Shuhao Wang
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Radiology, Nuclear Medicine and Imaging — 25 citations into it
- Health Informatics — 5 citations into it
Whom Shuhao Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shuhao Wang's perspective
Ordered by how strongly the researchers Shuhao Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- TensorFlow: A system for large-scale machine learning
- Deep Learning
- A survey on deep learning in medical image analysis
- Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
- Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
- Assessment of algorithms for mitosis detection in breast cancer histopathology images (Medical Image Anal.)
- Rethinking Atrous Convolution for Semantic Image Segmentation
- Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
- Deep learning-based classification of mesothelioma improves prediction of patient outcome
- Image analysis and machine learning in digital pathology: Challenges and opportunities (Medical Image Anal.)
Their papers
- Emerging role of deep learning‐based artificial intelligence in tumor pathology (2020) — 388 citations
- Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning (2020) — 350 citations