Ankita Srivastava

Radiology, Nuclear Medicine and Imaging · with Agrawal · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ankita Srivastava trusts overall

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

  1. Kaiming He
  2. Tianqi Chen
  3. Linda Wang

Papers from Ankita Srivastava's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Multi-Scale Context Aggregation by Dilated Convolutions
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. XGBoost: A Scalable Tree Boosting System
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19) (European Radiology)

Their papers