Hemant Kumar Aggarwal

Radiology, Nuclear Medicine and Imaging · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 12 citations into it
• Computational Mechanics — 10 citations into it; #7,906 of 10,001 by trust here, #5,567 by citations
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Hemant Kumar Aggarwal trusts overall

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

1. Diederik P. Kingma
2. Jo Schlemper
3. Karol Gregor
4. Patrick Putzky
5. Yann LeCun
6. Stanley H. Chan
7. Jimmy Ba
8. Max Welling
9. Shiqian Ma
10. Geoffrey E. Hinton

Who trusts Hemant Kumar Aggarwal overall

1. Jinxi Xiang
2. Housen Li
3. Greg Ongie
4. Chen Qin
5. Florian Knoll
6. Arvid Lundervold
7. Yonggui Dong
8. Ajil Jalal
9. Johannes Schwab
10. Jo Schlemper

Papers from Hemant Kumar Aggarwal's perspective

Ordered by how strongly the researchers Hemant Kumar Aggarwal 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• MoDL: Model-Based Deep Learning Architecture for Inverse Problems (2017) — 1,267 citations