{"id":"https://openalex.org/W3131194762","doi":"https://doi.org/10.1117/12.2581755","title":"3D U-net for registration of lung nodules in longitudinal CT scans","display_name":"3D U-net for registration of lung nodules in longitudinal CT scans","publication_year":2021,"publication_date":"2021-02-12","ids":{"openalex":"https://openalex.org/W3131194762","doi":"https://doi.org/10.1117/12.2581755","mag":"3131194762"},"language":"en","primary_location":{"id":"doi:10.1117/12.2581755","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Computer-Aided Diagnosis","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/A5042523583","display_name":"Aryan Ghazipour","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aryan Ghazipour","raw_affiliation_strings":["Univ. of Louisville (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Louisville (United States)","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036581178","display_name":"Benjamin Veasey","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Veasey","raw_affiliation_strings":["Univ. of Louisville (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Louisville (United States)","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070055160","display_name":"Albert Seow","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Albert Seow","raw_affiliation_strings":["Univ. of Louisville (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Louisville (United States)","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005411439","display_name":"Amir A. Amini","orcid":"https://orcid.org/0000-0001-9698-8989"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir Amini","raw_affiliation_strings":["Univ. of Louisville (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Louisville (United States)","institution_ids":["https://openalex.org/I142740786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042523583"],"corresponding_institution_ids":["https://openalex.org/I142740786"],"apc_list":null,"apc_paid":null,"fwci":0.1375,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44601673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"98"},"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":0.9980999827384949,"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":0.9980999827384949,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9502999782562256,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6035334467887878},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5735939741134644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5006349086761475},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4765801429748535},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.46175241470336914},{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.4135955572128296},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.40251481533050537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33398523926734924},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.28740498423576355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1677558720111847},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08332976698875427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6035334467887878},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5735939741134644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5006349086761475},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4765801429748535},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.46175241470336914},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.4135955572128296},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.40251481533050537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33398523926734924},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28740498423576355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1677558720111847},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08332976698875427},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2581755","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2092561569","https://openalex.org/W2377100155","https://openalex.org/W1964806738","https://openalex.org/W2793887421","https://openalex.org/W4389671191","https://openalex.org/W3153228984","https://openalex.org/W4243779904","https://openalex.org/W2332066440","https://openalex.org/W4247453431"],"abstract_inverted_index":{"The":[0,116,197],"use":[1],"of":[2,26,61,66,126,134,138,150,184,193,204],"low-dose":[3],"Computed":[4],"Tomography":[5],"(CT)":[6],"has":[7,120,164],"been":[8,77,121,165],"effective":[9,122],"in":[10,23,41,49,58,84,108,123,141],"reducing":[11],"the":[12,20,24,64,71,132,153,182,191,210],"mortality":[13],"rate":[14,65],"due":[15],"to":[16,34,37,80,104,136,160,167,180,212],"lung":[17,43,139],"cancer.":[18],"With":[19],"rapid":[21],"increase":[22],"number":[25,183],"studies,":[27],"computer":[28],"aided":[29],"diagnosis":[30],"(CAD)":[31],"systems":[32],"need":[33],"be":[35],"developed":[36],"further":[38],"assist":[39],"radiologists":[40],"detecting":[42],"nodules":[44,140],"and":[45,68,101,176,186],"determining":[46,56],"their":[47],"malignancy":[48,57],"CT":[50,109,207],"scans.":[51],"An":[52],"important":[53],"factor":[54],"for":[55,111],"a":[59,91,112,148,170],"sequential":[60],"scans":[62,110,145],"is":[63],"change":[67,83,107],"growth.":[69],"In":[70,86],"past,":[72],"deformable":[73,124],"registration":[74,125,137],"techniques":[75],"have":[76],"widely":[78],"applied":[79],"assess":[81,105],"longitudinal":[82,106,205],"data.":[85],"this":[87],"paper":[88,130],"we":[89],"propose":[90],"new":[92],"deep":[93],"learning":[94],"system":[95],"based":[96,146],"on":[97,147],"Convolutional":[98],"Neural":[99],"Networks":[100],"U-Net":[102],"architecture":[103],"nodule":[113,206,214],"over":[114,216],"time.":[115,217],"VoxelMorph":[117,135,163],"network":[118,198],"[1]":[119],"brain":[127],"MRIs.":[128],"This":[129],"extends":[131],"application":[133],"multiple":[142],"time":[143],"point":[144],"subset":[149],"data":[151],"from":[152],"National":[154],"Lung":[155],"Screening":[156],"Trial":[157],"(NLST),":[158],"referred":[159],"as":[161],"NLSTx.":[162],"modified":[166],"include":[168],"both":[169],"sum-of-squared-differences":[171],"(SSD)":[172],"image":[173],"similarity":[174],"loss":[175],"spatial":[177],"domain":[178],"regularization":[179],"reduce":[181],"fold-overs":[185],"non-invertible":[187],"transformations,":[188],"indicated":[189],"by":[190],"presence":[192],"negative":[194],"Jacobian":[195],"determinants.":[196],"effectively":[199],"performs":[200],"3D":[201],"Deformable":[202],"Registration":[203],"scans,":[208],"providing":[209],"means":[211],"quantify":[213],"growth":[215]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}