1 citations · 2 across the 6 of their papers we have counts for
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CausalDisenSeg: A Causality-Guided Disentanglement Framework with Counterfactual Reasoning for Robust Brain Tumor Segmentation Under Missing Modalities
Bo Liu, Yulong Zou, Jin Hong
In clinical practice, the robustness of deep learning models for multimodal brain tumor segmentation is severely compromised by incomplete MRI data. This vulnerability stems primar…
Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection
Haifeng Zhang, Qinghui He, Xiuli Bi +3
In recent years, the rapid development of generative artificial intelligence technology has significantly lowered the barrier to creating high-quality fake images, posing a serious…
EndoVGGT: GNN-Enhanced Depth Estimation for Surgical 3D Reconstruction
Falong Fan, Yi Xie, Arnis Lektauers +2
Accurate 3D reconstruction of deformable soft tissues is essential for surgical robotic perception. However, low-texture surfaces, specular highlights, and instrument occlusions of…
MGML: A Plug-and-Play Meta-Guided Multi-Modal Learning Framework for Incomplete Multimodal Brain Tumor Segmentation
Yulong Zou, Bo Liu, Cun-Jing Zheng +6
Leveraging multimodal information from Magnetic Resonance Imaging (MRI) plays a vital role in lesion segmentation, especially for brain tumors. However, in clinical practice, multi…