{"id":"https://openalex.org/W4313546942","doi":"https://doi.org/10.1109/tmi.2023.3234046","title":"Conditional-Based Transformer Network With Learnable Queries for 4D Deformation Forecasting and Tracking","display_name":"Conditional-Based Transformer Network With Learnable Queries for 4D Deformation Forecasting and Tracking","publication_year":2023,"publication_date":"2023-01-04","ids":{"openalex":"https://openalex.org/W4313546942","doi":"https://doi.org/10.1109/tmi.2023.3234046","pmid":"https://pubmed.ncbi.nlm.nih.gov/37018252"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3234046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3234046","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/A5001497522","display_name":"Liset V\u00e1zquez Romaguera","orcid":"https://orcid.org/0000-0001-9731-6789"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Liset V\u00e1zquez Romaguera","raw_affiliation_strings":["&#x00C9;cole Polytechnique de Montr&#x00E9;al, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9731-6789","affiliations":[{"raw_affiliation_string":"&#x00C9;cole Polytechnique de Montr&#x00E9;al, Montreal, QC, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085559129","display_name":"Stephanie Alley","orcid":"https://orcid.org/0000-0003-2196-4565"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Stephanie Alley","raw_affiliation_strings":["&#x00C9;cole Polytechnique de Montr&#x00E9;al, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"&#x00C9;cole Polytechnique de Montr&#x00E9;al, Montreal, QC, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019254200","display_name":"Jean\u2010Fran\u00e7ois Carrier","orcid":"https://orcid.org/0000-0001-5970-7340"},"institutions":[{"id":"https://openalex.org/I4210142730","display_name":"Centre Hospitalier de l\u2019Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0410a8y51","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I4210142730"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jean-Fran\u00e7ois Carrier","raw_affiliation_strings":["Centre Hospitalier de l'Universit&#x00E9; de Montr&#x00E9;al, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre Hospitalier de l'Universit&#x00E9; de Montr&#x00E9;al, Montreal, QC, Canada","institution_ids":["https://openalex.org/I4210142730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039187492","display_name":"Samuel Kadoury","orcid":"https://orcid.org/0000-0002-3048-4291"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samuel Kadoury","raw_affiliation_strings":["&#x00E9;cole Polytechnique de Montr&#x00E9;al, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3048-4291","affiliations":[{"raw_affiliation_string":"&#x00E9;cole Polytechnique de Montr&#x00E9;al, Montreal, QC, Canada","institution_ids":["https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6338,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92867729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"42","issue":"6","first_page":"1603","last_page":"1618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9980000257492065,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.996399998664856,"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":0.7158315181732178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6774110794067383},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5278456211090088},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4765504002571106},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4240553677082062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3982926309108734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39727944135665894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7158315181732178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6774110794067383},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5278456211090088},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4765504002571106},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4240553677082062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3982926309108734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39727944135665894}],"mesh":[{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","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":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D061089","descriptor_name":"Radiotherapy, Image-Guided","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D061089","descriptor_name":"Radiotherapy, Image-Guided","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D061089","descriptor_name":"Radiotherapy, Image-Guided","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2023.3234046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3234046","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:37018252","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37018252","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:publications.polymtl.ca:53167","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/53167/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article de revue"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5799999833106995,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G78147253","display_name":null,"funder_award_id":"CRDPJ-517413-17","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320326644","display_name":"Canada First Research Excellence