{"id":"https://openalex.org/W7126080510","doi":"https://doi.org/10.1109/bibm66473.2025.11356343","title":"Probabilistic Image Registration Framework Using Self-Normalized Importance Sampling with Variance Reduction","display_name":"Probabilistic Image Registration Framework Using Self-Normalized Importance Sampling with Variance Reduction","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126080510","doi":"https://doi.org/10.1109/bibm66473.2025.11356343"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101962237","display_name":"Yong Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Hua","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092018594","display_name":"Xuan Yang","orcid":"https://orcid.org/0000-0002-1878-0442"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Yang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"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":"2265","last_page":"2272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.4341000020503998,"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":0.4341000020503998,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.057500001043081284,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.03590000048279762,"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/image-registration","display_name":"Image registration","score":0.6647999882698059},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6448000073432922},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.612500011920929},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5981000065803528},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5238000154495239},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4812999963760376},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4618000090122223},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.41990000009536743},{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.415800005197525}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6647999882698059},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6448000073432922},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.612500011920929},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5981000065803528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5511000156402588},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5238000154495239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5037999749183655},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4812999963760376},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4618000090122223},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.415800005197525},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4108000099658966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3928999900817871},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33379998803138733},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.29420000314712524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.289900004863739},{"id":"https://openalex.org/C102592046","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage estimator","level":5,"score":0.28610000014305115},{"id":"https://openalex.org/C60782215","wikidata":"https://www.wikidata.org/wiki/Q3333679","display_name":"Probabilistic method","level":3,"score":0.2840999960899353},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2793999910354614},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.263700008392334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26019999384880066},{"id":"https://openalex.org/C94361409","wikidata":"https://www.wikidata.org/wiki/Q7882500","display_name":"Uncertainty reduction theory","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1668489018","display_name":null,"funder_award_id":"62201355,62071303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G321326031","display_name":null,"funder_award_id":"JCYJ20220531102407018","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2029098063","https://openalex.org/W2799913653","https://openalex.org/W2804047627","https://openalex.org/W2891631795","https://openalex.org/W2904555209","https://openalex.org/W2922479016","https://openalex.org/W3012852601","https://openalex.org/W3035486430","https://openalex.org/W3136762441","https://openalex.org/W3165578810","https://openalex.org/W3172614365","https://openalex.org/W4205182665","https://openalex.org/W4207026776","https://openalex.org/W4312809329","https://openalex.org/W4381597786","https://openalex.org/W4387225751","https://openalex.org/W4387225998","https://openalex.org/W4388718314","https://openalex.org/W4396914855","https://openalex.org/W4399046040","https://openalex.org/W4400003459"],"related_works":[],"abstract_inverted_index":{"Variational":[0],"inference":[1],"(VI)":[2],"based":[3],"image":[4,30,120],"registration":[5,31,109,140],"estimates":[6],"the":[7,11,39,56,59,63,69,73,76,81,90],"variational":[8],"posterior":[9,40],"of":[10,38,58,72,83],"displacement":[12],"vector":[13],"field":[14],"(DVF),":[15],"providing":[16],"uncertainty":[17],"information":[18],"and":[19,49,94,133],"demonstrating":[20],"potential":[21],"for":[22,62],"generalization":[23],"performance.":[24,114],"This":[25],"paper":[26],"proposes":[27],"a":[28,43,99],"probabilistic":[29,139],"framework":[32,101],"utilizing":[33],"self-normalized":[34],"importance":[35],"sampling":[36],"(NISAE)":[37],"to":[41,54,111,137],"achieve":[42],"tighter":[44],"evidence":[45],"lower":[46],"bound":[47],"(ELBO),":[48],"control":[50],"variates":[51],"are":[52],"introduced":[53],"reduce":[55],"variance":[57,87],"gradient":[60,70],"estimator":[61,71],"ELBO.":[64],"We":[65],"theoretically":[66],"prove":[67],"that":[68,102,123],"ELBO":[74],"improves":[75],"signal-to-noise":[77],"ratio":[78],"(SNR)":[79],"as":[80],"number":[82],"samples":[84],"increases.":[85],"The":[86],"reduction":[88],"ensures":[89],"training":[91,131],"converges":[92],"faster":[93],"stable.":[95],"Our":[96],"NISAE":[97,125],"is":[98],"general":[100],"can":[103],"be":[104],"combined":[105],"with":[106],"any":[107],"VIbased":[108],"model":[110],"improve":[112],"its":[113],"Extensive":[115],"experiments":[116],"on":[117,129],"public":[118],"cardiac":[119],"datasets":[121,135],"demonstrate":[122],"our":[124],"achieves":[126],"enhanced":[127],"performance":[128],"small":[130],"sets":[132],"cross-domain":[134],"compared":[136],"state-of-the-art":[138],"models.":[141]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-30T00:00:00"}