540 citations · 1.2k across the 38 of their papers we have counts for
8 papers · 1 filter
Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures
Tiehang Duan, José P. Pinto, Xiaohui Xie
Motivation: With the development of droplet based systems, massive single cell transcriptome data has become available, which enables analysis of cellular and molecular processes a…
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach
Tiehang Duan, Qi Lou, Sargur N. Srihari +1
Current state-of-the-art nonparametric Bayesian text clustering methods model documents through multinomial distribution on bags of words. Although these methods can effectively ut…
Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation
Liangjian Chen, Shih-Yao Lin, Yusheng Xie +5
Hand pose estimation from a monocular RGB image is an important but challenging task. The main factor affecting its performance is the lack of a sufficiently large training dataset…
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy
Wentao Zhu, Yufang Huang, Liang Zeng +6
Methods: Our deep learning model, called AnatomyNet, segments OARs from head and neck CT images in an end-to-end fashion, receiving whole-volume HaN CT images as input and generati…
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection
Wentao Zhu, Yeeleng S. Vang, Yufang Huang +1
Recently deep learning has been witnessing widespread adoption in various medical image applications. However, training complex deep neural nets requires large-scale datasets label…
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification
Yeeleng S. Vang, Zhen Chen, Xiaohui Xie
In this work, we present a deep learning framework for multi-class breast cancer image classification as our submission to the International Conference on Image Analysis and Recogn…
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
Wentao Zhu, Chaochun Liu, Wei Fan +1
In this work, we present a fully automated lung computed tomography (CT) cancer diagnosis system, DeepLung. DeepLung consists of two components, nodule detection (identifying the l…
Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering
Zhe Wang, Xiaoyi Liu, Liangjian Chen +4
Visual question answering (VQA) is of significant interest due to its potential to be a strong test of image understanding systems and to probe the connection between language and…