Fund","ror":null},{"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":68,"referenced_works":["https://openalex.org/W39116502","https://openalex.org/W1485009520","https://openalex.org/W1857884451","https://openalex.org/W1983281817","https://openalex.org/W2030700189","https://openalex.org/W2044986361","https://openalex.org/W2056120433","https://openalex.org/W2073708032","https://openalex.org/W2146905754","https://openalex.org/W2211629196","https://openalex.org/W2344328023","https://openalex.org/W2408241409","https://openalex.org/W2615413256","https://openalex.org/W2619034550","https://openalex.org/W2775520665","https://openalex.org/W2777272045","https://openalex.org/W2798122215","https://openalex.org/W2808707363","https://openalex.org/W2890530234","https://openalex.org/W2891631795","https://openalex.org/W2909665111","https://openalex.org/W2914993553","https://openalex.org/W2946532032","https://openalex.org/W2963435596","https://openalex.org/W2963534981","https://openalex.org/W2964151353","https://openalex.org/W2964327849","https://openalex.org/W2991019415","https://openalex.org/W2995002630","https://openalex.org/W2997571320","https://openalex.org/W3014493403","https://openalex.org/W3015879326","https://openalex.org/W3021364895","https://openalex.org/W3030520226","https://openalex.org/W3034426027","https://openalex.org/W3034772996","https://openalex.org/W3035265644","https://openalex.org/W3035739940","https://openalex.org/W3046085843","https://openalex.org/W3092210850","https://openalex.org/W3119686997","https://openalex.org/W3156428958","https://openalex.org/W3159648554","https://openalex.org/W3167536469","https://openalex.org/W3169514191","https://openalex.org/W3170861286","https://openalex.org/W3171516518","https://openalex.org/W3176549342","https://openalex.org/W3181942264","https://openalex.org/W3184274211","https://openalex.org/W3201974489","https://openalex.org/W3206709865","https://openalex.org/W4205766680","https://openalex.org/W4225757382","https://openalex.org/W4385245566","https://openalex.org/W6738465933","https://openalex.org/W6738467200","https://openalex.org/W6739901393","https://openalex.org/W6745420753","https://openalex.org/W6748392304","https://openalex.org/W6750469568","https://openalex.org/W6752365561","https://openalex.org/W6766623109","https://openalex.org/W6771703261","https://openalex.org/W6772381481","https://openalex.org/W6778485988","https://openalex.org/W6787985011","https://openalex.org/W7075627940"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W3097449145","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W106004901","https://openalex.org/W2170062176","https://openalex.org/W4206911031","https://openalex.org/W2316648939","https://openalex.org/W4313283835"],"abstract_inverted_index":{"Real-time":[0],"motion":[1,174,188,199,231],"management":[2],"for":[3,12,26,100,242],"image-guided":[4],"radiation":[5],"therapy":[6],"interventions":[7],"plays":[8],"an":[9,85],"important":[10],"role":[11],"accurate":[13,27],"dose":[14,28],"delivery.":[15],"Forecasting":[16],"future":[17,118,136,258],"4D":[18,187,230,248],"deformations":[19,259],"from":[20,43,49,93,135],"in-plane":[21],"image":[22],"acquisitions":[23],"is":[24,37,40,127,183,254],"fundamental":[25],"delivery":[29],"and":[30,39,52,68,196,208],"tumor":[31],"targeting.":[32],"However,":[33],"anticipating":[34],"visual":[35],"representations":[36],"challenging":[38],"not":[41,75],"exempt":[42],"hurdles":[44],"such":[45],"as":[46,71,98,162,168],"the":[47,53,101,124,140,151,173,177,193,197,214,221,243,251],"prediction":[48,88],"limited":[50],"dynamics,":[51],"high-dimensionality":[54],"inherent":[55],"to":[56,116,149,171,201,212,226,256],"complex":[57],"deformations.":[58,122],"Also,":[59],"existing":[60],"3D":[61,155],"tracking":[62,157,218],"approaches":[63],"typically":[64],"need":[65],"both":[66,192],"template":[67],"search":[69],"volumes":[70],"inputs,":[72,163],"which":[73,190],"are":[74,96],"available":[76,138],"during":[77,139],"real-time":[78],"treatments.":[79],"In":[80],"this":[81],"work,":[82],"we":[83,105,144],"propose":[84,145],"attention-based":[86],"temporal":[87,154],"network":[89],"where":[90],"features":[91],"extracted":[92],"input":[94],"images":[95,137,161],"treated":[97],"tokens":[99],"predictive":[102],"task.":[103],"Moreover,":[104],"employ":[106],"a":[107,146,186,227,234,261],"set":[108],"of":[109,121,153,237,246,265],"learnable":[110],"queries,":[111],"conditioned":[112],"on":[113,129,185],"prior":[114,132],"knowledge,":[115],"predict":[117,257],"latent":[119,166,194],"representation":[120],"Specifically,":[123],"conditioning":[125],"scheme":[126],"based":[128],"estimated":[130],"time-wise":[131],"distributions":[133],"computed":[134],"training":[141],"stage.":[142],"Finally,":[143],"new":[147],"framework":[148],"address":[150],"problem":[152],"local":[156],"using":[158],"cine":[159],"2D":[160],"by":[164,223],"employing":[165],"vectors":[167,195],"gating":[169],"variables":[170],"refine":[172],"fields":[175],"over":[176],"tracked":[178],"region.":[179],"The":[180,217],"tracker":[181],"module":[182,219],"anchored":[184],"model,":[189,232],"provides":[191],"volumetric":[198],"estimates":[200],"be":[202],"refined.":[203],"Our":[204],"approach":[205],"avoids":[206],"auto-regression":[207],"leverages":[209],"spatial":[210],"transformations":[211],"generate":[213],"forecasted":[215],"images.":[216],"reduces":[220],"error":[222,236,264],"63%":[224],"compared":[225],"conditional-based":[228],"transformer":[229],"yielding":[233],"mean":[235,262],"1.5\u00b1":[238],"1.1":[239],"mm.":[240,268],"Furthermore,":[241],"studied":[244],"cohort":[245],"abdominal":[247],"MRI":[249],"images,":[250],"proposed":[252],"method":[253],"able":[255],"with":[260],"geometrical":[263],"1.2\u00b1":[266],"0.7":[267]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
