Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset
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We propose near-affine-invariant texture descriptors derived from isotropic wavelet frames for the characterization of lung tissue patterns in high-resolution computed tomography (HRCT) imaging. Affine invariance is desirable to enable learning of nondeter ...
Institute of Electrical and Electronics Engineers2012
Due to daylight variability, a design cannot be thoroughly assessed using single-moment simulations, which is why we need dynamic performance metrics like Daylight Autonomy and Useful Daylight Illuminance. Going one step further, the annual variation in pe ...
Chronic obstructive pulmonary disease (COPD) is the 5(th) most prevalent disease worldwide leading to severe morbidity and mortality in developed countries. The disease is strongly associated with smoking, and can be characterized by progressive and irreve ...
This work deals with the topic of information processing over graphs. The presentation is largely self-contained and covers results that relate to the analysis and design of multi-agent networks for the distributed solution of optimization, adaptation, and ...
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Impairment of pulmonary function is a major prognostic indicator in amyotrophic lateral sclerosis (ALS). Forced vital capacity (FVC) and maximal voluntary ventilation (MVV) decline linearly and are commonly used to assess disease progression. The aim of th ...
Principal Component Analysis (PCA) has been widely used for manifold description and dimensionality reduction. Performance of PCA is however hampered when data exhibits nonlinear feature relations. In this work, we propose a new framework for manifold lear ...
This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...
The main problem encountered in pulmonary artery banding is the difficulty in determining the optimal perimeter of the band, and sometime repeated surgical operations are required to adjust the band perimeter in order to control the pulmonary blood flow. T ...
This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...