Rahul C. Deo
Cardiology and Cardiovascular Medicine · 2013–2018
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Cardiology and Cardiovascular Medicine — 22 citations into it; #149 of 906 by trust here, #242 by citations
- Molecular Biology — 16 citations into it
- Artificial Intelligence — 11 citations into it; #17,558 of 35,345 by trust here, #18,586 by citations
- Representation & Self-Supervised Learning — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Rahul C. Deo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dani Yogatama
- Vladimir Naumovich Vapnik
- Eric R. Ziegel
- Yoshua Bengio
- Manaal Faruqui
- Leo Breiman
- Jerome H. Friedman
- Isabelle M Guyon
- Robert Tibshirani
- Michelle L. James
Who trusts Rahul C. Deo overall
- Guang Yang
- Qinghao Ye
- Jun Xia
- Harini Suresh
- Liu Ziyin
- Zekai Chen
- Daniyal Rajput
- Gopi Battineni
- Sameer Quazi
- Martina Raue
Papers from Rahul C. Deo's perspective
Ordered by how strongly the researchers Rahul C. Deo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Type 2 innate signals stimulate fibro/adipogenic progenitors to facilitate muscle regeneration (2013) — 774 citations
- Fully Automated Echocardiogram Interpretation in Clinical Practice (2018) — 826 citations
- Machine Learning in Medicine (2015) — 4,025 citations
- Phenomapping for Novel Classification of Heart Failure with Preserved Ejection Fraction (2014) — 919 citations