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Results 1 - 10
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179
Probable AD Versus Normal Controls
"... Abstract—Automated computer classification (ACC) techniques are needed to facilitate physician’s diagnosis of complex diseases in individual patients. We provide an example of ACC using computational techniques within the context of cross-sectional analysis of magnetic resonance images (MRI) in neur ..."
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or grey/ white matter volumes. The ability of cross-sectional MRI at detecting probable AD with high accuracy could have profound implications in the management of suspected AD candidates. Index Terms—Accuracy, automated computer classification, magnetic resonance imaging (MRI), neurodegenerative diseases
Whom You Know Matters: Venture Capital Networks and Investment Performance,
- Journal of Finance
, 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
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Cited by 138 (8 self)
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of funding. Controlling for other known determinants of VC fund performance such as fund size (Kaplan and Schoar When we examine performance at the portfolio company level, we find that a VC's network centrality has a positive and significant effect on the probability that a portfolio company survives
How predictable are ‘‘spontaneous decisions’’ and ‘‘hidden intentions’’? Comparing classification results based on previous responses with multivariate pattern analysis of fMRI BOLD signals
- Frontiers in Psychology
, 2012
"... In two replication studies we examined response bias and dependencies in voluntary decisions. We trained a linear classifier to predict "spontaneous decisions" and in the second study "hidden intentions" from responses in preceding trials and achieved comparable prediction accur ..."
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Cited by 2 (0 self)
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accuracies as reported for multivariate pattern classification based on voxel activities in frontopolar cortex. We discuss implications of our findings and suggest ways to improve classification analyses of fMRI BOLD signals that may help to reduce effects of response dependencies between trials. Keywords
Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls
- Hum. Brain Mapp
"... We used a new method we developed for automated hippocampal segmentation, called the auto context model (ACM), to analyze brain MRI scans of 400 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). After training the classifier on 21 hand-labeled expert segmentations, we created bin ..."
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Cited by 11 (1 self)
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technique was used to compute average surface models and local statistics of atrophy. Surface-based statistical maps visualized links between regional atrophy and diagnosis (MCI versus controls: p = 0.008; MCI versus AD: p = 0.001), mini-mental state exam (MMSE) scores, and global and sum-of-boxes clinical
Automatic program repair with evolutionary computation,”
- Commun. ACM,
, 2010
"... Abstract There are many methods for detecting and mitigating software errors but few generic methods for automatically repairing errors once they are discovered. This paper highlights recent work combining program analysis methods with evolutionary computation to automatically repair bugs in off-th ..."
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Cited by 34 (5 self)
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nature and location of the necessary repair, improving search efficiency. Given a defective program, there are several issues to be addressed: program statements and control flow using existing program structure. We favor insertions based on the existing program structure. 5. When are we finished? We
Classification of Alzheimer's Disease from 3D Structural MRI Data
"... With nearly 100.000 cases in Algeria, Alzheimer's disease (AD) represents a major public health problem. Therefore, several different automated methods have been developed to assist clinicians in their diagnosis. We propose here a method based on binary support vector machines (SVM) to distingu ..."
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) to distinguish between patients with Alzheimer disease (AD), patients with mild cognitive impairment (MCI) and elderly control subjects (CS) from magnetic resonance imaging (MRI) data. In order to reduce the total computation time, we used the JADE (Java Agent DEvelopement Framework) multi-agent platform
Routing and Broadcasting in Ad-Hoc Networks
"... I would like to thank Prof. Dr. Torsten Braun, head of the Computer Network and Distributed Systems group (RVS), for supervising this work and for his insightful advises. Prof. Dr. Torsten Braun encouraged and motivated me to publish my research results and he provided me the opportunity to present ..."
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I would like to thank Prof. Dr. Torsten Braun, head of the Computer Network and Distributed Systems group (RVS), for supervising this work and for his insightful advises. Prof. Dr. Torsten Braun encouraged and motivated me to publish my research results and he provided me the opportunity to present
Research Article Self-Stabilizing TDMA Algorithms for Dynamic Wireless Ad Hoc Networks
"... In dynamic wireless ad hoc networks (DynWANs), autonomous computing devices set up a network for the communication needs of the moment. These networks require the implementation of a medium access control (MAC) layer.We considerMAC protocols for DynWANs that need to be autonomous and robust as well ..."
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In dynamic wireless ad hoc networks (DynWANs), autonomous computing devices set up a network for the communication needs of the moment. These networks require the implementation of a medium access control (MAC) layer.We considerMAC protocols for DynWANs that need to be autonomous and robust as well
Active Mask Framework for Segmentation of Fluorescence Microscope Images
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet dif-ficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together
Results 1 - 10
of
179
