1 citations · 1 across the 5 of their papers we have counts for
5 papers
Copula-enhanced Vision Transformer for high myopia diagnosis through OU UWF fundus images
Chong Zhong, Yunhao Liu, Yang Li +10
The advancement of AI-assisted myopia screening necessitates the joint diagnosis of both-eye (OU) high myopia (HM) status and the prediction of axial length (AL). This clinical req…
OU-CoViT: Copula-Enhanced Bi-Channel Multi-Task Vision Transformers with Dual Adaptation for OU-UWF Images
Yang Li, Jianing Deng, Chong Zhong +7
Myopia screening using cutting-edge ultra-widefield (UWF) fundus imaging and joint modeling of multiple discrete and continuous clinical scores presents a promising new paradigm fo…
OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images
Yang Li, Qiuyi Huang, Chong Zhong +7
Myopia screening using cutting-edge ultra-widefield (UWF) fundus imaging is potentially significant for ophthalmic outcomes. Current multidisciplinary research between ophthalmolog…
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images
Chong Zhong, Yang Li, Danjuan Yang +5
The ultra-widefield (UWF) fundus image is an attractive 3D biomarker in AI-aided myopia screening because it provides much richer myopia-related information. Though axial length (A…
Modeling and Learning on High-Dimensional Matrix-Variate Sequences
Xu Zhang, Catherine C. Liu, Jianhua Guo +2
We propose a new matrix factor model, named RaDFaM, which is strictly derived based on the general rank decomposition and assumes a structure of a high-dimensional vector factor mo…