Talha Burak Alakus
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; #2,191 of 3,265 by trust here, #2,914 by citations
- Artificial Intelligence — 13 citations into it; #28,375 of 35,345 by trust here, #30,347 by citations
- Computer Vision and Pattern Recognition — 9 citations into it; #17,425 of 21,575 by trust here, #19,310 by citations
Whom Talha Burak Alakus trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Talha Burak Alakus overall
Papers from Talha Burak Alakus's perspective
Ordered by how strongly the researchers Talha Burak Alakus 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
- Densely Connected Convolutional Networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia (New England Journal of Medicine)