Cascaded hybrid residual U-Net for glioma segmentation. - Jiaosong Long; Guangzhi Ma; Hong Liu 005; Enmin Song; Chih-Cheng Hung; Xiangyang Xu; Renchao Jin; Yuzhou Zhuang; DaiYang Liu (Multim. Tools Appl., 2020)

ReflecTrack: Enabling 3D Acoustic Position Tracking Using Commodity Dual-Microphone Smartphones. - Yuzhou Zhuang; Yuntao Wang 001; Yukang Yan; Xuhai Xu; Yuanchun Shi (UIST, 2021)

An Unpaired Cross-Modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and Cochlea. - Yuzhou Zhuang; Hong Liu 005; Enmin Song; Coskun Cetinkaya; Chih-Cheng Hung (BrainLes@MICCAI (2), 2022)

FaceOri: Tracking Head Position and Orientation Using Ultrasonic Ranging on Earphones. - Yuntao Wang 001; Jiexin Ding; Ishan Chatterjee; Farshid Salemi Parizi; Yuzhou Zhuang; Yukang Yan; Shwetak N. Patel; Yuanchun Shi (CHI, 2022)

A bidirectional multilayer contrastive adaptation network with anatomical structure preservation for unpaired cross-modality medical image segmentation. - Hong Liu 005; Yuzhou Zhuang; Enmin Song; Xiangyang Xu; Chih-Cheng Hung (Comput. Biol. Medicine, 2022)

APRNet: A 3D Anisotropic Pyramidal Reversible Network With Multi-Modal Cross-Dimension Attention for Brain Tissue Segmentation in MR Images. - Yuzhou Zhuang; Hong Liu 005; Enmin Song; Guangzhi Ma; Xiangyang Xu; Chih-Cheng Hung (IEEE J. Biomed. Health Informatics, 2022)

A 3D Multi-Style Cross-Modality Segmentation Framework for Segmenting Vestibular Schwannoma and Cochlea. - Yuzhou Zhuang (CoRR, 2023)

A 3D Cross-Modality Feature Interaction Network With Volumetric Feature Alignment for Brain Tumor and Tissue Segmentation. - Yuzhou Zhuang; Hong Liu 005; Enmin Song; Chih-Cheng Hung (IEEE J. Biomed. Health Informatics, 2023)

A 3D boundary-guided hybrid network with convolutions and Transformers for lung tumor segmentation in CT images. - Hong Liu 005; Yuzhou Zhuang; Enmin Song; Yongde Liao; Guanchao Ye; Fan Yang; Xiangyang Xu; Xvhao Xiao; Chih-Cheng Hung (Comput. Biol. Medicine, 2024)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)