{"id":"https://openalex.org/W7126013047","doi":"https://doi.org/10.1109/icfsp67350.2025.11353859","title":"Densely Connected Residual U-Net: Computed Tomography Reconstructed Image Enhancement and Artifact Removal","display_name":"Densely Connected Residual U-Net: Computed Tomography Reconstructed Image Enhancement and Artifact Removal","publication_year":2025,"publication_date":"2025-09-10","ids":{"openalex":"https://openalex.org/W7126013047","doi":"https://doi.org/10.1109/icfsp67350.2025.11353859"},"language":null,"primary_location":{"id":"doi:10.1109/icfsp67350.2025.11353859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp67350.2025.11353859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Frontiers of Signal Processing (ICFSP)","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/A5124242354","display_name":"Rekha","orcid":null},"institutions":[{"id":"https://openalex.org/I26604189","display_name":"Shiv Nadar University","ror":"https://ror.org/05aqahr97","country_code":"IN","type":"education","lineage":["https://openalex.org/I26604189"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rekha","raw_affiliation_strings":["Shiv Nadar Institution of Eminence,Department of Mathematics,Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shiv Nadar Institution of Eminence,Department of Mathematics,Delhi,India","institution_ids":["https://openalex.org/I26604189"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Santosh Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I26604189","display_name":"Shiv Nadar University","ror":"https://ror.org/05aqahr97","country_code":"IN","type":"education","lineage":["https://openalex.org/I26604189"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santosh Singh","raw_affiliation_strings":["Shiv Nadar Institution of Eminence,Department of Mathematics,Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shiv Nadar Institution of Eminence,Department of Mathematics,Delhi,India","institution_ids":["https://openalex.org/I26604189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124176191","display_name":"S. K. Neogy","orcid":null},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. K. Neogy","raw_affiliation_strings":["Indian Statistical Institute,Centre for Research on Economics and Data Analysis (CREDA),New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute,Centre for Research on Economics and Data Analysis (CREDA),New Delhi,India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6699061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.7037000060081482,"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":0.7037000060081482,"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":0.10109999775886536,"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"}},{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.061000000685453415,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6729999780654907},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6320000290870667},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6025999784469604},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5893999934196472},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5544000267982483},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4887999892234802},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45170000195503235},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4361000061035156},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4113999903202057}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7757999897003174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7283999919891357},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6729999780654907},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6320000290870667},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6025999784469604},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5893999934196472},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5544000267982483},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4887999892234802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4779999852180481},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4361000061035156},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4113999903202057},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4058000147342682},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3546999990940094},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3319000005722046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C41578188","wikidata":"https://www.wikidata.org/wiki/Q2142395","display_name":"Reconstruction filter","level":5,"score":0.305400013923645},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C78087231","wikidata":"https://www.wikidata.org/wiki/Q5156759","display_name":"Composite image filter","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.28519999980926514},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2842000126838684},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2653000056743622}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icfsp67350.2025.11353859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp67350.2025.11353859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4067995846271515}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320767","display_name":"University Grants Commission","ror":"https://ror.org/04p800546"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1999051088","https://openalex.org/W1999320095","https://openalex.org/W2133665775","https://openalex.org/W2527841944","https://openalex.org/W2802168062","https://openalex.org/W2939975982","https://openalex.org/W2943568678","https://openalex.org/W2981500735","https://openalex.org/W2998784361","https://openalex.org/W3040231701","https://openalex.org/W3047011367","https://openalex.org/W3091865411","https://openalex.org/W3129492101","https://openalex.org/W4226018553","https://openalex.org/W4226154499","https://openalex.org/W4380244216","https://openalex.org/W4386475801","https://openalex.org/W4402992877"],"related_works":[],"abstract_inverted_index":{"Historically,":[0],"in":[1,71,79,109,166],"the":[2,15,20,27,33,54,62,72,77,82,102,107,110,144,150,174,194,199,205],"computed":[3],"tomography":[4],"(CT)":[5],"image":[6,58,73,103,130,201],"reconstruction":[7,59],"technique,":[8],"X-ray":[9],"dose":[10],"reduction":[11],"has":[12],"always":[13],"been":[14,44,49],"central":[16],"research":[17],"focus":[18],"with":[19,51,122,156],"best":[21],"quality":[22,74,104,202],"reconstructed":[23,111,145,170,200],"images.":[24,135],"Most":[25],"of":[26,35,53,75,96,192],"efforts":[28],"are":[29],"centered":[30],"on":[31],"reducing":[32,204],"number":[34],"projection":[36,159],"data":[37],"required":[38],"for":[39,129,132,148],"reconstruction.":[40],"Many":[41],"algorithms":[42,78],"have":[43,48,117,137,162],"proposed,":[45],"and":[46,105,147,179,203],"results":[47,141,165,184],"compared":[50],"most":[52],"commercially":[55],"successful":[56],"CT":[57,112,134],"algorithms,":[60],"i.e.,":[61],"filter":[63,83],"backprojection":[64,84,152],"algorithm.":[65,85],"Still,":[66],"there":[67],"is":[68,98,154,190],"a":[69,89,94,119],"gap":[70],"all":[76],"comparison":[80,167],"to":[81,100,143,168],"To":[86],"overcome":[87],"such":[88],"gap,":[90],"another":[91],"step":[92],"as":[93],"part":[95],"postprocessing":[97],"performed":[99],"enhance":[101],"remove":[106],"artifacts":[108],"images.In":[113],"this":[114],"paper,":[115],"we":[116],"proposed":[118],"U-Net-Based":[120],"model":[121,189],"an":[123],"added":[124],"local":[125],"residual":[126],"learning":[127],"technique":[128],"enhancement":[131,140],"few-view":[133],"We":[136,161],"shown":[138],"our":[139,164,188],"applied":[142],"images,":[146],"reconstruction,":[149],"filtered":[151],"algorithm":[153],"used":[155],"minimal":[157],"possible":[158],"data.":[160],"quantified":[163],"ground-truth":[169],"images":[171],"by":[172,197],"using":[173],"peak":[175],"signal-to-noise":[176],"ratio":[177],"(PSNR)":[178],"structural":[180],"similarity":[181],"index(SSIM).":[182],"The":[183],"clearly":[185],"show":[186],"that":[187],"capable":[191],"capturing":[193],"essential":[195],"features":[196],"enhancing":[198],"artifacts.":[206]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-30T00:00:00"}