Masoumeh Haghpanahi

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #32,634 of 35,345 by trust here, #18,186 by citations
• Cardiology and Cardiovascular Medicine — 11 citations into it; #678 of 906 by trust here, #207 by citations
• Optimization & Training — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 7 citations into it

Whom Masoumeh Haghpanahi trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Sergey Ioffe
4. X. Zhang
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Christian Szegedy

Who trusts Masoumeh Haghpanahi overall

1. Eric J. Topol

Papers from Masoumeh Haghpanahi's perspective

Ordered by how strongly the researchers Masoumeh Haghpanahi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks (2017) — 873 citations
• Cardiologist-Level Arrhythmia Detection and Classification in Ambulatory Electrocardiograms Using a Deep Neural Network (2019) — 2,797 citations