Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
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Hao Chen | Pheng-Ann Heng | Yueming Jin | Qi Dou | Jing Qin | Cheng Chen | Q. Dou | P. Heng | Hao Chen | J. Qin | Yueming Jin | Cheng Chen
[1] Konstantinos Kamnitsas,et al. Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation , 2016, Medical Image Anal..
[2] Kuan-Lun Tseng,et al. Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Dacheng Tao,et al. One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation , 2018, MICCAI.
[4] Maneesh Kumar Singh,et al. DRIT++: Diverse Image-to-Image Translation via Disentangled Representations , 2019, International Journal of Computer Vision.
[5] Ruslan Salakhutdinov,et al. Learning Factorized Multimodal Representations , 2018, ICLR.
[6] Brian B. Avants,et al. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) , 2015, IEEE Transactions on Medical Imaging.
[7] Marleen de Bruijne,et al. Learning Cross-Modality Representations From Multi-Modal Images , 2019, IEEE Trans. Medical Imaging.
[8] Hayit Greenspan,et al. Improving CNN Training using Disentanglement for Liver Lesion Classification in CT , 2018, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[9] Yan Shen,et al. Brain Tumor Segmentation on MRI with Missing Modalities , 2019, IPMI.
[10] Jan Kautz,et al. Multimodal Unsupervised Image-to-Image Translation , 2018, ECCV.
[11] Daniel Rueckert,et al. Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations , 2019, IPMI.
[12] Mohammad Havaei,et al. HeMIS: Hetero-Modal Image Segmentation , 2016, MICCAI.
[13] Marleen de Bruijne,et al. Why Does Synthesized Data Improve Multi-sequence Classification? , 2015, MICCAI.
[14] Sotirios A. Tsaftaris,et al. Multimodal MR Synthesis via Modality-Invariant Latent Representation , 2018, IEEE Transactions on Medical Imaging.
[15] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[16] Gijs van Tulder,et al. Learning Cross-Modality Representations From Multi-Modal Images , 2019, IEEE Transactions on Medical Imaging.
[17] Sébastien Ourselin,et al. Scalable multimodal convolutional networks for brain tumour segmentation , 2017, MICCAI.
[18] Yong Fan,et al. A deep learning model integrating FCNNs and CRFs for brain tumor segmentation , 2017, Medical Image Anal..
[19] Sotirios A. Tsaftaris,et al. Factorised spatial representation learning: application in semi-supervised myocardial segmentation , 2018, MICCAI.