
-
ELMV: a Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values
Many real-world Electronic Health Record (EHR) data contains a large pro...
read it
-
STAN-CT: Standardizing CT Image using Generative Adversarial Network
Computed tomography (CT) plays an important role in lung malignancy diag...
read it
-
Dynamic Region-Aware Convolution
We propose a new convolution called Dynamic Region-Aware Convolution (DR...
read it
-
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Co-saliency detection aims to discover the common and salient foreground...
read it
-
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
Due to a variety of motions across different frames, it is highly challe...
read it
-
Deep Object Co-segmentation via Spatial-Semantic Network Modulation
Object co-segmentation is to segment the shared objects in multiple rele...
read it
-
DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning
We propose a deep learning-based technique for detection and quantificat...
read it
-
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
Partial domain adaptation aims to transfer knowledge from a label-rich s...
read it
-
A Game-Theoretic Learning Framework for Multi-Agent Intelligent Wireless Networks
In this article, we introduce a game-theoretic learning framework for th...
read it
-
Network-Connected UAV Communications: Potentials and Challenges
This article explores the use of network-connected unmanned aerial vehic...
read it
-
Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer
By means of network densification, ultra dense networks (UDNs) can effic...
read it
-
Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence Plant Videos
This paper proposes a novel framework for fluorescence plant video proce...
read it