Yihao Guo — accepted AI-conference papers

2025

Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation

Xingru Huang, Jian Huang, Yihao Guo, Tianyun Zhang, Zhao Huang, Yaqi Wang +7

IJCAI 2025

Information retrieved from three dimensions is treated uniformly in CNN-based volumetric segmentation methods. However, such neglect of axial disparities fails to capture true spatio-temporal variations. This paper introduces the volumetric axial disentanglement to address the disparities in spatial

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2024

Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation

Xingru Huang, Yihao Guo, Jian Huang, Tianyun Zhang, HE HONG, Shaowei Jiang +1

NeurIPS 2024poster

In the present study, we introduce an innovative structure for 3D medical image segmentation that effectively integrates 2D U-Net-derived skip connections into the architecture of 3D convolutional neural networks (3D CNNs). Conventional 3D segmentation techniques predominantly depend on isotropic 3D…

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