{"id":"https://openalex.org/W2421923334","doi":"https://doi.org/10.1109/isbi.2016.7493373","title":"Predict CT image from MRI data using KNN-regression with learned local descriptors","display_name":"Predict CT image from MRI data using KNN-regression with learned local descriptors","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2421923334","doi":"https://doi.org/10.1109/isbi.2016.7493373","mag":"2421923334"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","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/A5070483964","display_name":"Liming Zhong","orcid":"https://orcid.org/0000-0002-0048-7838"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Zhong","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101690718","display_name":"Liyan Lin","orcid":"https://orcid.org/0000-0003-0394-339X"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyan Lin","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012139704","display_name":"Zhentai Lu","orcid":"https://orcid.org/0000-0002-2128-6090"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhentai Lu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103248906","display_name":"Yao Wu","orcid":"https://orcid.org/0009-0006-6251-6549"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Wu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028481528","display_name":"Zixiao Lu","orcid":"https://orcid.org/0000-0003-0809-8703"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixiao Lu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083537717","display_name":"Meiyan Huang","orcid":"https://orcid.org/0000-0003-2138-9580"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyan Huang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044127793","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0002-2161-3231"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109012747","display_name":"Qianjing Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianjing Feng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I58200834"],"apc_list":null,"apc_paid":null,"fwci":2.6215,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.8903814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"743","last_page":"746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9994999766349792,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9994999766349792,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9983999729156494,"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":0.994700014591217,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7239362001419067},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5978901386260986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5894615650177002},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.47891390323638916},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4777887761592865},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.46326425671577454},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3245702385902405}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7239362001419067},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5978901386260986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5894615650177002},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.47891390323638916},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4777887761592865},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.46326425671577454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3245702385902405}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2016.7493373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W306238789","https://openalex.org/W1954309418","https://openalex.org/W1969750491","https://openalex.org/W1984473052","https://openalex.org/W1985258161","https://openalex.org/W2015897296","https://openalex.org/W2035397698","https://openalex.org/W2057743740","https://openalex.org/W2086284908","https://openalex.org/W2096305085","https://openalex.org/W2100495482","https://openalex.org/W2124386111","https://openalex.org/W2223436381","https://openalex.org/W4285719527","https://openalex.org/W6610711793","https://openalex.org/W6640893105"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W3097449145","https://openalex.org/W2561617217","https://openalex.org/W2025378473","https://openalex.org/W2355801475","https://openalex.org/W4206659427","https://openalex.org/W2375795576","https://openalex.org/W2062957446","https://openalex.org/W2147397890","https://openalex.org/W2166213322"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1],"of":[2,46,64,71,87,105,108],"CT":[3,35,65,113,124,135],"image":[4,36,49],"from":[5,37,126],"MRI":[6,38,111,127],"data":[7,128],"is":[8,99],"clinically":[9],"desired":[10],"for":[11,134],"attenuation":[12],"correction":[13],"in":[14,22,53],"PET/MR":[15],"hybrid":[16],"imaging":[17],"systems":[18],"and":[19,62,79,91,112,129],"dose":[20],"planning":[21],"MR-based":[23],"radiation":[24],"therapy.":[25],"We":[26],"present":[27],"a":[28,102],"k-nearest":[29],"neighbor":[30],"(KNN)-regression":[31],"method":[32,42,98,120],"to":[33,69,82,92],"predict":[34,123],"data.":[39],"In":[40],"this":[41],"the":[43,54,60,84,118],"nearest":[44],"neighbors":[45],"each":[47],"MR":[48],"patch":[50,90],"are":[51],"searched":[52],"constraint":[55],"spatial":[56],"range.":[57],"To":[58],"improve":[59],"accuracy":[61],"efficiency":[63],"prediction,":[66],"we":[67],"propose":[68],"use":[70],"supervised":[72],"descriptor":[73,86],"learning":[74],"based":[75],"on":[76,101],"low-rank":[77],"approximation":[78],"manifold":[80],"regularization":[81],"optimize":[83],"local":[85],"an":[88],"MRimage":[89],"reduce":[93],"its":[94],"dimensionality.":[95],"The":[96],"proposed":[97,119],"evaluated":[100],"dataset":[103],"consisting":[104],"13":[106],"subjects":[107],"paired":[109],"brain":[110],"images.":[114],"Result":[115],"shows":[116],"that":[117],"can":[121],"effectively":[122],"images":[125],"outperforms":[130],"two":[131],"state-of-the-art":[132],"methods":[133],"prediction.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}