Farheen Ramzan

Computer Vision and Pattern Recognition · 2019

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 — 12 citations into it
• Radiology, Nuclear Medicine and Imaging — 6 citations into it

Whom Farheen Ramzan trusts overall

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

1. Stephen M. Smith
2. Mark Jenkinson
3. Kaiming He
4. Mark William Woolrich
5. Heung-Il Suk
6. Douglas N. Greve
7. Adrien Payan
8. X. Zhang
9. Yoshua Bengio
10. Jason Yosinski

Papers from Farheen Ramzan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks (2019) — 357 citations