9 citations · 19 across the 6 of their papers we have counts for
6 papers
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
Xiaowei Yu, Zhe Huang, Zao Zhang
Unsupervised domain adaptation (UDA) aims to leverage the knowledge learned from labeled source domains to improve performance on the unlabeled target domains. While Convolutional…
Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis
Zhe Huang, Xiaowei Yu, Benjamin S. Wessler +1
Automated interpretation of ultrasound imaging of the heart (echocardiograms) could improve the detection and treatment of aortic stenosis (AS), a deadly heart disease. However, ex…
Gyri vs. Sulci: Disentangling Brain Core-Periphery Functional Networks via Twin-Transformer
Xiaowei Yu, Lu Zhang, Haixing Dai +5
The human cerebral cortex is highly convoluted into convex gyri and concave sulci. It has been demonstrated that gyri and sulci are significantly different in their anatomy, connec…
Representing Brain Anatomical Regularity and Variability by Few-Shot Embedding
Lu Zhang, Xiaowei Yu, Yanjun Lyu +7
Effective representation of brain anatomical architecture is fundamental in understanding brain regularity and variability. Despite numerous efforts, it is still difficult to infer…
Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers
Xiaowei Yu, Lu Zhang, Lin Zhao +3
How to identify and characterize functional brain networks (BN) is fundamental to gain system-level insights into the mechanisms of brain organizational architecture. Current funct…
Representative Functional Connectivity Learning for Multiple Clinical groups in Alzheimer's Disease
Lu Zhang, Xiaowei Yu, Yanjun Lyu +2
Mild cognitive impairment (MCI) is a high-risk dementia condition which progresses to probable Alzheimer's disease (AD) at approximately 10% to 15% per year. Characterization of gr…