1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Taming a Retrieval Framework to Read Images in Humanlike Manner for Augmenting Generation of MLLMs
Suyang Xi, Chenxi Yang, Hong Ding +4
Multimodal large language models (MLLMs) often fail in fine-grained visual question answering, producing hallucinations about object identities, positions, and relations because te…
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…
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…