Dina M. Ibrahim
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 Dina M. Ibrahim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Dina M. Ibrahim's perspective
Ordered by how strongly the researchers Dina M. Ibrahim 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)
- 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
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Human-level control through deep reinforcement learning