853500366},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38030147552490234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3557146191596985},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.27652260661125183},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.23029384016990662},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13146847486495972},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005471","descriptor_name":"Fluoroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005471","descriptor_name":"Fluoroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005471","descriptor_name":"Fluoroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006328","descriptor_name":"Cardiac Catheterization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006328","descriptor_name":"Cardiac Catheterization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006328","descriptor_name":"Cardiac Catheterization","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":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016461","descriptor_name":"Chemoembolization, Therapeutic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016461","descriptor_name":"Chemoembolization, Therapeutic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016461","descriptor_name":"Chemoembolization, Therapeutic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025321","descriptor_name":"Surgery, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025321","descriptor_name":"Surgery, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025321","descriptor_name":"Surgery, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2012.2228879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2012.2228879","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:23232412","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23232412","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},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.973.7209","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.973.7209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://spiral.imperial.ac.uk/bitstream/10044/1/13906/2/IEEE%20Transactions%20on%20Medical%20Imaging_32_3_2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1481895028","https://openalex.org/W1524414421","https://openalex.org/W1561568613","https://openalex.org/W1563959740","https://openalex.org/W1569330617","https://openalex.org/W1651266332","https://openalex.org/W1926606048","https://openalex.org/W1995903777","https://openalex.org/W1996743920","https://openalex.org/W2067983060","https://openalex.org/W2098387242","https://openalex.org/W2101309634","https://openalex.org/W2102049186","https://openalex.org/W2103498186","https://openalex.org/W2105921655","https://openalex.org/W2110306576","https://openalex.org/W2115802570","https://openalex.org/W2118961645","https://openalex.org/W2121488912","https://openalex.org/W2128638241","https://openalex.org/W2129534965","https://openalex.org/W2129764136","https://openalex.org/W2132239611","https://openalex.org/W2143516773","https://openalex.org/W2145655414","https://openalex.org/W2147343920","https://openalex.org/W2149203124","https://openalex.org/W2153396823","https://openalex.org/W2157807469","https://openalex.org/W2164918853","https://openalex.org/W2911823491","https://openalex.org/W4237856727","https://openalex.org/W6628729318","https://openalex.org/W6633798915","https://openalex.org/W6678243454","https://openalex.org/W6679194599"],"related_works":["https://openalex.org/W2097090565","https://openalex.org/W2008444830","https://openalex.org/W2804375118","https://openalex.org/W2112506753","https://openalex.org/W1495937069","https://openalex.org/W2160831725","https://openalex.org/W2132110568","https://openalex.org/W2029809897","https://openalex.org/W1522441193","https://openalex.org/W2020492441"],"abstract_inverted_index":{"This":[0,174,185],"work":[1,186],"presents":[2],"a":[3,113,118,125,143,156,164,203],"novel":[4],"scheme":[5],"for":[6,154,179,194],"tracking":[7,181,236,256],"of":[8,12,35,50,65,99,127,147,176,189,225,237,243,261],"motion":[9,54,72],"and":[10,18,28,68,78,209,220],"deformation":[11,131],"interventional":[13,92],"tools":[14,37,93],"such":[15],"as":[16],"guide-wires":[17,238],"catheters":[19],"in":[20,40,117,223,239],"fluoroscopic":[21,66,240],"X-ray":[22,241],"sequences.":[23],"Being":[24],"able":[25],"to":[26,30,42,59,70,112,140,162,171,201,215,234],"track":[27],"thus":[29],"estimate":[31,146],"the":[32,52,60,83,130,136,141,148,160,218,235,259,262],"correct":[33],"positions":[34],"these":[36],"is":[38,55,88,102,159,169,175],"crucial":[39],"order":[41],"offer":[43],"guidance":[44],"enhancement":[45],"during":[46],"interventions.":[47],"The":[48,85,151,229],"task":[49],"estimating":[51],"apparent":[53],"particularly":[56],"challenging":[57],"due":[58,69],"low":[61],"signal-to-noise":[62],"ratio":[63],"(SNR)":[64],"images":[67],"combined":[71],"components":[73],"originating":[74],"from":[75],"patient":[76],"breathing":[77],"tool":[79],"interactions":[80],"performed":[81],"by":[82],"physician.":[84],"presented":[86],"approach":[87,158],"based":[89],"on":[90],"modeling":[91],"with":[94,253],"B-splines":[95],"whose":[96],"optimal":[97,137],"configuration":[98],"control":[100,109],"points":[101],"determined":[103],"through":[104],"efficient":[105,191],"discrete":[106,114,157],"optimization.":[107],"Each":[108],"point":[110],"corresponds":[111,139],"random":[115,120],"variable":[116],"Markov":[119],"field":[121],"(MRF)":[122],"formulation":[123],"where":[124],"set":[126],"labels":[128],"represents":[129],"space.":[132],"In":[133,196],"this":[134],"context,":[135],"curve":[138,180],"maximum":[142],"posteriori":[144],"(MAP)":[145],"MRF":[149],"energy.":[150],"main":[152],"motivation":[153],"employing":[155,190],"possibility":[161],"incorporate":[163],"multi-directional":[165],"search":[166],"space":[167],"which":[168,247],"robust":[170,250],"local":[172],"minima.":[173],"particular":[177,197],"interest":[178],"under":[182],"large":[183],"deformation.":[184],"analyzes":[187],"feasibility":[188],"first-order":[192],"MRFs":[193],"tracking.":[195],"it":[198],"shows":[199],"how":[200],"achieve":[202],"good":[204],"compromise":[205],"between":[206],"energy":[207,222],"approximations":[208],"computational":[210],"efficiency.":[211],"Experimental":[212],"results":[213],"suggest":[214],"define":[216],"both":[217],"external":[219],"internal":[221],"terms":[224],"pairwise":[226],"potential":[227],"functions.":[228],"method":[230],"was":[231],"successfully":[232],"applied":[233],"sequences":[242],"several":[244],"hundred":[245],"frames":[246],"requires":[248],"extremely":[249],"techniques.":[251],"Comparisons":[252],"state-of-the-art":[254],"guide-wire":[255],"algorithms":[257],"confirm":[258],"effectiveness":[260],"proposed":[263],"method.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2025-10-10T00:00:00"}
