Amira Y. Haikal
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Amira Y. Haikal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Amira Y. Haikal's perspective
Ordered by how strongly the researchers Amira Y. Haikal trusts endorse each paper. Same corpus, a different order for every researcher.
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- What is the best multi-stage architecture for object recognition?
- Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks (International Conference on Pattern Recognition Applications and Methods)
- Deep Learning for Computer Vision: A Brief Review
- Regional coherence changes in the early stages of Alzheimer's disease: A combined structural and resting-state functional MRI study (NeuroImage)
- A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease (NeuroImage)
- Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge (NeuroImage)
- Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation (Medical Image Anal.)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Deep Learning Approach for Early Detection of Alzheimer’s Disease (2021) — 345 citations