624 citations · 879 across the 26 of their papers we have counts for
7 papers · 1 filter
Efficient Annotation for Medical Image Analysis: A One-Pass Selective Annotation Approach
Yuli Wang, Peiyu Duan, Zhangxing Bian +2
Annotating biomedical images for supervised learning is a complex and labor-intensive task due to data diversity and its intricate nature. In this paper, we propose an innovative m…
Synthetic Augmentation with Large-scale Unconditional Pre-training
Jiarong Ye, Haomiao Ni, Peng Jin +2
Deep learning based medical image recognition systems often require a substantial amount of training data with expert annotations, which can be expensive and time-consuming to obta…
Securing Deep Generative Models with Universal Adversarial Signature
Yu Zeng, Mo Zhou, Yuan Xue +1
Recent advances in deep generative models have led to the development of methods capable of synthesizing high-quality, realistic images. These models pose threats to society due to…
Label Propagation via Random Walk for Training Robust Thalamus Nuclei Parcellation Model from Noisy Annotations
Anqi Feng, Yuan Xue, Yuli Wang +7
Data-driven thalamic nuclei parcellation depends on high-quality manual annotations. However, the small size and low contrast changes among thalamic nuclei, yield annotations that…
The First Comprehensive Dataset with Multiple Distortion Types for Visual Just-Noticeable Differences
Yaxuan Liu, Jian Jin, Yuan Xue +1
Recently, with the development of deep learning, a number of Just Noticeable Difference (JND) datasets have been built for JND modeling. However, all the existing JND datasets only…
Automated Ventricle Parcellation and Evan's Ratio Computation in Pre- and Post-Surgical Ventriculomegaly
Yuli Wang, Anqi Feng, Yuan Xue +6
Normal pressure hydrocephalus~(NPH) is a brain disorder associated with enlarged ventricles and multiple cognitive and motor symptoms. The degree of ventricular enlargement can be…
A latent space for unsupervised MR image quality control via artifact assessment
Lianrui Zuo, Yuan Xue, Blake E. Dewey +3
Image quality control (IQC) can be used in automated magnetic resonance (MR) image analysis to exclude erroneous results caused by poorly acquired or artifact-laden images. Existin…