{"id":"https://openalex.org/W6907389512","doi":"https://doi.org/10.21227/8rze-np45","title":"Walnuts","display_name":"Walnuts","publication_year":2025,"publication_date":"2025-03-23","ids":{"openalex":"https://openalex.org/W6907389512","doi":"https://doi.org/10.21227/8rze-np45"},"language":"en","primary_location":{"id":"doi:10.21227/8rze-np45","is_oa":true,"landing_page_url":"https://doi.org/10.21227/8rze-np45","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/8rze-np45","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Gruber, Nadja","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gruber, Nadja","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"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":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5149000287055969},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4632999897003174},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43369999527931213},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.3700999915599823},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.3589000105857849},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34139999747276306},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.32749998569488525}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5149000287055969},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.47209998965263367},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44179999828338623},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43369999527931213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4327000081539154},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.3700999915599823},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3476000130176544},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.34150001406669617},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34139999747276306},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.32089999318122864},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28299999237060547},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2775000035762787},{"id":"https://openalex.org/C2776127602","wikidata":"https://www.wikidata.org/wiki/Q5038319","display_name":"Cardiac imaging","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C2909954168","wikidata":"https://www.wikidata.org/wiki/Q860755","display_name":"Digital image analysis","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/8rze-np45","is_oa":true,"landing_page_url":"https://doi.org/10.21227/8rze-np45","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/8rze-np45","is_oa":true,"landing_page_url":"https://doi.org/10.21227/8rze-np45","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Walnut":[0,42],"and":[1,36,48,58,72],"Heart":[2,50],"CT":[3,30,39,51],"Data":[4],"corresponding":[5],"to":[6],"Noisier2Inverse":[7],"consist":[8],"of":[9],"high-resolution":[10],"computed":[11],"tomography":[12],"(CT)":[13],"scans":[14,31],"used":[15],"for":[16],"evaluating":[17],"deep":[18],"learning-based":[19],"image":[20,66],"reconstruction":[21],"under":[22],"severe":[23],"noise":[24,76],"conditions.":[25],"The":[26,41,64,69],"dataset":[27],"includes":[28],"walnut":[29],"from":[32,45],"controlled":[33],"experimental":[34],"settings":[35],"clinical":[37],"cardiac":[38],"images.":[40],"data":[43,52,81],"stems":[44],"this":[46],"source:&nbsp;https://paperswithcode.com/dataset/cbct-walnut,":[47],"the":[49,75,80],"is":[53,59,77],"processed":[54],"in":[55,61],"python":[56],"before,":[57],"provided":[60],".pt":[62],"format.":[63],"origintal":[65],"stem":[67],"from&nbsp;https://www.kaggle.com/datasets/abbymorgan/heart-ct.":[68],"exact":[70],"preprocessing":[71],"also":[73],"how":[74],"put":[78],"on":[79,85],"can":[82],"be":[83],"found":[84],"our":[86],"Github&nbsp;https://github.com/Nadja1611/Noisier2Inverse-Joint-Denoising-and-Reconstruction-of-correlated-noise":[87]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
