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A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation.

, , , , and . ISBI, page 692-695. IEEE, (2018)

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Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation., , , and . BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 431-440. Springer, (2020)Automatic Brain Tumor Segmentation with Domain Adaptation., , , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 380-392. Springer, (2018)Assessment of network module identification across complex diseases, , , , , , , , , and 168 other author(s). Nature Methods, 16 (9): 843--852 (2019)(TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients., , , , , , , , , and . NeuroImage, (2020)Sensitivity Analysis of Deep Neural Networks., and . AAAI, page 4943-4950. AAAI Press, (2019)A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation., , , , and . ISBI, page 692-695. IEEE, (2018)A generic fundus image enhancement network boosted by frequency self-supervised representation learning., , , , , , , and . Medical Image Anal., (December 2023)DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 946-954. PMLR, (2024)CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets., and . CoRR, (2019)DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data., , , and . CoRR, (2023)