Amir A. Khan

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amir A. Khan trusts overall

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

  1. Sergey Ioffe
  2. Yulia Hristova
  3. Rasool Fakoor

Papers from Amir A. Khan's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Biomedical photoacoustic imaging (Interface Focus)
  8. Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media
  9. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes (IEEE Transactions on Medical Imaging)
  10. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Their papers