DLMIA/ML-CDS@MICCAI最新文献

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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
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