Myocardial tagging in magnetic resonance imaging (MRI) has shown great potential for noninvasive measurement of the motion of a beating heart. A critical issue in exploiting this ...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Background: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross b...
Phillip McClurg, Mathew T. Pletcher, Tim Wiltshire...
Abstract. In this paper, different well-known features for image retrieval are quantitatively compared and their correlation is analyzed. We compare the features for two differen...