S. Krishnan S

Radiology, Nuclear Medicine and Imaging · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Krishnan S trusts

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

  1. J. Urgen Schmidhuber (in Artificial Intelligence)
  2. Kenji Suzuki (in Radiology, Nuclear Medicine and Imaging)
  3. Arvid Lundervold (in Radiology, Nuclear Medicine and Imaging)

Papers from S. Krishnan S's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep learning in neural networks: An overview
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
  5. Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
  6. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
  7. Deep Learning Applications in Medical Image Analysis
  8. Overview of deep learning in medical imaging
  9. Multi-scale Convolutional Neural Networks for Lung Nodule Classification (Information Processing in Medical Imaging)
  10. RETRACTED ARTICLE: Deep learning system to screen coronavirus disease 2019 pneumonia (Applied intelligence (Boston))

Their papers