Nada M. Elshennawy
Radiology, Nuclear Medicine and Imaging · 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
- Radiology, Nuclear Medicine and Imaging — 22 citations into it
- Artificial Intelligence — 15 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Nada M. Elshennawy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nada M. Elshennawy's perspective
Ordered by how strongly the researchers Nada M. Elshennawy trusts endorse each paper. Same corpus, a different order for every researcher.
- Dermatologist-level classification of skin cancer with deep neural networks
- Detection of Coronavirus Disease (COVID-19) Based on Deep Features
- Breast cancer detection using deep convolutional neural networks and support vector machines (PeerJ)
- ImageNet: A large-scale hierarchical image database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- COVID-19 Image Data Collection
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- [Asymptomatic infection of COVID-19 and its challenge to epidemic prevention and control]. (Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi)