48 citations · 64 across the 3 of their papers we have counts for
3 papers · 1 filter
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang +3
Convolutional neural networks have led to significant breakthroughs in the domain of medical image analysis. However, the task of breast cancer segmentation in whole-slide images (…
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang +3
The cardiothoracic ratio (CTR), a clinical metric of heart size in chest X-rays (CXRs), is a key indicator of cardiomegaly. Manual measurement of CTR is time-consuming and can be a…
Dual Motion GAN for Future-Flow Embedded Video Prediction
Xiaodan Liang, Lisa Lee, Wei Dai +1
Future frame prediction in videos is a promising avenue for unsupervised video representation learning. Video frames are naturally generated by the inherent pixel flows from preced…