{"id":"https://openalex.org/W4417473343","doi":"https://doi.org/10.1109/sipaim67325.2025.11283353","title":"Structure\u2013preserving restoration of low\u2013dose CT by means hybrid diffusion\u2013transformer architecture","display_name":"Structure\u2013preserving restoration of low\u2013dose CT by means hybrid diffusion\u2013transformer architecture","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W4417473343","doi":"https://doi.org/10.1109/sipaim67325.2025.11283353"},"language":null,"primary_location":{"id":"doi:10.1109/sipaim67325.2025.11283353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","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/A5120847966","display_name":"Antonio Jos\u00e9 Bravo","orcid":null},"institutions":[{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Antonio Jos\u00e9 Bravo","raw_affiliation_strings":["Universidad Simón Bolívar, Centro de Investigación en Biodiversidad y Cambio Climático,Facultad de Ciencias Básicas y Biomédicas,Barranquilla,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad Simón Bolívar, Centro de Investigación en Biodiversidad y Cambio Climático,Facultad de Ciencias Básicas y Biomédicas,Barranquilla,Colombia","institution_ids":["https://openalex.org/I2799978770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044159554","display_name":"M. Orozco","orcid":"https://orcid.org/0000-0003-0641-942X"},"institutions":[{"id":"https://openalex.org/I4210132036","display_name":"Universidad Sim\u00f3n Bol\u00edvar","ror":"https://ror.org/02njbw696","country_code":"CO","type":"education","lineage":["https://openalex.org/I4210132036"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Manuel Guillermo Orozco","raw_affiliation_strings":["Universidad Simón Bolívar Centro de Investigaciones en Ciencias de la Vida,Facultad de Ciencias Básicas y Biomédicas,Barranquilla,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad Simón Bolívar Centro de Investigaciones en Ciencias de la Vida,Facultad de Ciencias Básicas y Biomédicas,Barranquilla,Colombia","institution_ids":["https://openalex.org/I4210132036"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037333537","display_name":"Miguel Vera","orcid":"https://orcid.org/0000-0001-7167-6356"},"institutions":[{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Miguel Angel Vera","raw_affiliation_strings":["Universidad Simón Bolívar, MACONDOLAB,Facultad de Ciencias Básicas y Biomédicas,Cúcuta,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad Simón Bolívar, MACONDOLAB,Facultad de Ciencias Básicas y Biomédicas,Cúcuta,Colombia","institution_ids":["https://openalex.org/I2799978770"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120847966"],"corresponding_institution_ids":["https://openalex.org/I2799978770"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58334918,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.6046000123023987,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.6046000123023987,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.11599999666213989,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.1054999977350235,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5379999876022339},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5113999843597412},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.499099999666214},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.48080000281333923},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4754999876022339},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4672999978065491},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.45829999446868896},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4399000108242035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172999978065491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6212000250816345},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5379999876022339},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5113999843597412},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.499099999666214},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4672999978065491},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.45829999446868896},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4399000108242035},{"id":"https://openalex.org/C2778328480","wikidata":"https://www.wikidata.org/wiki/Q1639904","display_name":"Hybrid image","level":3,"score":0.392300009727478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3774999976158142},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.28870001435279846},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sipaim67325.2025.11283353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2150134853","https://openalex.org/W2527841944","https://openalex.org/W2584483805","https://openalex.org/W2978079668","https://openalex.org/W3009892721","https://openalex.org/W3138516171","https://openalex.org/W3203971980","https://openalex.org/W3207918547","https://openalex.org/W4281640569","https://openalex.org/W4291926369","https://openalex.org/W4390481654","https://openalex.org/W4411141600"],"related_works":[],"abstract_inverted_index":{"Low\u2013dose":[0],"computed":[1],"tomography":[2],"(LDCT)":[3],"is":[4],"widely":[5],"used":[6],"to":[7,15,62,144],"minimize":[8],"patient":[9],"radiation":[10],"exposure":[11],"but":[12],"often":[13],"leads":[14],"images":[16,182],"with":[17,51,113,124],"high":[18],"noise,":[19],"reduced":[20],"contrast,":[21],"and":[22,75,82,96,116,120,140,147,160,177],"structural":[23,158],"degradation,":[24],"potentially":[25],"affecting":[26],"diagnostic":[27],"accuracy.":[28],"We":[29,103],"introduce":[30],"SwinDiff,":[31],"a":[32,110],"novel":[33],"hybrid":[34,173],"diffusion\u2013Swin":[35],"Transformer":[36],"architecture":[37],"for":[38],"structure\u2013preserving":[39],"LDCT":[40,149,181],"restoration.":[41],"SwinDiff":[42,105,137],"combines":[43],"the":[44,90,97,121,165],"contextual":[45],"modeling":[46],"of":[47,93,100,180],"shifted\u2013window":[48],"self\u2013":[49],"attention":[50,60],"edge\u2013aware":[52],"denoising":[53],"via":[54],"anisotropic":[55],"diffusion,":[56],"applied":[57],"locally":[58],"within":[59],"windows":[61],"preserve":[63],"anatomical":[64],"details":[65],"while":[66],"attenuating":[67],"noise.":[68],"The":[69],"hierarchical":[70],"design":[71],"enhances":[72],"local":[73],"features":[74],"enforces":[76],"inter\u2013region":[77],"consistency":[78],"through":[79],"window":[80],"shifting":[81],"attention\u2013based":[83],"feature":[84],"fusion.":[85],"This":[86],"approach":[87],"leverages":[88],"both":[89],"geometric":[91],"priors":[92],"classical":[94],"diffusion":[95],"adaptive":[98],"strengths":[99],"Swin":[101],"Transformers.":[102],"evaluate":[104],"on":[106],"two":[107],"complementary":[108],"datasets:":[109],"synthetic":[111],"benchmark":[112],"paired":[114],"noisy":[115],"clean":[117],"CT":[118,131],"images,":[119],"LoDoPaB\u2013CT":[122],"dataset":[123],"simulated":[125],"low\u2013dose":[126],"measurements":[127],"derived":[128],"from":[129],"clinical":[130],"volumes.":[132],"Quantitative":[133],"results":[134],"show":[135],"that":[136,171],"achieves":[138],"PSNR":[139],"SSIM":[141],"scores":[142],"comparable":[143],"leading":[145],"CNN\u2013":[146],"Transformer\u2013based":[148],"models.":[150],"No\u2013reference":[151],"IQA":[152],"metrics":[153],"(NIQE,":[154],"BRISQUE)":[155],"confirm":[156],"improved":[157],"fidelity":[159],"effective":[161],"noise":[162],"attenuation":[163],"in":[164],"restored":[166],"images.":[167],"These":[168],"findings":[169],"demonstrate":[170],"our":[172],"model":[174],"provides":[175],"robust":[176],"generalizable":[178],"restoration":[179],"across":[183],"diverse":[184],"datasets.":[185]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-18T00:00:00"}