首页 > 最新文献

DLMIA/ML-CDS@MICCAI最新文献

英文 中文
Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy Detection 基于堆叠卷积自编码器、Siamese网络和Wasserstein自编码器的无监督特征学习异常点检测:在癫痫检测中的应用
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-20 DOI: 10.1007/978-3-030-00889-5_24
Zara Alaverdyan, Jiazheng Chai, C. Lartizien
{"title":"Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy Detection","authors":"Zara Alaverdyan, Jiazheng Chai, C. Lartizien","doi":"10.1007/978-3-030-00889-5_24","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_24","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116892298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification 原始CT图像双通道多尺度残差网络及其差分激励分量肺气肿分类
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-20 DOI: 10.1007/978-3-030-00889-5_5
Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Dan Wang, X. Han, Y. Iwamoto, Yenwei Chen
{"title":"Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification","authors":"Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Dan Wang, X. Han, Y. Iwamoto, Yenwei Chen","doi":"10.1007/978-3-030-00889-5_5","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_5","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125220378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Handling Missing Annotations for Semantic Segmentation with Deep ConvNets 基于深度卷积神经网络的语义分割缺失注释处理
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-20 DOI: 10.1007/978-3-030-00889-5_3
Olivier Petit, Nicolas Thome, Arnaud Charnoz, A. Hostettler, L. Soler
{"title":"Handling Missing Annotations for Semantic Segmentation with Deep ConvNets","authors":"Olivier Petit, Nicolas Thome, Arnaud Charnoz, A. Hostettler, L. Soler","doi":"10.1007/978-3-030-00889-5_3","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_3","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131338031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 31
Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps 基于自组织映射的全局近似块匹配快速生成组织分割训练数据
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-20 DOI: 10.1007/978-3-030-00889-5_13
L. Reid, A. Pagnozzi
{"title":"Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps","authors":"L. Reid, A. Pagnozzi","doi":"10.1007/978-3-030-00889-5_13","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_13","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131667247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes 学习18F-FDG PET影像最佳深度投影在帕金森综合征早期鉴别诊断中的应用
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-20 DOI: 10.1007/978-3-030-00889-5_26
Shubham Kumar, Abhijit Guha Roy, P. Wu, Sailesh Conjeti, R. Anand, Jian Wang, I. Yakushev, S. Förster, M. Schwaiger, Sung-Cheng Huang, A. Rominger, C. Zuo, Kuangyu Shi
{"title":"Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes","authors":"Shubham Kumar, Abhijit Guha Roy, P. Wu, Sailesh Conjeti, R. Anand, Jian Wang, I. Yakushev, S. Förster, M. Schwaiger, Sung-Cheng Huang, A. Rominger, C. Zuo, Kuangyu Shi","doi":"10.1007/978-3-030-00889-5_26","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_26","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134458466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease 多任务稀疏低秩学习在帕金森病多分类中的应用
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-20 DOI: 10.1007/978-3-030-00889-5_41
Haijun Lei, Yujia Zhao, Baiying Lei
{"title":"Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease","authors":"Haijun Lei, Yujia Zhao, Baiying Lei","doi":"10.1007/978-3-030-00889-5_41","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_41","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126930568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning 基于深度学习的超声心动图自动心肌应变成像
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-20 DOI: 10.1007/978-3-030-00889-5_35
Andreas Østvik, E. Smistad, T. Espeland, Erik Andreas Rye Berg, L. Løvstakken
{"title":"Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning","authors":"Andreas Østvik, E. Smistad, T. Espeland, Erik Andreas Rye Berg, L. Løvstakken","doi":"10.1007/978-3-030-00889-5_35","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_35","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128673143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images 三维医学图像中目标定位的非线性自适应学习优化
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-20 DOI: 10.1007/978-3-030-00889-5_29
Mayalen Etcheverry, B. Georgescu, B. Odry, Thomas J. Re, Shivam Kaushik, B. Geiger, M. Nadar, Sasa Grbic, D. Comaniciu
{"title":"Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images","authors":"Mayalen Etcheverry, B. Georgescu, B. Odry, Thomas J. Re, Shivam Kaushik, B. Geiger, M. Nadar, Sasa Grbic, D. Comaniciu","doi":"10.1007/978-3-030-00889-5_29","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_29","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123067184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network 基于渐进密集v网络的肺叶自动分割
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-20 DOI: 10.1007/978-3-030-00889-5_32
A. Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh
{"title":"Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network","authors":"A. Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh","doi":"10.1007/978-3-030-00889-5_32","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_32","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122198305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 39
Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN 使用结构受限的CycleGAN进行非配对脑mr - ct合成
DLMIA/ML-CDS@MICCAI
Pub Date : 2018-09-12 DOI: 10.1007/978-3-030-00889-5_20
Heran Yang, Jian Sun, A. Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L Prince
{"title":"Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN","authors":"Heran Yang, Jian Sun, A. Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L Prince","doi":"10.1007/978-3-030-00889-5_20","DOIUrl":"https://doi.org/10.1007/978-3-030-00889-5_20","url":null,"abstract":"","PeriodicalId":343890,"journal":{"name":"DLMIA/ML-CDS@MICCAI","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129115969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 111
首页 上一页 下一页 尾页
类型
全部 化学•材料 生命科学 医学 物理 工程技术 环境•农林 材料科学 地球科学 法学 管理学 化学 环境科学与生态学 计算机科学 教育学 经济学 农林科学 人文科学 生物学 数学 物理与天体物理 心理学 综合性期刊 其他 工业工程 理学 历史学 农学 文学 信息工程
数据库
全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley
期刊
DLMIA/ML-CDS@MICCAI
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
﹀
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们：info@booksci.cn
Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1