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ORCIDTongxue Zhou
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2020 – today
- 2024
[j15]Tongxue Zhou
:
Multi-modal brain tumor segmentation via disentangled representation learning and region-aware contrastive learning. Pattern Recognit. 149: 110282 (2024)- [j14]Tongxue Zhou:
M2GCNet: Multi-Modal Graph Convolution Network for Precise Brain Tumor Segmentation Across Multiple MRI Sequences. IEEE Trans. Image Process. 33: 4896-4910 (2024) - 2023
- [j13]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: 104524 (2023) - [j12]Tongxue Zhou, Shan Zhu:
Uncertainty quantification and attention-aware fusion guided multi-modal MR brain tumor segmentation. Comput. Biol. Medicine 163: 107142 (2023) - [j11]Tongxue Zhou, Su Ruan, Haigen Hu:
A literature survey of MR-based brain tumor segmentation with missing modalities. Comput. Medical Imaging Graph. 104: 102167 (2023) - [j10]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: 102218 (2023) - [j9]Tongxue Zhou:
Feature fusion and latent feature learning guided brain tumor segmentation and missing modality recovery network. Pattern Recognit. 141: 109665 (2023) - [i8]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 abs/2304.13725 (2023) - 2022
- [b1]Tongxue Zhou:
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). Normandy University, Caen, France, 2022 - [j8]Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu:
A Tri-Attention fusion guided multi-modal segmentation network. Pattern Recognit. 124: 108417 (2022) - [j7]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: 125-132 (2022) - [c7]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: 4414-4419 - 2021
- [j6]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: 102-112 (2021) - [j5]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): 16-27 (2021) - [j4]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: 4263-4274 (2021) - [c6]Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation. MICAD 2021: 3-11 - [i7]Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. CoRR abs/2102.03111 (2021) - [i6]Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities. CoRR abs/2104.06231 (2021) - [i5]Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu:
A Tri-attention Fusion Guided Multi-modal Segmentation Network. CoRR abs/2111.01623 (2021) - [i4]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 abs/2111.04735 (2021) - 2020
- [j3]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: 101811 (2020) - [c5]Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. ICPR 2020: 10243-10250 - [c4]Tongxue Zhou, Su Ruan, Yu Guo, Stéphane Canu:
A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation. ISBI 2020: 377-380 - [c3]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: 1197-1200 - [c2]Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. MICCAI (4) 2020: 533-541 - [i3]Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
Brain tumor segmentation with missing modalities via latent multi-source correlation representation. CoRR abs/2003.08870 (2020) - [i2]Tongxue Zhou, Stéphane Canu, Su Ruan:
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism. CoRR abs/2004.06673 (2020) - [i1]Tongxue Zhou, Su Ruan, Stéphane Canu:
A review: Deep learning for medical image segmentation using multi-modality fusion. CoRR abs/2004.10664 (2020)
2010 – 2019
- 2019
- [j2]Tongxue Zhou, Su Ruan, Stéphane Canu:
A review: Deep learning for medical image segmentation using multi-modality fusion. Array 3-4: 100004 (2019) - [c1]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: 574-582 - 2018
- [j1]Dongdong Zeng, Ming Zhu, Fang Xu, Tongxue Zhou:
Extended scale invariant local binary pattern for background subtraction. IET Image Process. 12(8): 1292-1302 (2018)
Coauthor Index
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