Ensemble approaches for deep-learning-based semantic segmentation remain...
Deep learning (DL) has shown great potential in medical image enhancemen...
Most of the current state-of-the-art methods for tumor segmentation are ...
We present an efficient deep learning approach for the challenging task ...
Deep neural networks and decision trees operate on largely separate
para...
We present a novel cost function for semi-supervised learning of neural
...
We propose the autofocus convolutional layer for semantic segmentation w...
Significant advances have been made towards building accurate automatic
...
We consider the task of predicting various traits of a person given an i...
Despite having high accuracy, neural nets have been shown to be suscepti...
We propose a new method for creating computationally efficient and compa...
Deep Convolutional Neural Networks (CNNs) have recently evinced immense
...
This paper investigates the connections between two state of the art
cla...
We propose a new method for creating computationally efficient convoluti...
This article presents a new distance for measuring shape dissimilarity
b...