Xinqi Dong
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Health Informatics — 19 citations into it
- Health Information Management — 16 citations into it
- Radiology, Nuclear Medicine and Imaging — 16 citations into it
Whom Xinqi Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Xinqi Dong's perspective
Ordered by how strongly the researchers Xinqi Dong trusts endorse each paper. Same corpus, a different order for every researcher.
- A training algorithm for optimal margin classifiers
- Statistical Inference for Probabilistic Functions of Finite State Markov Chains
- Dermatologist-level classification of skin cancer with deep neural networks
- High-performance medicine: the convergence of human and artificial intelligence
- Scalable and accurate deep learning with electronic health records
- Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features (Nature Communications)
- The practical implementation of artificial intelligence technologies in medicine
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- Artificial intelligence in healthcare: past, present and future
- Big data and machine learning algorithms for health-care delivery. (The Lancet Oncology)