Siddhartha Sikdar

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 Siddhartha Sikdar trusts overall

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

  1. Sergey Ioffe

Papers from Siddhartha Sikdar's perspective

Ordered by how strongly the researchers Siddhartha Sikdar 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. ImageNet classification with deep convolutional neural networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers