no code implementations • 10 Sep 2020 • Axel Wismüller, Adora M. DSouza, Anas Z. Abidin
Finally, we demonstrate the applicability of lsNGC to estimating causality in large, real-world systems by inferring directional nonlinear, multivariate causal relationships among a large number of relatively short time-series acquired from functional Magnetic Resonance Imaging (fMRI) data of the human brain.
no code implementations • 11 Jun 2020 • Adora M. DSouza, Anas Z. Abidin, Axel Wismüller
Our results suggest that, in addition to using sophisticated network architectures, a good learning rate, scheduler and a robust optimizer can boost performance.
3 code implementations • 18 Jan 2018 • Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismuller, Chenliang Xu
The major difficulty of our segmentation model comes with the fact that the location, structure, and shape of gliomas vary significantly among different patients.