• Publications
  • Influence
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
  • Q. Dou, Hao Chen, +6 authors P. Heng
  • Computer Science, Medicine
  • IEEE Transactions on Medical Imaging
  • 11 February 2016
In this paper, we propose a novel automatic method to detect CMBs from magnetic resonance (MR) images by exploiting the 3D convolutional neural network (CNN). Expand
vCUDA: GPU accelerated high performance computing in virtual machines
This paper describes vCUDA, a GPGPU (General Purpose Graphics Processing Unit) computing solution for virtual machines. Expand
Sogou Neural Machine Translation Systems for WMT17
We describe the Sogou neural machine translation systems for the WMT 2017 Chinese↔English news translation tasks and propose an approach to improve the named entity translation problem. Expand
Taming liquids for rapidly changing targets
Following rapidly changing target objects is a challenging problem in fluid control, especially when the natural fluid motion should be preserved. Expand
Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks
We present a robust and efficient approach to automatically locating and identifying vertebrae in 3D CT volumes by exploiting high level feature representations with deep convolutional neural network CNN. Expand
A fast multigrid algorithm for mesh deformation
In this paper, we present a multigrid technique for efficiently deforming large surface and volume meshes. Expand
Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
This paper presents a Systematic Literature Review (SLR) on machine learning techniques for code smell detection. Expand
An Empirical Study on Evolution of API Documentation
We present an analysis methodology to analyze the evolution of API documentation evolution. Expand
Automatic detection of breast cancers in mammograms using structured support vector machines
We introduce a structured SVM model to determine if each mammographic region is normal or cancerous by considering the cluster structures in the training set. Expand
Hidden Markov model based drone sound recognition using MFCC technique in practical noisy environments
The development of drones has captured the attention of hobbyists and investors alike; drones now have greater commercial and military applications owing to their relatively small size and ability to fly without an on-board pilot. Expand