Ziynet Pamuk

Radiology, Nuclear Medicine and Imaging · 2020

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 26 citations into it; #1,119 of 3,265 by trust here, #1,332 by citations
• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it; #11,569 of 21,575 by trust here, #9,722 by citations
• Infectious Diseases — 6 citations into it

Whom Ziynet Pamuk trusts overall

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

1. Ioannis D. Apostolopoulos
2. Biraja Ghoshal
3. Ferhat Ucar
4. Dilbag Singh

Who trusts Ziynet Pamuk overall

1. M. Ahsan
2. Chiranjibi Sitaula
3. Khalid El Asnaoui

Papers from Ziynet Pamuk's perspective

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

1. ImageNet Large Scale Visual Recognition Challenge
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. A Survey on Transfer Learning
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Deep Learning
10. Long Short-Term Memory

Their papers

• Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks (2020) — 1,859 citations