{"id":"https://openalex.org/W4416136305","doi":"https://doi.org/10.1109/ipta66025.2025.11222045","title":"Utilization of Diffusion Models for Noise Reduction in Ultrasound Images","display_name":"Utilization of Diffusion Models for Noise Reduction in Ultrasound Images","publication_year":2025,"publication_date":"2025-10-13","ids":{"openalex":"https://openalex.org/W4416136305","doi":"https://doi.org/10.1109/ipta66025.2025.11222045"},"language":null,"primary_location":{"id":"doi:10.1109/ipta66025.2025.11222045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta66025.2025.11222045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fourteenth International Conference on Image Processing, Theory, Tools & Applications (IPTA)","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/A5120646331","display_name":"Branislav Setl\u00e1k","orcid":null},"institutions":[{"id":"https://openalex.org/I183764125","display_name":"Technical University of Ko\u0161ice","ror":"https://ror.org/05xm08015","country_code":"SK","type":"education","lineage":["https://openalex.org/I183764125"]}],"countries":["SK"],"is_corresponding":true,"raw_author_name":"Branislav Setl\u00e1k","raw_affiliation_strings":["Technical university of Košice,Department of Computers and Informatics,Košice,Slovakia"],"affiliations":[{"raw_affiliation_string":"Technical university of Košice,Department of Computers and Informatics,Košice,Slovakia","institution_ids":["https://openalex.org/I183764125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075926177","display_name":"Peter Drot\u00e1r","orcid":"https://orcid.org/0000-0002-6634-4696"},"institutions":[{"id":"https://openalex.org/I183764125","display_name":"Technical University of Ko\u0161ice","ror":"https://ror.org/05xm08015","country_code":"SK","type":"education","lineage":["https://openalex.org/I183764125"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Peter Drotar","raw_affiliation_strings":["Technical university of Košice,Department of Computers and Informatics,Košice,Slovakia"],"affiliations":[{"raw_affiliation_string":"Technical university of Košice,Department of Computers and Informatics,Košice,Slovakia","institution_ids":["https://openalex.org/I183764125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064825756","display_name":"Matej Gazda","orcid":"https://orcid.org/0000-0002-8405-7017"},"institutions":[{"id":"https://openalex.org/I183764125","display_name":"Technical University of Ko\u0161ice","ror":"https://ror.org/05xm08015","country_code":"SK","type":"education","lineage":["https://openalex.org/I183764125"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Matej Gazda","raw_affiliation_strings":["Technical university of Košice,Department of Computers and Informatics,Košice,Slovakia"],"affiliations":[{"raw_affiliation_string":"Technical university of Košice,Department of Computers and Informatics,Košice,Slovakia","institution_ids":["https://openalex.org/I183764125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120646331"],"corresponding_institution_ids":["https://openalex.org/I183764125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33635653,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.6991000175476074,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.6991000175476074,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.09430000185966492,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.017000000923871994,"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/speckle-noise","display_name":"Speckle noise","score":0.8152999877929688},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6796000003814697},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6535000205039978},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.598800003528595},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.5849999785423279},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5192000269889832},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5085999965667725},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4837000072002411},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4474000036716461},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.438400000333786}],"concepts":[{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.8152999877929688},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6796000003814697},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6535000205039978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6010000109672546},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.598800003528595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981000065803528},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.5849999785423279},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5825999975204468},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5192000269889832},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5085999965667725},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4837000072002411},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.438400000333786},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42179998755455017},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.3939000070095062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.3531000018119812},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.32429999113082886},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C2992165143","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Medical ultrasound","level":3,"score":0.3028999865055084},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.2662999927997589},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.26570001244544983},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.26249998807907104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25609999895095825},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta66025.2025.11222045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta66025.2025.11222045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fourteenth International Conference on Image Processing, Theory, Tools & Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7563439864","display_name":null,"funder_award_id":"APVV-23-0411","funder_id":"https://openalex.org/F4320323251","funder_display_name":"Agent\u00fara na Podporu V\u00fdskumu a V\u00fdvoja"}],"funders":[{"id":"https://openalex.org/F4320323251","display_name":"Agent\u00fara na Podporu V\u00fdskumu a V\u00fdvoja","ror":"https://ror.org/037nx0e70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2011434889","https://openalex.org/W2027231794","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2100495367","https://openalex.org/W2508457857","https://openalex.org/W2562637781","https://openalex.org/W2618530766","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2991372685","https://openalex.org/W3193594030","https://openalex.org/W4214806317","https://openalex.org/W4283836449","https://openalex.org/W4396712958","https://openalex.org/W4399939785","https://openalex.org/W4402716156","https://openalex.org/W4406814982","https://openalex.org/W4411114763","https://openalex.org/W4415800774"],"related_works":[],"abstract_inverted_index":{"The":[0,139],"presence":[1],"of":[2,47,74,161],"speckle":[3,56,81],"noise":[4,70,78,137],"in":[5,12,122],"ultrasound":[6,52],"images":[7,53],"poses":[8],"a":[9,72,86],"significant":[10,146],"challenge":[11],"medical":[13,37,149],"imaging,":[14],"as":[15],"it":[16,128],"degrades":[17],"both":[18],"image":[19,125,150],"quality":[20],"and":[21,76,106,132,163],"diagnostic":[22],"usability.":[23],"Traditional":[24],"denoising":[25,51],"methods":[26],"sometimes":[27],"struggle":[28],"to":[29,79,90,157],"preserve":[30],"the":[31,44,60,66,96,100,116,159],"fine":[32,124],"details":[33],"crucial":[34],"for":[35,50,148],"accurate":[36],"diagnosis.":[38],"In":[39],"this":[40],"study,":[41],"we":[42,84],"explore":[43],"potential":[45,147],"usage":[46],"diffusion":[48,62,118,143],"models":[49,144],"affected":[54],"by":[55,64],"noise.":[57,82],"We":[58,94],"modify":[59],"base":[61],"model":[63,92,119,164],"replacing":[65],"commonly":[67],"used":[68],"Gaussian":[69],"with":[71,130],"combination":[73],"multiplicative":[75],"additive":[77],"simulate":[80],"Furthermore,":[83],"use":[85],"custom":[87],"loss":[88],"function":[89],"guide":[91],"training.":[93],"evaluate":[95],"model's":[97],"performance":[98],"using":[99],"metrics":[101],"Peak":[102],"Signal-to-Noise":[103],"Ratio":[104],"(PSNR)":[105],"Structural":[107],"Similarity":[108],"Index":[109],"Measure":[110],"(SSIM).":[111],"Our":[112],"results":[113],"indicate":[114],"that":[115,142],"modified":[117],"shows":[120],"promise":[121],"preserving":[123],"details,":[126],"though":[127],"struggles":[129],"hallucinations":[131,162],"instability,":[133],"especially":[134],"at":[135],"higher":[136],"levels.":[138],"findings":[140],"suggest":[141],"have":[145],"denoising,":[151],"but":[152],"further":[153],"improvements":[154],"are":[155],"necessary":[156],"address":[158],"challenges":[160],"robustness.":[165]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-10T00:00:00"}