Yongjun Wang
Computer Vision and Pattern Recognition · with Dong · 2011–2017
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Yongjun Wang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal (in Computer Vision and Pattern Recognition)
Papers from Yongjun Wang's perspective
Ordered by how strongly the researchers Yongjun Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Pattern Recognition and Machine Learning
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Research Paper: Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports
- Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach (Journal of Biomedical Informatics)
- Deep Learning for Health Informatics
- Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment
- An artificial intelligence platform for the multihospital collaborative management of congenital cataracts (Nature Biomedical Engineering)
- Radiomics: Images Are More than Pictures, They Are Data (Radiology)
- Learning and relearning in Boltzmann machines
Their papers
- Artificial intelligence in healthcare: past, present and future (2017) — 3,738 citations
- Stroke and stroke care in China: huge burden, significant workload, and a national priority. (2011) — 751 citations