Follow
Tongxue Zhou
Tongxue Zhou
Institut National des Sciences Appliquées Rouen Normandie, Chinese Academy of Sciences
Verified email at insa-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
2702019
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
822021
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
452020
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
242021
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
212020
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
172020
Scale adaptive kernelized correlation filter tracker with feature fusion
T Zhou, M Zhu, D Zeng, H Yang
Mathematical Problems in Engineering 2017, 2017
152017
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
112020
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
102018
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
92020
A review: Deep learning for medical image segmentation using multi-modality fusion. Array 3–4, 100004
T Zhou, S Ruan, S Canu
92019
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
Moving target detection of the video images
周同雪, 朱明
液晶与显示 32 (1), 40-47, 2017
62017
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
52019
A review: deep learning for medical image segmentation using multi-modality fusion. Array 3–4, 100004 (2019)
T Zhou, S Ruan, S Canu
52019
Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities
T Zhou, S Canu, P Vera, S Ruan
Neurocomputing 466, 102-112, 2021
42021
A Tri-Attention fusion guided multi-modal segmentation network
T Zhou, S Ruan, P Vera, S Canu
Pattern Recognition 124, 108417, 2022
32022
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
22021
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation
T Zhou, S Canu, P Vera, S Ruan
International Conference on Medical Imaging and Computer-Aided Diagnosis, 3-11, 2021
22021
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
22021
The system can't perform the operation now. Try again later.
Articles 1–20