Mannudeep K. Kalra

Computer Vision and Pattern Recognition · 2004–2018

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Radiology, Nuclear Medicine and Imaging — 48 citations into it; #3,112 of 3,265 by trust here, #641 by citations
• Biomedical Engineering — 36 citations into it; #10,186 of 10,734 by trust here, #2,627 by citations
• Generative Models — 27 citations into it
• Artificial Intelligence — 25 citations into it
• Optimization & Training — 11 citations into it

Whom Mannudeep K. Kalra trusts overall

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

1. Diederik P. Kingma
2. Ge Wang
3. David J. Brenner
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Jimmy Ba
7. Olaf Ronneberger
8. Alex Krizhevsky

Who trusts Mannudeep K. Kalra overall

1. E. Hall
2. David J. Brenner
3. D. Lichtenstein

Papers from Mannudeep K. Kalra's perspective

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

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

Their papers

• Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss (2017) — 1,435 citations
• Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network (2017) — 1,621 citations
• Strategies for CT radiation dose optimization. (2004) — 1,173 citations
• 3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network (2018) — 392 citations
• Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction (2018) — 379 citations
• Techniques and applications of automatic tube current modulation for CT. (2004) — 741 citations