首页 > 最新文献

Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction最新文献

英文 中文
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels 基于随机森林和超体素的动态增强CT扫描半自动肝脏肿瘤分割
Pierre-Henri Conze, F. Rousseau, V. Noblet, F. Heitz, R. Memeo, P. Pessaux
{"title":"Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels","authors":"Pierre-Henri Conze, F. Rousseau, V. Noblet, F. Heitz, R. Memeo, P. Pessaux","doi":"10.1007/978-3-319-24888-2_26","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_26","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"49 1","pages":"212-219"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85748191","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: 10
A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation 一种新的宫颈发育不良分类评价的图像数据集和基准
Tao Xu, Cheng Xin, L. R. Long, Sameer Kiran Antani, Z. Xue, Edward Kim, Xiaolei Huang
{"title":"A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation","authors":"Tao Xu, Cheng Xin, L. R. Long, Sameer Kiran Antani, Z. Xue, Edward Kim, Xiaolei Huang","doi":"10.1007/978-3-319-24888-2_4","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_4","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"51 1","pages":"26-35"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86824924","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
Flexible and Latent Structured Output Learning - Application to Histology 灵活和潜在的结构化输出学习-在组织学中的应用
G. Carneiro, Tingying Peng, C. Bayer, Nassir Navab
{"title":"Flexible and Latent Structured Output Learning - Application to Histology","authors":"G. Carneiro, Tingying Peng, C. Bayer, Nassir Navab","doi":"10.1007/978-3-319-24888-2_27","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_27","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"21 1-2 1","pages":"220-228"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79647759","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
Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease 多模式多标签迁移学习在阿尔茨海默病早期诊断中的应用
Bo Cheng, Mingxia Liu, Daoqiang Zhang
{"title":"Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease","authors":"Bo Cheng, Mingxia Liu, Daoqiang Zhang","doi":"10.1007/978-3-319-24888-2_29","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_29","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"22 1","pages":"238-245"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83704261","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: 5
Multi-atlas Context Forests for Knee MR Image Segmentation 基于多图谱上下文森林的膝关节MR图像分割
Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, D. Shen
{"title":"Multi-atlas Context Forests for Knee MR Image Segmentation","authors":"Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, D. Shen","doi":"10.1007/978-3-319-24888-2_23","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_23","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"67 1","pages":"186-193"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84716869","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: 8
Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features 利用局部特征自动检测iPS细胞的好坏菌落
Atsuki Masuda, B. Raytchev, Takio Kurita, T. Imamura, Masashi Suzuki, Toru Tamaki, K. Kaneda
{"title":"Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features","authors":"Atsuki Masuda, B. Raytchev, Takio Kurita, T. Imamura, Masashi Suzuki, Toru Tamaki, K. Kaneda","doi":"10.1007/978-3-319-24888-2_19","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_19","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"21 1","pages":"153-160"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89326250","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: 5
Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data 利用功能连接组数据识别创伤性脑损伤和阿尔茨海默病患者常见的异常网络改变
D. Vanderweyen, B. Munsell, J. Mintzer, O. Mintzer, A. Gajadhar, Xun Zhu, Guorong Wu, J. Joseph
{"title":"Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data","authors":"D. Vanderweyen, B. Munsell, J. Mintzer, O. Mintzer, A. Gajadhar, Xun Zhu, Guorong Wu, J. Joseph","doi":"10.1007/978-3-319-24888-2_28","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_28","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"1918 1","pages":"229-237"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87725706","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: 5
Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation 通过染色归一化和细胞密度估计在H&E全片成像中的前列腺肿瘤分类
M. Weingant, H. Reynolds, A. Haworth, C. Mitchell, S. Williams, M. Difranco
{"title":"Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation","authors":"M. Weingant, H. Reynolds, A. Haworth, C. Mitchell, S. Williams, M. Difranco","doi":"10.1007/978-3-319-24888-2_34","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_34","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"30 1","pages":"280-287"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77609911","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: 7
Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease 基于软分裂稀疏回归的随机森林预测阿尔茨海默病的未来临床评分
Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, D. Shen
{"title":"Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease","authors":"Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, D. Shen","doi":"10.1007/978-3-319-24888-2_30","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_30","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"28 1","pages":"246-254"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83292199","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: 11
Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images 基于熵采样的增强卷积滤波器用于眼底杯状和盘状图像分割
J. Zilly, J. Buhmann, D. Mahapatra
{"title":"Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images","authors":"J. Zilly, J. Buhmann, D. Mahapatra","doi":"10.1007/978-3-319-24888-2_17","DOIUrl":"https://doi.org/10.1007/978-3-319-24888-2_17","url":null,"abstract":"","PeriodicalId":90643,"journal":{"name":"Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction","volume":"1 1","pages":"136-143"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80460357","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: 79
期刊
Machine learning for multimodal interaction : ... international workshop, MLMI ... : revised selected papers. Workshop on Machine Learning for Multimodal Interaction
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