Do-Un Jeong

Journal of Healthcare Engineering · 2019

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

Papers from Do-Un Jeong's perspective

Ordered by how strongly the researchers Do-Un Jeong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  2. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
  3. Neural Architecture Search with Reinforcement Learning
  4. Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks.
  5. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  6. Γ and B
  7. Automatic Tuberculosis Screening Using Chest Radiographs (IEEE Transactions on Medical Imaging)
  8. Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks (arXiv.org)
  9. Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification
  10. Learning to diagnose from scratch by exploiting dependencies among labels

Their papers