Chung-Ming Chen

Computer Vision and Pattern Recognition · 2016

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

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Chung-Ming Chen trusts

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

1. Vladimir Vezhnevets (in Computer Vision and Pattern Recognition)

Papers from Chung-Ming Chen's perspective

Ordered by how strongly the researchers Chung-Ming Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2. Exploring Strategies for Training Deep Neural Networks
3. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
4. Contour Detection and Hierarchical Image Segmentation
5. Latent feature representation with stacked auto-encoder for AD/MCI diagnosis (Brain Structure and Function)
6. Deep Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation (NeuroImage)
7. Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
8. Distance Regularized Level Set Evolution and Its Application to Image Segmentation
9. Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
10. “GrowCut” - Interactive Multi-Label N-D Image Segmentation By Cellular Automata

Their papers

• Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans (2016) — 730 citations