Conference record. Asilomar Conference on Signals, Systems & Computers最新文献_第3页

Neuronal Network Models for Sensory Discrimination. 感官辨别的神经网络模型。

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2016-11-01 Epub Date: 2017-03-06 DOI: 10.1109/ACSSC.2016.7869533

Mohammad Samavat, Dori Luli, Sharon Crook

引用次数: 2

FOOD IMAGE ANALYSIS: THE BIG DATA PROBLEM YOU CAN EAT! 美食形象分析：大数据问题你能吃！

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2016-11-01 Epub Date: 2017-03-06 DOI: 10.1109/ACSSC.2016.7869576

Yu Wang, Shaobo Fang, Chang Liu, Fengqing Zhu, Deborah A Kerr, Carol J Boushey, Edward J Delp

引用次数: 0

On The Block-Sparse Solution of Single Measurement Vectors. 单测量向量的块稀疏解。

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2015-11-01 Epub Date: 2016-02-29 DOI: 10.1109/ACSSC.2015.7421180

Mohammad Shekaramiz, Todd K Moon, Jacob H Gunther

引用次数: 0

Hierarchical Bayesian Approach For Jointly-Sparse Solution Of Multiple-Measurement Vectors. 多测量向量联合稀疏解的层次贝叶斯方法。

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2014-11-01 Epub Date: 2015-04-27 DOI: 10.1109/ACSSC.2014.7094813

Mohammad Shekaramiz, Todd K Moon, Jacob H Gunther

引用次数: 0

Piecewise Linear Slope Estimation. 分段线性斜率估计。

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2014-11-01 DOI: 10.1109/ACSSC.2014.7094476

A N Ingle, W A Sethares, T Varghese, J A Bucklew

引用次数: 1

Measurement Errors in Fluorescence Microscopy Image Registration. 荧光显微镜图像配准中的测量误差。

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2012-11-01 DOI: 10.1109/ACSSC.2012.6489300

E A K Cohen, R J Ober

引用次数: 0

Context Information Significantly Improves Brain Computer Interface Performance - a Case Study on Text Entry Using a Language Model Assisted BCI. 上下文信息显著提高脑机接口性能——使用语言模型辅助脑机接口的文本输入案例研究。

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2011-11-09

Umut Orhan, Deniz Erdogmus, Kenneth E Hild, Brian Roark, Barry Oken, Melanie Fried-Oken

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引用次数: 0

Surface-Constrained 3D Reconstruction in Cryo-EM. Cryo-EM中表面约束的三维重建。

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2011-01-01 DOI: 10.1109/ACSSC.2011.6190167

Andrew C Barthel, Hemant Tagare, Fred J Sigworth

引用次数: 1

Spatio-Temporal Analysis of Early Brain Development. 早期大脑发育的时空分析。

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2010-01-01 DOI: 10.1109/ACSSC.2010.5757670

Neda Sadeghi, Marcel Prastawa, John H Gilmore, Weili Lin, Guido Gerig

{"title":"Spatio-Temporal Analysis of Early Brain Development.","authors":"Neda Sadeghi, Marcel Prastawa, John H Gilmore, Weili Lin, Guido Gerig","doi":"10.1109/ACSSC.2010.5757670","DOIUrl":"https://doi.org/10.1109/ACSSC.2010.5757670","url":null,"abstract":"Analysis of human brain development is a crucial step for improved understanding of neurodevelopmental disorders. We focus on normal brain development as is observed in the multimodal longitudinal MRI/DTI data of neonates to two years of age. We present a spatio-temporal analysis framework using Gompertz function as a population growth model with three different spatial localization strategies: voxel-based, data driven clustering and atlas driven regional analysis. Growth models from multimodal imaging channels collected at each voxel form feature vectors which are clustered using the Dirichlet Process Mixture Models (DPMM). Clustering thus combines growth information from different modalities to subdivide the image into voxel groups with similar properties. The processing generates spatial maps that highlight the dynamic progression of white matter development. These maps show progression of white matter maturation where primarily, central regions mature earlier compared to the periphery, but where more subtle regional differences in growth can be observed. Atlas based analysis allows a quantitative analysis of a specific anatomical region, whereas data driven clustering identifies regions of similar growth patterns. The combination of these two allows us to investigate growth patterns within an anatomical region. Specifically, analysis of anterior and posterior limb of internal capsule show that there are different growth trajectories within these anatomies, and that it may be useful to divide certain anatomies into subregions with distinctive growth patterns.","PeriodicalId":72692,"journal":{"name":"Conference record. Asilomar Conference on Signals, Systems & Computers","volume":"2010 ","pages":"777-781"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ACSSC.2010.5757670","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32758278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

FISHER INFORMATION FOR EMCCD IMAGING WITH APPLICATION TO SINGLE MOLECULE MICROSCOPY. 用于emccd成像的Fisher信息及其在单分子显微镜中的应用。

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2010-01-01 DOI: 10.1109/ACSSC.2010.5757570

Jerry Chao, E Sally Ward, Raimund J Ober

引用次数: 2