Tongxue Zhou - RankMe

39 papers B 2Journal 30Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hierarchical teacher-student learning framework with adaptive cross-modal fusion for brain tumor segmentation. Expert Syst. Appl. Tongxue Zhou, Su Ruan, Jinming Duan, Haigen Hu, Yanda Meng, Ling Huang, Defu Yang, Bingbing Jiang, Tingjin Luo, Zhiwei Ji, Baiying Lei
2026	J	`jnl`	A reliable framework for brain tumor segmentation via multi-modal fusion and uncertainty modeling. Inf. Fusion Tongxue Zhou, Mingyang Li, Su Ruan, Tingjin Luo, Bingbing Jiang, Junan Zhu, Ping Ma, Defu Yang, Guang Yang
2026	J	`jnl`	BUFNet: Boundary-aware and uncertainty-driven multi-modal fusion network for MR brain tumor segmentation. Medical Image Anal. Tongxue Zhou, Su Ruan, Baiying Lei
2026	J	`jnl`	DDConv: Dynamic Dilated Convolution. IEEE Trans. Artif. Intell. Haigen Hu, Chenghan Yu, Qianwei Zhou, Qiu Guan, Tongxue Zhou
2026	J	`jnl`	DFuse-Net: Disentangled feature fusion with uncertainty-aware learning for reliable multi-modal brain tumor segmentation. Medical Image Anal. Tongxue Zhou, Zheng Wang, Su Ruan, Yanda Meng, Jinming Duan, Baiying Lei
2025	J	`jnl`	Boundary-aware and cross-modal fusion network for enhanced multi-modal brain tumor segmentation. Pattern Recognit. Tongxue Zhou
2025	—	`conf`	DFuse-Net: Disentangled Multi-Modal Fusion Via Contrastive and Consistency-Aware Learning for Reliable Brain Tumor Segmentation. BIBM Tongxue Zhou, Zheng Wang, Mingyang Li, Nan Zhang, Huiling Chen, Yanda Meng, Zhiwei Ji
2025	J	`jnl`	Learning deep feature representations for multi-modal MR brain tumor segmentation. Neurocomputing Tongxue Zhou, Zheng Wang, Xiaohui Liu, Weibo Liu, Shan Zhu
2024	J	`jnl`	M2GCNet: Multi-Modal Graph Convolution Network for Precise Brain Tumor Segmentation Across Multiple MRI Sequences. IEEE Trans. Image Process. Tongxue Zhou
2024	J	`jnl`	Multi-modal brain tumor segmentation via disentangled representation learning and region-aware contrastive learning. Pattern Recognit. Tongxue Zhou
2023	J	`jnl`	A literature survey of MR-based brain tumor segmentation with missing modalities. Comput. Medical Imaging Graph. Tongxue Zhou, Su Ruan, Haigen Hu
2023	J	`jnl`	Feature fusion and latent feature learning guided brain tumor segmentation and missing modality recovery network. Pattern Recognit. Tongxue Zhou
2023	J	`jnl`	Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation. Biomed. Signal Process. Control. Tongxue Zhou
2023	J	`jnl`	Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. Comput. Medical Imaging Graph. Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan
2023	J	`jnl`	Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. CoRR Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan
2023	J	`jnl`	Uncertainty quantification and attention-aware fusion guided multi-modal MR brain tumor segmentation. Comput. Biol. Medicine Tongxue Zhou, Shan Zhu
2022	J	`jnl`	A Tri-Attention fusion guided multi-modal segmentation network. Pattern Recognit. Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
2022	—	`—`	Deep learning for semantic segmentation in multimodal medical images : application on brain tumor segmentation from multimodal magnetic resonance imaging. (Apprentissage profond pour la segmentation sémantique d'images médicales multimodales : applications à la segmentation des tumeurs cérébrales à partir d'images IRM multimodales). Tongxue Zhou
2022	J	`jnl`	Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation. Pattern Recognit. Lett. Tongxue Zhou, Pierre Vera, Stéphane Canu, Su Ruan
2022	B	`conf`	Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning. ICPR Tongxue Zhou, Alexandra Noeuveglise, Fethi Ghazouani, Romain Modzelewski, Sébastien Thureau, Maxime Fontanilles, Su Ruan
2021	J	`jnl`	3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	—	`conf`	A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation. MICAD Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	A Tri-attention Fusion Guided Multi-modal Segmentation Network. CoRR Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
2021	J	`jnl`	Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism. Int. J. Imaging Syst. Technol. Tongxue Zhou, Stéphane Canu, Su Ruan
2021	J	`jnl`	Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities. Neurocomputing Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities. IEEE Trans. Image Process. Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	B	`conf`	3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. ICPR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	—	`conf`	A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation. ISBI Tongxue Zhou, Su Ruan, Yu Guo, Stéphane Canu
2020	J	`jnl`	A review: Deep learning for medical image segmentation using multi-modality fusion. CoRR Tongxue Zhou, Su Ruan, Stéphane Canu
2020	J	`jnl`	An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism. CoRR Tongxue Zhou, Stéphane Canu, Su Ruan
2020	—	`conf`	Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. MICCAI (4) Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	J	`jnl`	Brain tumor segmentation with missing modalities via latent multi-source correlation representation. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	J	`jnl`	Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation. Comput. Medical Imaging Graph. Tongxue Zhou, Stéphane Canu, Su Ruan
2020	—	`conf`	Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy. ISBI Haigen Hu, Leizhao Shen, Tongxue Zhou, Pierre Decazes, Pierre Vera, Su Ruan
2019	J	`jnl`	A review: Deep learning for medical image segmentation using multi-modality fusion. Array Tongxue Zhou, Su Ruan, Stéphane Canu
2019	—	`conf`	Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI. MLMI@MICCAI Tongxue Zhou, Su Ruan, Haigen Hu, Stéphane Canu
2018	J	`jnl`	Extended scale invariant local binary pattern for background subtraction. IET Image Process. Dongdong Zeng, Ming Zhu, Fang Xu, Tongxue Zhou