Search Publication
. 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)
 (226.04 KB)
 (226.04 KB)
 (226.04 KB). Nonlinear analysis toolbox for neurodegenerative diseases and aging. . 2016.  (9.74 MB)
 (9.74 MB)
 (9.74 MB)
 (9.74 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)
 (1.6 MB)
 (1.6 MB)
 (1.6 MB) 
       ]
]