62 citations · 65 across the 5 of their papers we have counts for
6 papers
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
Yue Zhang, Chengtao Peng, Qiuli Wang +3
Multi-modal medical images provide complementary soft-tissue characteristics that aid in the screening and diagnosis of diseases. However, limited scanning time, image corruption a…
Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention Mechanism
Han Yang, Qiuli Wang, Yue Zhang +4
Radiologists possess diverse training and clinical experiences, leading to variations in the segmentation annotations of lung nodules and resulting in segmentation uncertainty.Conv…
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window
Qiuli Wang, Xin Tan, Chen Liu
Since the pandemic of COVID-19, several deep learning methods were proposed to analyze the chest Computed Tomography (CT) for diagnosis. In the current situation, the disease cours…
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN
Bo Li, Qiulin Wang, Jiquan Pei +2
The semantically disentangled latent subspace in GAN provides rich interpretable controls in image generation. This paper includes two contributions on semantic latent subspace ana…
SAFA: Structure Aware Face Animation
Qiulin Wang, Lu Zhang, Bo Li
Recent success of generative adversarial networks (GAN) has made great progress on the face animation task. However, the complex scene structure of a face image still makes it a ch…
Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention
Han Yang, Lu Shen, Mengke Zhang +1
Since radiologists have different training and clinical experiences, they may provide various segmentation annotations for a lung nodule. Conventional studies choose a single annot…