Won-Chul Bang

Radiology, Nuclear Medicine and Imaging · 2017

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

Subfields

Whom Won-Chul Bang trusts

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

  1. Kunio Doi (in Radiology, Nuclear Medicine and Imaging)

Papers from Won-Chul Bang's perspective

Ordered by how strongly the researchers Won-Chul Bang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. Caffe: Convolutional Architecture for Fast Feature Embedding
  3. Representation Learning: A Review and New Perspectives
  4. Contour Detection and Hierarchical Image Segmentation
  5. Latent feature representation with stacked auto-encoder for AD/MCI diagnosis (Brain Structure and Function)
  6. Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
  7. Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans (Scientific Reports)
  8. Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
  9. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
  10. Automated lung segmentation for thoracic CT impact on computer-aided diagnosis. (Academic Radiology)

Their papers