{"id":"https://openalex.org/W7126048841","doi":"https://doi.org/10.1109/bibm66473.2025.11356115","title":"DIFA: A Gradient Prior-Guided Deformable Inter-Frame Attention Framework for Dynamic Medical Image Interpolation","display_name":"DIFA: A Gradient Prior-Guided Deformable Inter-Frame Attention Framework for Dynamic Medical Image Interpolation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126048841","doi":"https://doi.org/10.1109/bibm66473.2025.11356115"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124196049","display_name":"Zhaochi Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaochi Wen","raw_affiliation_strings":["School of Biomedical Engineering & State Key Laboratory of Advanced Medical Material and Devices, ShanghaiTech University,Shanghai,China,201210"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & State Key Laboratory of Advanced Medical Material and Devices, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041217103","display_name":"Mengwei Chen","orcid":"https://orcid.org/0000-0003-4073-9232"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Cheng","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124174996","display_name":"Yuliang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Zhu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124193826","display_name":"Daisong Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daisong Gan","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064297320","display_name":"Zhe Zhang","orcid":"https://orcid.org/0000-0003-3192-3476"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124261053","display_name":"Dong Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liang","raw_affiliation_strings":["School of Biomedical Engineering & State Key Laboratory of Advanced Medical Material and Devices, ShanghaiTech University,Shanghai,China,201210"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & State Key Laboratory of Advanced Medical Material and Devices, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5124196049"],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6906694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2966","last_page":"2973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.29269999265670776,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.29269999265670776,"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":0.1665000021457672,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.06279999762773514,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.5964999794960022},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.552299976348877},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.4542999863624573},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4327000081539154},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.42340001463890076},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41839998960494995},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41269999742507935},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.41040000319480896},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.3939000070095062},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.38029998540878296}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7684000134468079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390000224113464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7084000110626221},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5964999794960022},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.552299976348877},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.4542999863624573},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.42340001463890076},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.41040000319480896},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.3939000070095062},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.37940001487731934},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C197301865","wikidata":"https://www.wikidata.org/wiki/Q5318983","display_name":"Dynamic imaging","level":5,"score":0.3474000096321106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.2685000002384186},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.2630000114440918},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1091522791","display_name":null,"funder_award_id":"2023B1212060053","funder_id":"https://openalex.org/F4320327665","funder_display_name":"Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province"},{"id":"https://openalex.org/G2501518947","display_name":null,"funder_award_id":"62331028,62125111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327665","display_name":"Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2009459629","https://openalex.org/W2018919812","https://openalex.org/W2019289784","https://openalex.org/W2053618524","https://openalex.org/W2082690978","https://openalex.org/W2130095785","https://openalex.org/W2136145485","https://openalex.org/W2155298532","https://openalex.org/W2604920239","https://openalex.org/W2753461941","https://openalex.org/W2765984649","https://openalex.org/W2787740020","https://openalex.org/W2802580239","https://openalex.org/W2804047627","https://openalex.org/W2940187762","https://openalex.org/W2963093735","https://openalex.org/W3015734078","https://openalex.org/W3035538852","https://openalex.org/W3217352074","https://openalex.org/W4200190453","https://openalex.org/W4312623579","https://openalex.org/W4364354535","https://openalex.org/W4366828309","https://openalex.org/W4385245566","https://openalex.org/W4386066282","https://openalex.org/W4386918765","https://openalex.org/W4393149921","https://openalex.org/W4402703125","https://openalex.org/W4413158080"],"related_works":[],"abstract_inverted_index":{"Dynamic":[0],"medical":[1,64,187],"imaging":[2,65],"sequences,":[3],"such":[4],"as":[5],"cardiac":[6,149],"cine":[7,150],"MRI":[8,151],"and":[9,18,43,152,171,173],"dynamic":[10,63,153,186],"CT,":[11],"are":[12],"vital":[13],"for":[14,58,181],"capturing":[15],"organ":[16,104],"motion":[17,46],"enabling":[19],"functional":[20],"assessment.":[21],"However,":[22],"these":[23],"modalities":[24],"face":[25],"an":[26],"inherent":[27],"spatiotemporal":[28],"trade-off:":[29],"achieving":[30],"high":[31],"spatial":[32],"resolution":[33,42,184],"often":[34],"necessitates":[35],"prolonged":[36],"acquisition":[37],"times,":[38],"which":[39,85],"compromises":[40],"temporal":[41,129,183],"obscures":[44],"critical":[45],"details.":[47],"To":[48],"address":[49],"this":[50],"challenge,":[51],"we":[52],"introduce":[53],"DIFA,":[54],"a":[55,80,114,178],"novel":[56],"framework":[57,132],"arbitrary-time":[59],"frame":[60,162],"interpolation":[61,163],"in":[62,165,185],"sequences.":[66],"DIFA":[67,159],"integrates":[68],"two":[69],"synergistic":[70],"components:":[71],"(1)":[72],"A":[73,107],"Bilateral":[74,108],"Flow":[75,109],"Estimation":[76],"(BFE)":[77],"module":[78,112],"incorporates":[79],"deformable":[81],"inter-frame":[82],"attention":[83],"mechanism,":[84],"explicitly":[86],"models":[87],"non-rigid":[88],"pixel":[89],"trajectories":[90],"under":[91],"the":[92,99,134],"guidance":[93],"of":[94,102,125,136],"gradient":[95],"priors,":[96],"thereby":[97],"ensuring":[98],"accurate":[100],"capture":[101],"large":[103],"motions.":[105],"(2)":[106],"Fusion":[110],"(BFF)":[111],"employs":[113],"multi-scale":[115],"pyramid":[116],"architecture":[117],"with":[118],"cross-attention":[119],"warping":[120],"to":[121],"achieve":[122],"precise":[123],"integration":[124],"motionwarped":[126],"features":[127],"across":[128],"scales.":[130],"This":[131],"enables":[133],"generation":[135],"anatomically":[137],"coherent":[138],"intermediate":[139],"frames":[140],"at":[141],"any":[142],"user-specified":[143],"time":[144],"point.":[145],"Extensive":[146],"experiments":[147],"on":[148],"lung":[154],"CT":[155],"datasets":[156],"demonstrate":[157],"that":[158],"surpasses":[160],"state-of-the-art":[161],"methods":[164],"both":[166],"quantitative":[167],"metrics":[168],"(e.g.,":[169],"PSNR":[170],"LPIPS)":[172],"qualitative":[174],"visual":[175],"assessments,":[176],"offering":[177],"robust":[179],"solution":[180],"enhancing":[182],"imaging.":[188]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}