Tongxue Zhou

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Attention Mechanism

Brain Tumor Segmentation

Top Venues

Pattern Recognit.

Comput. Medical Imaging Graph.

Publications

Tongxue Zhou
Multi-modal brain tumor segmentation via disentangled representation learning and region-aware contrastive learning. Pattern Recognit. 149 (2024)
Tongxue Zhou
Feature fusion and latent feature learning guided brain tumor segmentation and missing modality recovery network. Pattern Recognit. 141 (2023)
Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. CoRR (2023)
Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. Comput. Medical Imaging Graph. 106 (2023)
Tongxue Zhou
Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation. Biomed. Signal Process. Control. 81 (2023)
Tongxue Zhou, Su Ruan, Haigen Hu
A literature survey of MR-based brain tumor segmentation with missing modalities. Comput. Medical Imaging Graph. 104 (2023)
Tongxue Zhou, Shan Zhu
Uncertainty quantification and attention-aware fusion guided multi-modal MR brain tumor segmentation. Comput. Biol. Medicine 163 (2023)
Tongxue Zhou, Pierre Vera, Stéphane Canu, Su Ruan
Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation. Pattern Recognit. Lett. 158 (2022)
Tongxue Zhou, Alexandra Noeuveglise, Fethi Ghazouani, Romain Modzelewski, Sébastien Thureau, Maxime Fontanilles, Su Ruan
Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning. ICPR (2022)
Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
A Tri-Attention fusion guided multi-modal segmentation network. Pattern Recognit. 124 (2022)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation. MICAD (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. CoRR (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities. IEEE Trans. Image Process. 30 (2021)
Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
A Tri-attention Fusion Guided Multi-modal Segmentation Network. CoRR (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities. Neurocomputing 466 (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities. CoRR (2021)
Tongxue Zhou, Stéphane Canu, Su Ruan
Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism. Int. J. Imaging Syst. Technol. 31 (1) (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities. CoRR (2021)
Haigen Hu, Leizhao Shen, Tongxue Zhou, Pierre Decazes, Pierre Vera, Su Ruan
Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy. ISBI (2020)
Tongxue Zhou, Stéphane Canu, Su Ruan
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation. Comput. Medical Imaging Graph. 86 (2020)
Tongxue Zhou, Su Ruan, Stéphane Canu
A review: Deep learning for medical image segmentation using multi-modality fusion. CoRR (2020)
Tongxue Zhou, Stéphane Canu, Su Ruan
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism. CoRR (2020)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Brain tumor segmentation with missing modalities via latent multi-source correlation representation. CoRR (2020)
Tongxue Zhou, Su Ruan, Yu Guo, Stéphane Canu
A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation. ISBI (2020)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. ICPR (2020)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. MICCAI (4) (2020)
Tongxue Zhou, Su Ruan, Haigen Hu, Stéphane Canu
Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI. MLMI@MICCAI (2019)
Tongxue Zhou, Su Ruan, Stéphane Canu
A review: Deep learning for medical image segmentation using multi-modality fusion. Array (2019)
Dongdong Zeng, Ming Zhu, Fang Xu, Tongxue Zhou
Extended scale invariant local binary pattern for background subtraction. IET Image Process. 12 (8) (2018)