Cancer treatment and survivorship statistics, 2019
Abstract The number of cancer survivors continues to increase in the United States because of the growth and aging of the population as well as advances in early detection and t...
Publications
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453 publications
KEGG: integrating viruses and cellular organisms
Abstract KEGG (https://www.kegg.jp/) is a manually curated resource integrating eighteen databases categorized into systems, genomic, chemical and health information. It also pr...
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
Regional dropout strategies have been proposed to enhance performance of convolutional neural network classifiers. They have proved to be effective for guiding the model to atte...
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality. To...
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Although convolutional neural networks (CNNs) have achieved great success in computer vision, this work investigates a simpler, convolution-free backbone network use-fid for man...
The Delphi Technique: Making Sense of Consensus
The Delphi technique is a widely used and accepted method for gathering data from respondents within their domain of expertise. The technique is designed as a group communicatio...
The Psychology of Human-Computer Interaction
Contents: Preface. An Applied Information-Processing Psychology. Part I: Science Base. The Human Information-Processor. Part II: Text-Editing. System and User Variability. An Ex...
RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference
Abstract Motivation Phylogenies are important for fundamental biological research, but also have numerous applications in biotechnology, agriculture and medicine. Finding the op...
Identification of Causal Effects Using Instrumental Variables
Abstract We outline a framework for causal inference in settings where assignment to a binary treatment is ignorable, but compliance with the assignment is not perfect so that t...
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
One camera and one low-cost inertial measurement unit (IMU) form a monocular visual-inertial system (VINS), which is the minimum sensor suite (in size, weight, and power) for th...
Update on prevention, diagnosis, and treatment of chronic hepatitis B
Potential conflict of interest: Dr. Hwang received grants from Merck and Gilead. Dr. Chang advises Arbutus. Dr. Lok received grants from Gilead and Bristol‐Myers Squibb. Dr. Jon...
Learning Deconvolution Network for Semantic Segmentation
We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the convolutional layers adopted from VGG 16-layer ne...