8 citations · 9 across the 4 of their papers we have counts for
4 papers · 1 filter
Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models
Qiuhui Chen, Huping Ye, Yi Hong
Understanding 3D medical image volumes is a critical task in the medical domain. However, existing 3D convolution and transformer-based methods have limited semantic understanding…
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors
Qiuhui Chen, Haiying Lyu, Xinyue Hu +2
Recently, weakly-supervised image segmentation using weak annotations like scribbles has gained great attention in computer vision and medical image analysis, since such annotation…
MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Qiuhui Chen, Xinyue Hu, Zirui Wang +1
Vision-language pre-training (VLP) models have been demonstrated to be effective in many computer vision applications. In this paper, we consider developing a VLP model in the medi…
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations
Qiuhui Chen, Yi Hong
Recently, weakly-supervised image segmentation using weak annotations like scribbles has gained great attention, since such annotations are much easier to obtain compared to time-c…