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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 5, 2024
M2GCNet: Multi-Modal Graph Convolution Network for Precise Brain Tumor Segmentation Across Multiple MRI SequencesTongxue Zhou
Computers in Biology and Medicine|June 18, 2023
Uncertainty quantification and attention-aware fusion guided multi-modal MR brain tumor segmentationTongxue Zhou, Shan Zhu
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 24, 2020
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentationTongxue Zhou, Stéphane Canu, Su Ruan
International Journal of Imaging Systems and Technology|December 28, 2020
Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanismTongxue Zhou, Stéphane Canu, Su Ruan
Medical Image Analysis|November 4, 2025
BUFNet: Boundary-aware and uncertainty-driven multi-modal fusion network for MR brain tumor segmentationTongxue Zhou, Su Ruan, Baiying Lei
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 30, 2022
A literature survey of MR-based brain tumor segmentation with missing modalitiesTongxue Zhou, Su Ruan, Haigen Hu
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 8, 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI ModalitiesTongxue Zhou, Stephane Canu, Pierre Vera, et al.
Medical Image Analysis|December 30, 2025
DFuse-Net: Disentangled feature fusion with uncertainty-aware learning for reliable multi-modal brain tumor segmentationTongxue Zhou, Zheng Wang, Su Ruan, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 22, 2023
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learningTongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, et al.
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