{"id":"https://openalex.org/W4416456105","doi":"https://doi.org/10.1109/isbi61048.2026.11515676","title":"DINOV3-Guided Cross Fusion Framework for Semantic-Aware CT Generation From MRI and CBCT","display_name":"DINOV3-Guided Cross Fusion Framework for Semantic-Aware CT Generation From MRI and CBCT","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W4416456105","doi":"https://doi.org/10.1109/isbi61048.2026.11515676"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515676","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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.12098","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110840558","display_name":"Xianhao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianhao Zhou","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianghao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianghao Wu","raw_affiliation_strings":["Monash University,Faculty of Information Technology,Melbourne,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University,Faculty of Information Technology,Melbourne,Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009676301","display_name":"Ku Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ku Zhao","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100570181","display_name":"Jinlong He","orcid":"https://orcid.org/0009-0006-5171-3694"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong He","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045986179","display_name":"Huangxuan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huangxuan Zhao","raw_affiliation_strings":["Institute of Artificial Intelligence, School of Computer Science, Wuhan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, School of Computer Science, Wuhan University,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612979","display_name":"Lei Chen","orcid":"https://orcid.org/0009-0008-7510-5583"},"institutions":[{"id":"https://openalex.org/I4210129222","display_name":"Wuhan Union Hospital","ror":"https://ror.org/0371fqr87","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210129222"]},{"id":"https://openalex.org/I4210163933","display_name":"Union Hospital","ror":"https://ror.org/055gkcy74","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210163933"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Tongji Medical College, Huazhong University of Science and Technology,Union Hospital,Department of Radiology,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji Medical College, Huazhong University of Science and Technology,Union Hospital,Department of Radiology,Wuhan,China","institution_ids":["https://openalex.org/I4210129222","https://openalex.org/I4210163933"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shaoting Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoting Zhang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029722566","display_name":"Guotai Wang","orcid":"https://orcid.org/0000-0002-8632-158X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guotai Wang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5110840558"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01032252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.423799991607666,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.423799991607666,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.10809999704360962,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.07119999825954437,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6071000099182129},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5573999881744385},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5231999754905701},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.38940000534057617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38769999146461487},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.38359999656677246},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.3815999925136566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.680400013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6075999736785889},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6071000099182129},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5573999881744385},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5231999754905701},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4198000133037567},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.38940000534057617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.3815999925136566},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.335999995470047},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.31679999828338623},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3050999939441681},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2624000012874603}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515676","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"},{"id":"pmh:oai:arXiv.org:2511.12098","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.12098","pdf_url":"https://arxiv.org/pdf/2511.12098","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},{"id":"doi:10.48550/arxiv.2511.12098","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.12098","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.12098","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.12098","pdf_url":"https://arxiv.org/pdf/2511.12098","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5603717266","display_name":null,"funder_award_id":"2025ZNSFSC0455","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generating":[0],"synthetic":[1,106],"CT":[2,107,140,144,175],"images":[3],"from":[4],"CBCT":[5,142],"or":[6],"MRI":[7,138],"has":[8],"a":[9,49,57,63,80,95],"potential":[10,168],"for":[11,162,173],"efficient":[12],"radiation":[13],"dose":[14],"planning":[15],"and":[16,39,74,89,108,133,141],"adaptive":[17],"radiotherapy.":[18],"However,":[19],"existing":[20],"CNN-based":[21],"models":[22],"lack":[23],"global":[24,70],"semantic":[25,103],"understanding,":[26],"while":[27],"Transformers":[28],"often":[29],"overfit":[30],"small":[31],"medical":[32,163],"datasets":[33],"due":[34],"to":[35,158],"high":[36],"model":[37],"capacity":[38],"weak":[40],"inductive":[41],"bias.":[42],"To":[43,147],"address":[44],"these":[45],"limitations,":[46],"we":[47,93],"propose":[48],"DINOv3-Guided":[50],"Cross":[51],"Fusion":[52],"(DGCF)":[53],"framework":[54],"that":[55,101,123],"integrates":[56],"frozen":[58],"self-supervised":[59,170],"DINOv3":[60,97,160],"Transformer":[61,73,171],"with":[62],"trainable":[64],"CNN":[65,78],"encoder-decoder.":[66],"It":[67],"hierarchically":[68],"fuses":[69],"representation":[71],"of":[72,77,130,150,169],"local":[75,87],"features":[76],"via":[79],"learnable":[81],"cross":[82],"fusion":[83],"module,":[84],"achieving":[85],"balanced":[86],"appearance":[88],"contextual":[90],"representation.":[91],"Furthermore,":[92],"introduce":[94],"Multi-Level":[96],"Perceptual":[98],"(MLDP)":[99],"loss":[100],"encourages":[102],"similarity":[104],"between":[105],"the":[109,118,148,155,167],"ground":[110],"truth":[111],"in":[112,128],"DINOv3's":[113],"feature":[114],"space.":[115],"Experiments":[116],"on":[117,136],"SynthRAD2023":[119],"pelvic":[120],"dataset":[121],"demonstrate":[122],"DGCF":[124],"achieved":[125],"state-of-the-art":[126],"performance":[127],"terms":[129],"MS-SSIM,":[131],"PSNR":[132],"segmentation-based":[134],"metrics":[135],"both":[137],"\u2192":[139,143],"translation":[145],"tasks.":[146],"best":[149],"our":[151],"knowledge,":[152],"this":[153],"is":[154,179],"first":[156],"work":[157],"employ":[159],"representations":[161],"image":[164],"translation,":[165],"highlighting":[166],"guidance":[172],"semantic-aware":[174],"synthesis.":[176],"The":[177],"code":[178],"available":[180],"at":[181],"https://github.com/HiLabgit/DGCF.git.":[182]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-11-19T00:00:00"}
