1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models
Qingqiao Hu, Daoan Zhang, Jiebo Luo +4
Learning meaningful and interpretable representations from high-dimensional volumetric magnetic resonance (MR) images is essential for advancing personalized medicine. While Vision…
eess.IV2023★ 1 cited
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks
Qingqiao Hu, Hao Wang, Jing Luo +7
Automated medical image segmentation inherently involves a certain degree of uncertainty. One key factor contributing to this uncertainty is the ambiguity that can arise in determi…
eess.IV2022
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach
Qingqiao Hu, Hongwei Li, Jianguo Zhang
Medical image synthesis has attracted increasing attention because it could generate missing image data, improving diagnosis and benefits many downstream tasks. However, so far the…