Parag V. Chitnis

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 Parag V. Chitnis trusts

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

  1. Christian Szegedy (in Artificial Intelligence)
  2. Sergey Ioffe (in Artificial Intelligence)

Papers from Parag V. Chitnis's perspective

Ordered by how strongly the researchers Parag V. Chitnis 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. Biomedical photoacoustic imaging (Interface Focus)
  4. Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media
  5. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes (IEEE Transactions on Medical Imaging)
  6. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
  7. Using deep learning to enhance cancer diagnosis and classication
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers