Moon Ho Park

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 Moon Ho Park trusts

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

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

Papers from Moon Ho Park's perspective

Ordered by how strongly the researchers Moon Ho Park 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. Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans (Scientific Reports)
  7. Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
  8. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
  9. Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
  10. ImageNet classification with deep convolutional neural networks

Their papers