Mohamad Habes
Cognitive Neuroscience · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 52 citations into it
- Psychiatry and Mental health — 45 citations into it
- Radiology, Nuclear Medicine and Imaging — 43 citations into it
- Physiology — 33 citations into it
- Statistics and Probability — 5 citations into it
Whom Mohamad Habes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christos Davatzikos
- Peter Fransson
- Ronald C. Petersen
- Bruce Fischl
- John Ashburner
- Hui Zou
- Brendan J. Frey
- Trevor J. Hastie
- Liang Wang
- Steven Lemm
Who trusts Mohamad Habes overall
Papers from Mohamad Habes's perspective
Ordered by how strongly the researchers Mohamad Habes trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Dropout: a simple way to prevent neural networks from overfitting
- Densely Connected Convolutional Networks
- Visualizing and Understanding Convolutional Networks
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
- ImageNet classification with deep convolutional neural networks
- Voxel-based morphometry--the methods.
- TensorFlow: A system for large-scale machine learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide. (2020) — 356 citations
- Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan (2019) — 521 citations
- A review on neuroimaging‐based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages (2017) — 597 citations