{"id":"https://openalex.org/W4408996984","doi":"https://doi.org/10.3390/jimaging11040104","title":"Evaluating Super-Resolution Models in Biomedical Imaging: Applications and Performance in Segmentation and Classification","display_name":"Evaluating Super-Resolution Models in Biomedical Imaging: Applications and Performance in Segmentation and Classification","publication_year":2025,"publication_date":"2025-03-29","ids":{"openalex":"https://openalex.org/W4408996984","doi":"https://doi.org/10.3390/jimaging11040104","pmid":"https://pubmed.ncbi.nlm.nih.gov/40278020"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11040104","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11040104","pdf_url":"https://www.mdpi.com/2313-433X/11/4/104/pdf?version=1743238237","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/4/104/pdf?version=1743238237","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114960833","display_name":"Mario Amoros","orcid":"https://orcid.org/0009-0006-6502-8225"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mario Amoros","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Alicante, Campus de San Vicente del Raspeig, Ap. Correos 99, E-03080 Alicante, Spain"],"raw_orcid":"https://orcid.org/0009-0006-6502-8225","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Alicante, Campus de San Vicente del Raspeig, Ap. Correos 99, E-03080 Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018766726","display_name":"Manuel Curado","orcid":"https://orcid.org/0000-0003-2307-1760"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Manuel Curado","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Alicante, Campus de San Vicente del Raspeig, Ap. Correos 99, E-03080 Alicante, Spain"],"raw_orcid":"https://orcid.org/0000-0003-2307-1760","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Alicante, Campus de San Vicente del Raspeig, Ap. Correos 99, E-03080 Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011732149","display_name":"Jos\u00e9 F. Vicent","orcid":"https://orcid.org/0000-0002-2990-1879"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose F. Vicent","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Alicante, Campus de San Vicente del Raspeig, Ap. Correos 99, E-03080 Alicante, Spain"],"raw_orcid":"https://orcid.org/0000-0002-2990-1879","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Alicante, Campus de San Vicente del Raspeig, Ap. Correos 99, E-03080 Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018766726"],"corresponding_institution_ids":["https://openalex.org/I130194489"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":6.0261,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96157732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"4","first_page":"104","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9847999811172485,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.8162934184074402},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6815206408500671},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6203894019126892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5728228688240051},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5689423680305481},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43385636806488037},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4177801012992859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39906609058380127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34139102697372437},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21473339200019836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162934184074402},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6815206408500671},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6203894019126892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5728228688240051},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5689423680305481},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43385636806488037},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4177801012992859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39906609058380127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34139102697372437},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21473339200019836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging11040104","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11040104","pdf_url":"https://www.mdpi.com/2313-433X/11/4/104/pdf?version=1743238237","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:40278020","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40278020","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:32b5bda80c954497a981ec2967c837f6","is_oa":true,"landing_page_url":"https://doaj.org/article/32b5bda80c954497a981ec2967c837f6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 11, Iss 4, p 104 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12027580","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12027580","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging11040104","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11040104","pdf_url":"https://www.mdpi.com/2313-433X/11/4/104/pdf?version=1743238237","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408996984.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1885185971","https://openalex.org/W2060137297","https://openalex.org/W2064076387","https://openalex.org/W2141983208","https://openalex.org/W2166401924","https://openalex.org/W2766486317","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2896246551","https://openalex.org/W2903444831","https://openalex.org/W2919046835","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2970412293","https://openalex.org/W3013529009","https://openalex.org/W3027373908","https://openalex.org/W3046704483","https://openalex.org/W3069245681","https://openalex.org/W3207918547","https://openalex.org/W3208176997","https://openalex.org/W4210352025","https://openalex.org/W4283734048","https://openalex.org/W4308055694","https://openalex.org/W4316036216","https://openalex.org/W4319300887","https://openalex.org/W4404927271"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W188202134","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W2005223122"],"abstract_inverted_index":{"Super-resolution":[0],"(SR)":[1],"techniques":[2],"have":[3],"gained":[4],"traction":[5],"in":[6,27,89,117],"biomedical":[7,141],"imaging":[8,142],"for":[9,65,136],"their":[10,57],"ability":[11],"to":[12],"enhance":[13,111],"image":[14,126],"quality.":[15],"However,":[16],"it":[17],"remains":[18],"unclear":[19],"whether":[20],"these":[21],"improvements":[22],"translate":[23],"into":[24,139],"better":[25],"performance":[26,64,115],"clinical":[28,114,131],"tasks.":[29],"In":[30],"this":[31],"study,":[32],"we":[33,74,85],"provide":[34],"a":[35],"comprehensive":[36],"evaluation":[37],"of":[38],"state-of-the-art":[39],"SR":[40,77,97,138],"models-including":[41],"CNN-":[42],"and":[43,53,62,71,84,129],"Transformer-based":[44],"architectures-by":[45],"assessing":[46],"not":[47],"only":[48],"visual":[49],"quality":[50,127],"metrics":[51],"(PSNR":[52],"SSIM)":[54],"but":[55],"also":[56],"downstream":[58],"impact":[59],"on":[60],"segmentation":[61],"classification":[63],"lung":[66],"CT":[67],"scans.":[68],"Using":[69],"U-Net":[70],"ResNet":[72],"architectures,":[73],"quantify":[75],"how":[76],"influences":[78],"diagnostic":[79,103],"tasks":[80],"across":[81],"different":[82],"datasets,":[83],"evaluate":[86],"model":[87],"generalization":[88],"cross-domain":[90],"settings.":[91],"Our":[92],"findings":[93],"show":[94],"that":[95],"advanced":[96],"models":[98],"such":[99],"as":[100],"SwinIR":[101],"preserve":[102],"features":[104],"effectively":[105],"and,":[106],"when":[107],"appropriately":[108],"applied,":[109],"can":[110],"or":[112],"maintain":[113],"even":[116],"low-resolution":[118],"contexts.":[119],"This":[120],"work":[121],"bridges":[122],"the":[123],"gap":[124],"between":[125],"enhancement":[128],"practical":[130],"utility,":[132],"providing":[133],"actionable":[134],"insights":[135],"integrating":[137],"real-world":[140],"workflows.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
