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Stéphane Canu
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Publications
- 2022
- [j34]Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu:
A Tri-Attention fusion guided multi-modal segmentation network. Pattern Recognit. 124: 108417 (2022) - [j33]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) - 2021
- [j29]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) - [j28]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) - [j26]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) - [c60]Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation. MICAD 2021: 3-11 - [i24]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) - [i22]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) - [i20]Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu:
A Tri-attention Fusion Guided Multi-modal Segmentation Network. CoRR abs/2111.01623 (2021) - [i19]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
- [j25]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) - [j24]Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan:
Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian. Digit. Signal Process. 101: 102703 (2020) - [c57]Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. ICPR 2020: 10243-10250 - [c56]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 - [c55]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 - [i16]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) - [i15]Tongxue Zhou, Stéphane Canu, Su Ruan:
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism. CoRR abs/2004.06673 (2020) - [i14]Tongxue Zhou, Su Ruan, Stéphane Canu:
A review: Deep learning for medical image segmentation using multi-modality fusion. CoRR abs/2004.10664 (2020) - 2019
- [j23]Tongxue Zhou, Su Ruan, Stéphane Canu:
A review: Deep learning for medical image segmentation using multi-modality fusion. Array 3-4: 100004 (2019) - [j22]Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan:
Mixed Integer Programming For Sparse Coding: Application to Image Denoising. IEEE Trans. Computational Imaging 5(3): 354-365 (2019) - [c48]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
- [c45]Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan:
K-SVD with a Real ℓ0 Optimization: Application to Image Denoising. MLSP 2018: 1-6 - 2017
- [i6]Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan:
Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire. CoRR abs/1709.05937 (2017)
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