Ibrahim Turkoglu
Radiology, Nuclear Medicine and Imaging · 2020
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 24 citations into it; #2,181 of 3,265 by trust here, #2,914 by citations
- Artificial Intelligence — 13 citations into it; #28,321 of 35,345 by trust here, #30,347 by citations
- Computer Vision and Pattern Recognition — 9 citations into it; #17,382 of 21,575 by trust here, #19,310 by citations
Whom Ibrahim Turkoglu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ibrahim Turkoglu overall
Papers from Ibrahim Turkoglu's perspective
Ordered by how strongly the researchers Ibrahim Turkoglu trusts endorse each paper. Same corpus, a different order for every researcher.
- COVID-19 Image Data Collection
- Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label
- COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images (arXiv.org)
- Detection of Coronavirus Disease (COVID-19) Based on Deep Features
- Automated detection of COVID-19 cases using deep neural networks with X-ray images (Comput. Biol. Medicine)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia (New England Journal of Medicine)
- Densely Connected Convolutional Networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)