{"id":"https://openalex.org/W7154603530","doi":"https://doi.org/10.48550/arxiv.2604.13495","title":"ADP-DiT: Text-Guided Diffusion Transformer for Brain Image Generation in Alzheimer's Disease Progression","display_name":"ADP-DiT: Text-Guided Diffusion Transformer for Brain Image Generation in Alzheimer's Disease Progression","publication_year":2026,"publication_date":"2026-04-15","ids":{"openalex":"https://openalex.org/W7154603530","doi":"https://doi.org/10.48550/arxiv.2604.13495"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.13495","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13495","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.13495","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011412040","display_name":"J.Y. Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Juneyong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133776457","display_name":"Geonwoo Baek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baek, Geonwoo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026873215","display_name":"Ikbeom Jang","orcid":"https://orcid.org/0000-0002-6901-983X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jang, Ikbeom","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.48030000925064087,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.48030000925064087,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.17149999737739563,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.14329999685287476,"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/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5410000085830688},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.5315999984741211},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.47209998965263367},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.40720000863075256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40070000290870667},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.39660000801086426},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.3215000033378601},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.3095000088214874}],"concepts":[{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5410000085830688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5354999899864197},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.5315999984741211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5199999809265137},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42980000376701355},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.40720000863075256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40070000290870667},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.3215000033378601},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.3095000088214874},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3091999888420105},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28220000863075256},{"id":"https://openalex.org/C116580362","wikidata":"https://www.wikidata.org/wiki/Q3878457","display_name":"Spatial normalization","level":3,"score":0.27950000762939453},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.2793000042438507},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.13495","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13495","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":"doi:10.48550/arxiv.2604.13495","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13495","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.5312576293945312,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Alzheimer's":[0],"disease":[1],"(AD)":[2],"progresses":[3],"heterogeneously":[4],"across":[5],"individuals,":[6],"motivating":[7],"subject-specific":[8,203],"synthesis":[9],"of":[10],"follow-up":[11,45,68],"magnetic":[12],"resonance":[13],"imaging":[14],"(MRI)":[15],"to":[16,137,149],"support":[17],"progression":[18],"assessment.":[19],"While":[20],"Diffusion":[21],"Transformers":[22],"(DiT),":[23],"an":[24,55],"emerging":[25],"transformer-based":[26],"diffusion":[27,59,142],"model,":[28],"offer":[29],"a":[30,80,144,176],"scalable":[31],"backbone":[32],"for":[33,61,100,105,117,124],"image":[34,138,164],"synthesis,":[35],"longitudinal":[36,62,156,210],"AD":[37,63,211],"MRI":[38,64,212],"generation":[39],"with":[40,71,206],"clinically":[41,57],"interpretable":[42],"control":[43,85],"over":[44,175],"time":[46],"and":[47,76,103,120,140,170,182,194],"participant":[48],"metadata":[49],"remains":[50],"underexplored.":[51],"We":[52,127],"present":[53],"ADP-DiT,":[54],"interval-aware,":[56],"text-conditioned":[58],"transformer":[60],"synthesis.":[65,213],"ADP-DiT":[66,166],"encodes":[67],"interval":[69],"together":[70],"multi-domain":[72],"demographic,":[73],"diagnostic":[74,88],"(CN/MCI/AD),":[75],"neuropsychological":[77],"information":[78],"as":[79,191],"natural-language":[81],"prompt,":[82],"enabling":[83],"time-specific":[84],"beyond":[86],"coarse":[87],"stages.":[89],"To":[90],"inject":[91],"this":[92],"conditioning":[93],"effectively,":[94],"we":[95],"use":[96],"dual":[97],"text":[98],"encoders-OpenCLIP":[99],"vision-language":[101],"alignment":[102],"T5":[104],"richer":[106],"clinical-language":[107],"understanding.":[108],"Their":[109],"embeddings":[110,136],"are":[111],"fused":[112],"into":[113],"DiT":[114,177],"through":[115],"cross-attention":[116],"fine-grained":[118],"guidance":[119],"adaptive":[121],"layer":[122],"normalization":[123],"global":[125],"modulation.":[126],"further":[128],"enhance":[129],"anatomical":[130],"fidelity":[131],"by":[132,179],"applying":[133],"rotary":[134],"positional":[135],"tokens":[139],"performing":[141],"in":[143],"pre-trained":[145],"SDXL-VAE":[146],"latent":[147],"space":[148],"enable":[150],"efficient":[151],"high-resolution":[152],"reconstruction.":[153],"On":[154],"3,321":[155],"3T":[157],"T1-weighted":[158],"scans":[159],"from":[160],"712":[161],"participants":[162],"(259,038":[163],"slices),":[165],"achieves":[167],"SSIM":[168,181],"0.8739":[169],"PSNR":[171,185],"29.32":[172],"dB,":[173],"improving":[174],"baseline":[178],"+0.1087":[180],"+6.08":[183],"dB":[184],"while":[186],"capturing":[187],"progression-related":[188],"changes":[189],"such":[190],"ventricular":[192],"enlargement":[193],"shrinking":[195],"hippocampus.":[196],"These":[197],"results":[198],"suggest":[199],"that":[200],"integrating":[201],"comprehensive,":[202],"clinical":[204],"conditions":[205],"architectures":[207],"can":[208],"improve":[209]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-17T00:00:00"}