3 citations · 9 across the 7 of their papers we have counts for
5 papers · 1 filter
Unsupervised Difference Learning for Noisy Rigid Image Alignment
Yu-Xuan Chen, Dagan Feng, Hong-Bin Shen
Rigid image alignment is a fundamental task in computer vision, while the traditional algorithms are either too sensitive to noise or time-consuming. Recent unsupervised image alig…
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
Euijoon Ahn, Dagan Feng, Jinman Kim
The segmentation of medical images is a fundamental step in automated clinical decision support systems. Existing medical image segmentation methods based on supervised deep learni…
IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
Zehui Yao, Boyan Zhang, Zhiyong Wang +3
Generative adversarial networks (GANs) have demonstrated great success in generating various visual content. However, images generated by existing GANs are often of attributes (e.g…
Unsupervised Deep Transfer Feature Learning for Medical Image Classification
Euijoon Ahn, Ashnil Kumar, Dagan Feng +2
The accuracy and robustness of image classification with supervised deep learning are dependent on the availability of large-scale, annotated training data. However, there is a pau…
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Ashnil Kumar, Michael Fulham, Dagan Feng +1
The analysis of multi-modality positron emission tomography and computed tomography (PET-CT) images for computer aided diagnosis applications requires combining the sensitivity of…