Suryakanth R. Gurudu

Computer Vision and Pattern Recognition · 2006–2017

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #7,393 of 21,575 by trust here, #9,305 by citations
• Oncology — 23 citations into it; #161 of 1,698 by trust here, #859 by citations
• Artificial Intelligence — 22 citations into it
• Model Architectures — 8 citations into it

Whom Suryakanth R. Gurudu trusts overall

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

1. Jorge Bernal
2. Alex Krizhevsky
3. Kunihiko Fukushima
4. Kaiming He
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Stavros A. Karkanis
8. F. Sánchez
9. Xavier Glorot
10. Ilya Sutskever

Who trusts Suryakanth R. Gurudu overall

1. Md Mostafijur Rahman
2. Faisal Mahmood
3. Deng-Ping Fan
4. Xiaoqi Zhao
5. Ange Lou
6. Yundong Zhang
7. Debesh Jha
8. Tao Zhou
9. B. Dong
10. Qihang Zhou

Papers from Suryakanth R. Gurudu's perspective

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

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

Their papers

• Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge (2017) — 414 citations
• Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information (2016) — 1,154 citations
• Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? (2016) — 2,955 citations
• Adverse events associated with ERCP. (2017) — 744 citations
• Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally (2017) — 409 citations
• A Meta-Analysis of the Yield of Capsule Endoscopy Compared to Other Diagnostic Modalities in Patients with Non-Stricturing Small Bowel Crohn's Disease (2006) — 611 citations