7 citations · 17 across the 5 of their papers we have counts for
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cs.CV2023
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
Junfei Xiao, Ziqi Zhou, Wenxuan Li +6
This paper introduces ProLab, a novel approach using property-level label space for creating strong interpretable segmentation models. Instead of relying solely on category-specifi…
cs.CV2022★ 7 cited
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
Ziqi Zhou, Lei Qi, Yinghuan Shi
For medical image analysis, segmentation models trained on one or several domains lack generalization ability to unseen domains due to discrepancies between different data acquisit…
cs.CV2021★ 6 cited
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization
Ziqi Zhou, Lei Qi, Xin Yang +2
For medical image segmentation, imagine if a model was only trained using MR images in source domain, how about its performance to directly segment CT images in target domain? This…