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» Sparse topological data recovery in medical images
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TCSV
2008
156views more  TCSV 2008»
13 years 7 months ago
Robust Lossless Image Data Hiding Designed for Semi-Fragile Image Authentication
Recently, among various data hiding techniques, a new subset, lossless data hiding, has received increasing interest. Most of the existing lossless data hiding algorithms are, howe...
Zhicheng Ni, Yun Q. Shi, Nirwan Ansari, Wei Su, Qi...
IPMI
2009
Springer
14 years 6 days ago
Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD)
Functional magnetic resonance imaging (fMRI) has become increasingly used for studying functional integration of the brain. However, the large inter-subject variability in function...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
ISBI
2004
IEEE
14 years 8 months ago
SUMA: An Interface for Surface-Based Intra- and Inter-Subject Analysis with AFNI
Surface-based brain imaging analysis is increasingly being used for detailed analysis of the topology of brain activation patterns and changes in cerebral gray matter. Here we pre...
Brenna Argall, Richard Reynolds, Robert J. Cox, Sh...
CVPR
2011
IEEE
13 years 3 months ago
Accelerated Low-Rank Visual Recovery by Random Projection
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...