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NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
. 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures. In Lecture Notes in Computer Vision. Springer; 2017. pp. 150-161.
. 3D Convolutional Neural Networks for Brain Tumor Segmentation. In MICCAI 2016 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2016. (226.04 KB)
. Analysis of the dynamics of gray matter reduction in Alzheimer's Disease. . 2016. (9.47 MB)
. Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. In NIPS 2016 Workshop on Machine Learning for Health. 2016. (1.6 MB)
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