Jie Tian
Computer Vision and Pattern Recognition · European Respiratory Journal · 2009–2020
A researcher in the Science corpus: 11 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 52 citations into it
- Artificial Intelligence — 44 citations into it
- Model Architectures — 10 citations into it
- Cognitive Neuroscience — 8 citations into it
- Epidemiology — 8 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Jie Tian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jie Tian overall
Papers from Jie Tian's perspective
Ordered by how strongly the researchers Jie Tian trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Histograms of oriented gradients for human detection
- Gradient-based learning applied to document recognition
- Backpropagation Applied to Handwritten Zip Code Recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
Their papers
- The Role of Imaging in the Detection and Management of COVID-19: A Review (2020) — 318 citations
- A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis (2020) — 440 citations
- The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges (2019) — 830 citations
- First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows (2019) — 905 citations
- Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning (2019) — 369 citations
- Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification (2017) — 615 citations
- Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer. (2016) — 668 citations
- Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer. (2016) — 1,485 citations
- Multi-scale Convolutional Neural Networks for Lung Nodule Classification (2015) — 617 citations
- A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration (2010) — 307 citations
- Two Faces of the Other-Race Effect: Recognition and Categorisation of Caucasian and Chinese Faces (2009) — 89 citations