{"id":"https://openalex.org/W7161760047","doi":"https://doi.org/10.1109/isbi61048.2026.11515893","title":"Temporally Consistent and Controllable Video Generation of 2D Cine CMR via Latent Space Motion Modeling","display_name":"Temporally Consistent and Controllable Video Generation of 2D Cine CMR via Latent Space Motion Modeling","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161760047","doi":"https://doi.org/10.1109/isbi61048.2026.11515893"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd 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/A5051342555","display_name":"Y Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiheng Cao","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou,China","institution_ids":["https://openalex.org/I4210092817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136591162","display_name":"Gustavo Andrade-Miranda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127738","display_name":"IMT Mines Al\u00e8s","ror":"https://ror.org/03e8rf594","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127738"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gustavo Andrade-Miranda","raw_affiliation_strings":["SyCoIA, IMT Mines Ales,Ales,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SyCoIA, IMT Mines Ales,Ales,France","institution_ids":["https://openalex.org/I4210127738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102970175","display_name":"Jiatian Zhang","orcid":"https://orcid.org/0009-0006-0257-8932"},"institutions":[{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiatian Zhang","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou,China","institution_ids":["https://openalex.org/I4210092817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136536379","display_name":"Guillaume Sall\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guillaume Sall\u00e9","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou,China","institution_ids":["https://openalex.org/I4210092817"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104096258","display_name":"Xia Gao","orcid":"https://orcid.org/0000-0001-7139-7883"},"institutions":[{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Gao","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou,China","institution_ids":["https://openalex.org/I4210092817"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051342555"],"corresponding_institution_ids":["https://openalex.org/I4210092817"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92962334,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.23989999294281006,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.23989999294281006,"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/T11448","display_name":"Face recognition and analysis","score":0.15880000591278076,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.13249999284744263,"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/motion","display_name":"Motion (physics)","score":0.42419999837875366},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.40119999647140503},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.31690001487731934},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.28630000352859497},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.28130000829696655}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6086000204086304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5645999908447266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5591999888420105},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42419999837875366},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.31690001487731934},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2485000044107437},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.24410000443458557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1987015763","https://openalex.org/W2148768265","https://openalex.org/W2586919761","https://openalex.org/W2592929672","https://openalex.org/W2803176574","https://openalex.org/W2804047627","https://openalex.org/W2954996726","https://openalex.org/W3009563704","https://openalex.org/W4211100568","https://openalex.org/W4401751739","https://openalex.org/W4401888965","https://openalex.org/W4402754262","https://openalex.org/W7159618605"],"related_works":[],"abstract_inverted_index":{"Cine":[0],"cardiac":[1,10,41,47,78,84],"magnetic":[2],"resonance":[3],"is":[4],"the":[5,13,19,82],"gold":[6],"standard":[7],"for":[8,34,115,124],"assessing":[9],"function,":[11],"but":[12],"scarcity":[14],"of":[15,21,113,122],"public":[16],"datasets":[17],"limits":[18],"development":[20],"advanced":[22],"data-driven":[23],"models.":[24],"To":[25],"address":[26],"this":[27],"limitation,":[28],"we":[29],"propose":[30],"a":[31,54,63,71,77,111,119,140],"generative":[32],"method":[33],"synthesizing":[35],"temporally":[36],"coherent":[37],"and":[38,89,96,104,118],"anatomically":[39,95],"consistent":[40],"sequences.":[42],"Our":[43,92],"text-to-video":[44],"framework":[45],"decouples":[46],"spatial":[48,87],"structure":[49],"from":[50,62],"temporal":[51,90,102],"motion.":[52],"First,":[53],"finetuned":[55],"diffusion":[56],"model":[57,74,93],"synthesizes":[58],"an":[59],"initial":[60],"frame":[61],"clinical":[64],"text":[65],"prompt,":[66],"controlling":[67],"anatomical":[68],"features.":[69],"Then,":[70],"latent":[72],"flow":[73],"conditioned":[75],"on":[76],"phase":[79],"embedding":[80],"generates":[81,94],"complete":[83],"motion,":[85],"ensuring":[86],"consistency":[88],"control.":[91],"pathologically":[97],"diverse":[98],"sequences":[99],"with":[100],"high":[101],"coherence":[103],"strong":[105],"fidelity":[106],"to":[107,133,143],"input":[108],"prompts,":[109],"achieving":[110],"FID":[112],"31.68":[114],"image":[116],"realism":[117],"CLIP":[120],"score":[121],"31.04":[123],"text-image":[125],"alignment.":[126],"These":[127],"experimental":[128],"results":[129],"highlight":[130],"its":[131],"potential":[132],"produce":[134],"high-fidelity,":[135],"on-demand":[136],"medical":[137],"data,":[138],"offering":[139],"scalable":[141],"solution":[142],"data":[144],"scarcity.":[145]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}