The purpose of this article was to review the embryologic stages of the cerebral cortex,
illustrate the classification of disorders of cortical formation, and finally describe the main MR …

The challenges of balancing industrial development, environmental and human health, and
economic growth in China and elsewhere in the world are drivers for recent resource use …

There have been reported outbreaks of Legionnaires’ disease at hospitals and industrial
facilities, which prompted the development of various preventive measures. For example, Ford …

Background Given the projected trends in population ageing and population growth, the
number of people with dementia is expected to increase. In addition, strong evidence has …

There are two major types of uncertainty one can model. Aleatoric uncertainty captures
noise inherent in the observations. On the other hand, epistemic uncertainty accounts for …

Numerous deep learning applications benefit from multi-task learning with multiple regression
and classification objectives. In this paper we make the observation that the performance …

Introduction Several studies have measured health outcomes in the United States, but none
have provided a comprehensive assessment of patterns of health by state. Objective To use …

We propose a novel deep learning architecture for regressing disparity from a rectified pair
of stereo images. We leverage knowledge of the problem's geometry to form a cost volume …

We present a deep learning framework for probabilistic pixel-wise semantic segmentation,
which we term Bayesian SegNet. Semantic segmentation is an important tool for visual scene …

The term “fuzzy sets” has been introduced to describe, in precise mathematical terms, the
ambiguities and uncertainties inherent in many real-world pattern recognition and …