Tongxue Zhou
Tongxue Zhou
Institut National des Sciences Appliquées Rouen Normandie, Chinese Academy of Sciences
Verified email at univ-rouen.fr
Title
Cited by
Cited by
Year
A review: Deep learning for medical image segmentation using multi-modality fusion
T Zhou, S Ruan, S Canu
Array 3, 100004, 2019
1312019
An automatic covid-19 ct segmentation based on u-net with attention mechanism
T Zhou, S Canu, S Ruan
arXiv preprint arXiv:2004.06673, 2020
272020
Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism
T Zhou, S Canu, S Ruan
International Journal of Imaging Systems and Technology 31 (1), 16-27, 2021
232021
Scale adaptive kernelized correlation filter tracker with feature fusion
T Zhou, M Zhu, D Zeng, H Yang
Mathematical Problems in Engineering 2017, 2017
102017
Extended scale invariant local binary pattern for background subtraction
D Zeng, M Zhu, F Xu, T Zhou
IET Image Processing 12 (8), 1292-1302, 2018
92018
Robust background subtraction via the local similarity statistical descriptor
D Zeng, M Zhu, T Zhou, F Xu, H Yang
Applied Sciences 7 (10), 989, 2017
92017
A multi-modality fusion network based on attention mechanism for brain tumor segmentation
T Zhou, S Ruan, Y Guo, S Canu
2020 IEEE 17th international symposium on biomedical imaging (ISBI), 377-380, 2020
72020
A review: Deep learning for medical image segmentation using multi-modality fusion. Array 3–4, 100004
T Zhou, S Ruan, S Canu
62019
Brain tumor segmentation with missing modalities via latent multi-source correlation representation
T Zhou, S Canu, P Vera, S Ruan
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 …, 2020
52020
Moving target detection of the video images
TX Zhou, M Zhu
Chinese Journal of Liquid Crystals and Displays 32 (1), 40-47, 2017
52017
Lymphoma segmentation in PET images based on multi-view and Conv3D fusion strategy
H Hu, L Shen, T Zhou, P Decazes, P Vera, S Ruan
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1197-1200, 2020
22020
Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI
T Zhou, S Ruan, H Hu, S Canu
International Workshop on Machine Learning in Medical Imaging, 574-582, 2019
12019
Conditional generator and multi-sourcecorrelation guided brain tumor segmentation with missing MR modalities
T Zhou, S Canu, P Vera, S Ruan
arXiv preprint arXiv:2105.13013, 2021
2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
T Zhou, S Canu, P Vera, S Ruan
IEEE Transactions on Image Processing 30, 4263-4274, 2021
2021
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation
T Zhou, S Canu, P Vera, S Ruan
International Conferenc on Medical Image and Computer-Aided Diagnosis, 2021
2021
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint
T Zhou, S Canu, P Vera, S Ruan
2020 25th International Conference on Pattern Recognition (ICPR), 10243-10250, 2021
2021
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation
T Zhou, S Canu, S Ruan
Computerized Medical Imaging and Graphics 86, 101811, 2020
2020
A template consensus method for visual tracking
T Zhou, D Zeng, M Zhu, A Kuijper
Optoelectronics Letters 15 (1), 70-74, 2019
2019
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