{“id”:“https://openalex.org/W2990014955“,”doi“:”https://doi.org/10.1007/978-3-030-34872-4-5“,”title“:”Bayesian Deep Learning for Deformable Medical Image Registration“,”display_name“:”贝叶斯Deep Learning for Deformable Medical Image Regission“,”publication_year“:2019,”publitation_date“:”2019-01-01“,”ids“:{”openalex“:”https://openalex.org/W2990014955“,”doi“:”https://doi.org/10.1007/978-3-030-34872-4-5“,”mag“:”2990014955“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-030-34872-4-5“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”host_organization_name“:”施普林格科学+商业媒体“,”host_organization_lineage“:[”https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”book-chapter“,”type_crossref“:“book-chapter”,”indexed_in“:[“crossref”],”open_access“:{”is_oa“:false”“,”oa_url“:空,”any_repository_has_fulltext“:false},”作者身份“:[{”作者位置“:”第一个“,”作者“:{”id“:”https://openalex.org/A5073602784“,”display_name“:”Vijay S.Deshpande“,”orcid“:”https://orcid.org/0000-0003-1991-3929},“机构”:[{“id”:https://openalex.org/I4210100893“,”display_name“:”印度瓦都达拉信息技术学院“,”ror“:”https://ror.org/0163rt176“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I4210100893“]}],”countries“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Vijay S.Deshpande“,”raw_affiation_strings“:[”印度瓦都达拉印度信息技术研究所“]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5001216338“,”display_name“:”Jignesh S.Bhatt“,”orcid“:”https://orcid.org/0000-0003-4468-7994},“机构”:[{“id”:https://openalex.org/I4210100893“,”display_name“:”印度瓦都达拉信息技术学院“,”ror“:”https://ror.org/0163rt176“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I4210100893“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Jignesh S.Bhatt“,”raw _affiliation_strings“:[“印度瓦多达拉印度信息技术学院”]}]“countries_distict_count”:1,”institutions_distinct_count“:1,“corresponding_author_ids”:[],“correcponding_institution_ids“:[]”,“apc_list”:{“value”:5000,“currency”:“EUR”,“”value_usd“:5392,”provenance“:”doaj“},”apc_payed“:{”value“:5000,”currency“:”EUR“,”value_usd:5392,“provenance”:“doaj”},“has_fulltext”:false,“cited_by_count”:10,“cited_by_percentile_year”:{“min”:87,“max”:88},《图书》:{卷:null,“issue”:null、“first_page”:“41”,“last_page”:“49”},“is_retracted”:false,“is_paratext”:false,“primary_topic”:{“id”:“https://openalex.org/T10052“,”display_name“:”图像分割技术“,”score“:0.9997,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10052“,”display_name“:”图像分割技术“,”score“:0.9997,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T14510“,”“display_name”:“自动脊柱分割和识别”,“score”:0.9991,“subfield”:{“id”:“https://openalex.org/subfields/2204“,”display_name“:”生物医学工程“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10522“,”“display_name”:“肿瘤正电子发射断层成像”,“score”:0.9967,“subfield”:{“id”:“https://openalex.org/subfields/2741“,”“display_name”:“放射、核医学和成像”},“字段”:{“id”:“https://openalex.org/fields/27“,”display_name“:”Medicine“},”domain“:{”id“:”https://openalex.org/domains/4“,”display_name“:”Health Sciences“}}],”keywords“:[{”id“:”https://openalex.org/keywords/dormable-image-registration网址“,”display_name“:”可变形图像配准“,”score“:0.685481},{”id“:”https://openalex.org/keywords/medical-image-analysis网站“,”display_name“:”医学图像分析“,”score“:0.570042},{”id“:”https://openalex.org/keywords/image-segmentation网站“,”display_name“:”图像分割“,”score“:0.563984},{”id“:”https://openalex.org/keywords/imaging网站“,”display_name“:”Imaging“,”score“:0.552258},{”id“:”https://openalex.org/keywords/脊椎动物检测“,”display_name“:”脊椎检测“,”score“:0.55184}],”concepts“:[{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.8059467},{”id“:”https://openalex.org/C110384440,“wikidata”:https://www.wikidata.org/wiki/Q1143270“,”display_name“:”Upsampling“,”level“:3,”score“:0.78364},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.762383},{”id“:”https://openalex.org/C31972630,“wikidata”:https://www.wikidata.org/wiki/Q844240“,”display_name“:”计算机视觉“,”level“:1,”score“:0.5593688},{”id“:”https://openalex.org/C166704113,“wikidata”:https://www.wikidata.org/wiki/Q861092“,”display_name“:”图像注册“,”level“:3,”score“:0.49732712},{”id“:”https://openalex.org/C81363708,“wikidata”:https://www.wikidata.org/wiki/Q17084460“,”display_name“:”卷积神经网络“,”level“:2,”score“:0.45686433},{”id“:”https://openalex.org/C107673813,“wikidata”:https://www.wikidata.org/wiki/Q812534“,”display_name“:”贝叶斯概率“,”level“:2,”score“:0.44360113},{”id“:”https://openalex.org/C108583219,“wikidata”:https://www.wikidata.org/wiki/Q197536“,”display_name“:”深度学习“,”level“:2,”score“:0.44227374},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.44019547},{”id“:”https://openalex.org/C115961682,“wikidata”:https://www.wikidata.org/wiki/Q860623“,”display_name“:”Image(mathematics)“,”level“:2,”score“:0.31747627}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-030-34872-4-5“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”host_organization_name“:”施普林格科学+商业媒体“,”host_organization_lineage“:[”https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:nuld,“sustainable_development_goals”:[{“score”:0.41,“id”:“https://metadata.un.org/sdg/11“,”display_name“:”可持续城市和社区“}],”grants“:[],”datasets“:【】,”versions“:【],”referenced_works_count“:13,”referrenced_works“:[”https://openalex.org/W1973207880","https://openalex.org/W2029098063","https://openalex.org/W2065319605","https://openalex.org/W2115167851","https://openalex.org/W2133665775","https://openalex.org/W2160754664","https://openalex.org/W2344270078","https://openalex.org/W2608822622","https://openalex.org/W2806695658","https://openalex.org/W2963904328","https://openalex.org/W3098269293","https://openalex.org/W4211049957","https://openalex.org/W4230343784“],”related_works“:[”https://openalex.org/W4312417841","https://openalex.org/W4226493464","https://openalex.org/W3193565141","https://openalex.org/W3167935049","https://openalex.org/W3133861977","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2951211570","https://openalex.org/W2607795551","https://openalex.org/W2062399876“],”ngrams_url“:”https://api.openalex.org/works/W2990014955/ngrams“,”“abstract_inverted_index”:{“Deformable”:[0],“image”:[1,76,80152],“registration”:[2],“is”:[3,71],“one”:[4],“of”:[5,64,87111138],“the”:[6,19,29,51,74,78,84133139145150159165169179],“challengengesting”:[7],“inverse”:[8],“problems”:[9],“in”:[10,47],“medical”:[11,52],“images”:[12,12]5.53],“到期”:[13],“至”:[14,28,49,72148197],“不可避免”:[15],“几何“:[16,59],“扭曲”:[17],“期间”:[18],“成像”。“:[20],”常规“:[21],”卷积“:[22],”神经“:[23],”网络“:[24],”(CNN)“:[25],”是“:[26,55176],”有限“:[27],”固定“:[30],”权重“:[31],”和“:[32,66104121174],”需要“:[33],”实质“:[34],”示例“:[35],”代表“:[36],”监督“:[37],”培训。“:[38],”In“:[39],”this“:[40,91],”paper“:[41],”we“:[2,93],”employee“:[43],”Bayesian“:[44,97161],”deep“:[P5,98162],”learning“:[46],”order“:[48],”register“:50,73],”that“:[54100158],”corrupt“:[56],”by“:[57117],”normal“:[58],”distorations“。“:[60],”给定“:[61],”a“:[62,95],”对“:[63],”引用“:[65,79],”移动“:[67,75,88140151],”图像,“:[68],”我们的“:[69],”目标“:[70],”到“:[77],”坐标“:[81],”while“:[82],”保持“:[83],”像素“:[85],”分布“:[86167],”图片。“:[89141],”致“:[90],”结束“:[92],”提议“:[94],”新颖“:[96],”体系结构“:[99131163],”包含“:[101],”5“:[102],”下采样“:[103],”4“:[105],”上采样“:[106],”层“:[107],”带“:[108112],”内核“:[109],”大小“:[110],”3“:[112115],”$$\\times“:[113],”$$”:[114],“交错”:[116],“池化”:[118],“层”:[119],“tanh”:[121],“整流”:[123],“线性”:[124],“单位”:[125],“(ReLU)”:[126],“as”:[127],“激活”:[128],“函数。”:[129],“The”:[130189],“estimates”:[132],“位移”:[134],“向量”:[135],“字段”:[136],“DVF”:[137],“Finally”:[142],“it”:[143],“belows”:[144],“grid”:[146],“重采样”:[147],“扭曲”:[149],“使用”:[153],“估计”:[154],“DVF.”:[155],“我们”:[156],“演示”:[157],“提议”:[160190],“学习”:[164],“概率”:[166],“超过”:[168],“重量”:[170],“产生”:[172],“准确”:[173],“注册”:[174],“实验”:[175],“执行”:[177],“开启”:[178],“公开”:[180],“可用”:[181],“心脏”:[182],“MRI”:[183],“肺部”:[185],“CT”:[186],“扫描”:[187],“数据集”:[188],“模型”:[191],“实现”:[192],“更好”:[193],“性能”:[194],“何时”:[195],“比较”:[196],“最先进”:[198],“方法”:[199]},“引用_by_api_url”:“https://api.openalex.org/works?filter=cites:W2990014955“,”counts_by_year“:[{”年“:2024,”cited_by_count“:1},{”年份“:2023,”cited_by_count”:3},},“年份”:2022,”citecd_by_count“:2},”{“年”:2021,”citted_by_count“:4}],”updated_date“:”2024-06-10T16:33:56.356221“,”created_dates“:”2019-12-05“}”