Bulat Ibragimov

Medical Image Anal. · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Bulat Ibragimov trusts overall

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

1. Sergey Ioffe
2. Nitish Srivastava
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Ilya Sutskever
7. Ruslan Salakhutdinov

Who trusts Bulat Ibragimov overall

1. Hyunseok Seo
2. Berkman Sahiner
3. Arvid Lundervold
4. Charles Huang
5. Aria Pezeshk

Papers from Bulat Ibragimov's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Dropout: a simple way to prevent neural networks from overfitting
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A benchmark for comparison of dental radiography analysis algorithms (2016) — 380 citations
• Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks (2017) — 472 citations