Ferhat Ucar

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

Whom Ferhat Ucar trusts overall

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

  1. Linda Wang
  2. Joseph Paul Cohen
  3. Forrest N. Iandola
  4. Parnian Afshar
  5. L. Xia
  6. Jiuxiang Gu
  7. Muhammad Enamul Hoque Chowdhury
  8. Z. Q. Lin
  9. Alexander Wong
  10. Matthew W. Moskewicz

Who trusts Ferhat Ucar overall

  1. Aras Masood Ismael
  2. Ali Narin
  3. Abdulkadir Sengür
  4. Muhammad Enamul Hoque Chowdhury
  5. Ceren Kaya
  6. Ziynet Pamuk
  7. Tawsifur Rahman

Papers from Ferhat Ucar's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Densely Connected Convolutional Networks

Their papers