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Comments are welcome, but please do not quote without t h e a u t h ors' permission. Abstract In this paper we consider the problem of making inference on a structural parameter in instrumental variables regression when the instruments are only weakly correlated with t h e e n dogenous explanatory variables. Adopting a local-to-zero assumption as in Staiger(More)
PURPOSE Accurate segmentation of lungs with severe interstitial lung disease (ILD) in thoracic computed tomography (CT) is an important and difficult task in the development of computer-aided diagnosis (CAD) systems. Therefore, we developed in this study a texture analysis-based method for accurate segmentation of lungs with severe ILD in multidetector CT(More)
MOTIVATION The 3D structure of the genome plays a critical role in regulating gene expression. Recent progress in mapping technologies for chromatin interactions has led to a rapid increase in this kind of interaction data. This trend will continue as research in this burgeoning field intensifies. RESULTS We describe the 4DGenome database that stores(More)
Automated segmenting and labeling of individual brain anatomical regions, in MRI are challenging, due to the issue of individual structural variability. Although atlas-based segmentation has shown its potential for both tissue and structure segmentation, due to the inherent natural variability as well as disease-related changes in MR appearance, a single(More)
The VOLCANO'09 Challenge invited participants to evaluate the change in size of pulmonary nodules in CT images; the challenge data set consisted of 50 pairs of CT scans each scan containing a single nodule. This is the first challenge for CAD methods on pulmonary nodules in which size change rather than volume estimation is the primary endpoint. Responses(More)
Implicit emotion tagging is a central theme in the area of affective computing. To this end, Several physiological signals acquired from subjects can be employed, for example, electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) from brain, electrocardiography (ECG) from cardiac activities, and other peripheral physiological(More)
Duchenne muscular dystrophy (DMD) is an X-linked recessive disorder in which the loss of dystrophin causes progressive degeneration of skeletal and cardiac muscle. Potential therapies that carry substantial risk, such as gene- and cell-based approaches, must first be tested in animal models, notably the mdx mouse and several dystrophin-deficient breeds of(More)
PURPOSE Cerebrospinal fluid (CSF) segmentation in computed tomography (CT) is a key step in computer-aided detection (CAD) of acute ischemic stroke. Because of image noise, low contrast and intensity inhomogeneity, CSF segmentation has been a challenging task. A region-based active contour model, which is insensitive to contour initialization and robust to(More)
Recently, researches and developments for measuring and modeling of human body are taking much attention. Our aim is to capture accurate shape of human foot, using 2D images acquired by multiple cameras, which can capture dynamic behavior of the object. In this paper, 3D active shape models is used for accurate reconstruction of surface shape of human foot.(More)