Mahsa Shakeri

2016

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Mahsa Shakeri trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Brian Patenaude
2. Stephen M. Smith
3. Clifford R. Jack Jr.

Papers from Mahsa Shakeri's perspective

Ordered by how strongly the researchers Mahsa Shakeri trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Networks for Pattern Recognition
2. A Bayesian model of shape and appearance for subcortical brain segmentation (NeuroImage)
3. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods (Journal of Magnetic Resonance Imaging)
4. Magnetic resonance imaging of the entorhinal cortex and hippocampus in mild cognitive impairment and Alzheimer's disease (Journal of Neurology Neurosurgery & Psychiatry)
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Spectral-Based Shape Features for Alzheimer's Disease Classification (2016) — 46 citations