31 citations · 87 across the 6 of their papers we have counts for
6 papers
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction
Yeeleng S. Vang, Yingxin Cao, Xiaohui Xie
The ABCD Neurocognitive Prediction Challenge is a community driven competition asking competitors to develop algorithms to predict fluid intelligence score from T1-w MRIs. In this…
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…
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Wentao Zhu, Qi Lou, Yeeleng Scott Vang +1
Mammogram classification is directly related to computer-aided diagnosis of breast cancer. Traditional methods rely on regions of interest (ROIs) which require great efforts to ann…
HLA class I binding prediction via convolutional neural networks
Yeeleng Scott Vang, Xiaohui Xie
Many biological processes are governed by protein-ligand interactions. One such example is the recognition of self and nonself cells by the immune system. This immune response proc…
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Wentao Zhu, Qi Lou, Yeeleng Scott Vang +1
Mammogram classification is directly related to computer-aided diagnosis of breast cancer. Traditional methods requires great effort to annotate the training data by costly manual…