Deniz Korkmaz
Radiology, Nuclear Medicine and Imaging · 2020
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 12 citations into it; #1,150 of 3,265 by trust here, #2,603 by citations
- Artificial Intelligence — 10 citations into it; #18,651 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
- Infectious Diseases — 5 citations into it
Whom Deniz Korkmaz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Linda Wang
- Joseph Paul Cohen
- Forrest N. Iandola
- Parnian Afshar
- L. Xia
- Jiuxiang Gu
- Muhammad Enamul Hoque Chowdhury
Who trusts Deniz Korkmaz overall
Papers from Deniz Korkmaz's perspective
Ordered by how strongly the researchers Deniz Korkmaz trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Densely Connected Convolutional Networks
- ImageNet: A large-scale hierarchical image database
- COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)