{"id":"https://openalex.org/W3132244724","doi":"https://doi.org/10.1109/icip42928.2021.9506067","title":"Unsupervised Medical Image Alignment With Curriculum Learning","display_name":"Unsupervised Medical Image Alignment With Curriculum Learning","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3132244724","doi":"https://doi.org/10.1109/icip42928.2021.9506067","mag":"3132244724"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.10438","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025572837","display_name":"Mihail Burduja","orcid":null},"institutions":[{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mihail Burduja","raw_affiliation_strings":["University of Bucharest,Faculty of Mathematics and Computer Science,Romania","University of Bucharest, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bucharest,Faculty of Mathematics and Computer Science,Romania","institution_ids":["https://openalex.org/I141595442"]},{"raw_affiliation_string":"University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I141595442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081017623","display_name":"Radu Tudor Ionescu","orcid":"https://orcid.org/0000-0002-9301-1950"},"institutions":[{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Radu Tudor Ionescu","raw_affiliation_strings":["University of Bucharest,Faculty of Mathematics and Computer Science,Romania","University of Bucharest, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bucharest,Faculty of Mathematics and Computer Science,Romania","institution_ids":["https://openalex.org/I141595442"]},{"raw_affiliation_string":"University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I141595442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141595442"],"apc_list":null,"apc_paid":null,"fwci":0.0955,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29249441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3787","last_page":"3791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.996999979019165,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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/curriculum","display_name":"Curriculum","score":0.8500739336013794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7065063118934631},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6486148238182068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6060941815376282},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5244788527488708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4694627821445465},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.4448772966861725},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4409828782081604},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43180716037750244},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.41734153032302856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.413700133562088},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18060222268104553},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14843744039535522},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10343849658966064},{"id":"https://openalex.org/keywords/pedagogy","display_name":"Pedagogy","score":0.06960827112197876}],"concepts":[{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.8500739336013794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7065063118934631},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6486148238182068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6060941815376282},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5244788527488708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4694627821445465},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.4448772966861725},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4409828782081604},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43180716037750244},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.41734153032302856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.413700133562088},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18060222268104553},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14843744039535522},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10343849658966064},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.06960827112197876},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icip42928.2021.9506067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2102.10438","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.10438","pdf_url":"https://arxiv.org/pdf/2102.10438","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:3132244724","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2102.10438","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2102.10438","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.10438","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.17023/mr2e-ke28","is_oa":true,"landing_page_url":"https://doi.org/10.17023/mr2e-ke28","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Audiovisual"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.10438","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.10438","pdf_url":"https://arxiv.org/pdf/2102.10438","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3132244724.pdf","grobid_xml":"https://content.openalex.org/works/W3132244724.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W764651262","https://openalex.org/W1901129140","https://openalex.org/W1963623641","https://openalex.org/W1985586071","https://openalex.org/W2049981393","https://openalex.org/W2069456254","https://openalex.org/W2081834074","https://openalex.org/W2083624955","https://openalex.org/W2095705004","https://openalex.org/W2140139548","https://openalex.org/W2153431772","https://openalex.org/W2155298532","https://openalex.org/W2170167891","https://openalex.org/W2259424905","https://openalex.org/W2296073425","https://openalex.org/W2528287124","https://openalex.org/W2752785527","https://openalex.org/W2753461941","https://openalex.org/W2781596748","https://openalex.org/W2787740020","https://openalex.org/W2910094941","https://openalex.org/W2915126261","https://openalex.org/W2962760235","https://openalex.org/W2966108228","https://openalex.org/W2983976417","https://openalex.org/W3098269293","https://openalex.org/W3100018800","https://openalex.org/W3100388886","https://openalex.org/W3103356833","https://openalex.org/W3123742938","https://openalex.org/W4231090517","https://openalex.org/W6618372016","https://openalex.org/W6639824700","https://openalex.org/W6674330103","https://openalex.org/W6744542874","https://openalex.org/W6745560452","https://openalex.org/W6758047254","https://openalex.org/W6759274242","https://openalex.org/W6780028523","https://openalex.org/W6789685426"],"related_works":["https://openalex.org/W3194757573","https://openalex.org/W3118599747","https://openalex.org/W3006563705","https://openalex.org/W2585554367","https://openalex.org/W2795697038","https://openalex.org/W2962957598","https://openalex.org/W2781907084","https://openalex.org/W2955568137","https://openalex.org/W2345837149","https://openalex.org/W3002711591","https://openalex.org/W2365750411","https://openalex.org/W3174759195","https://openalex.org/W3003795127","https://openalex.org/W2160644528","https://openalex.org/W3005771850","https://openalex.org/W3159508755","https://openalex.org/W3039229708","https://openalex.org/W2913881416","https://openalex.org/W3003220542","https://openalex.org/W3094975698"],"abstract_inverted_index":{"We":[0],"explore":[1],"different":[2],"curriculum":[3,43,72,76,79,127,142,156],"learning":[4,73,123,128,157],"methods":[5],"for":[6],"training":[7,37,49,54,114],"convolutional":[8],"neural":[9],"networks":[10],"on":[11],"the":[12,22,29,52,59,62,65,83,103,112,147,154],"task":[13],"of":[14,24,61],"deformable":[15],"pairwise":[16],"3D":[17],"medical":[18,38],"image":[19,39],"registration.":[20],"To":[21],"best":[23,148],"our":[25],"knowledge,":[26],"we":[27,68,86,139],"are":[28],"first":[30,53],"to":[31,33,93,97,108,131,135],"attempt":[32],"improve":[34],"performance":[35],"by":[36,80,143],"registration":[40],"models":[41],"using":[42],"learning,":[44],"starting":[45],"from":[46],"an":[47,119],"easy":[48],"setup":[50],"in":[51,111],"stages,":[55],"and":[56,78,90],"gradually":[57,106],"increasing":[58],"complexity":[60],"setup.":[63],"On":[64,82],"one":[66],"hand,":[67,85],"consider":[69],"two":[70],"existing":[71],"approaches,":[74],"namely":[75,96],"dropout":[77],"smoothing.":[81],"other":[84],"propose":[87],"a":[88],"novel":[89],"simple":[91],"strategy":[92],"achieve":[94],"curriculum,":[95],"use":[98],"purposely":[99],"blurred":[100],"images":[101,110],"at":[102],"beginning,":[104],"then":[105],"transit":[107],"sharper":[109],"later":[113],"stages.":[115],"Our":[116],"experiments":[117],"with":[118],"underlying":[120],"state-of-the-art":[121],"deep":[122],"model":[124],"show":[125,140],"that":[126,141],"can":[129],"lead":[130],"superior":[132],"results":[133],"compared":[134,155],"conventional":[136],"training.":[137],"Additionally,":[138],"input":[144],"blur":[145],"has":[146],"accuracy":[149],"versus":[150],"speed":[151],"trade-off":[152],"among":[153],"approaches.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}