Sheng Xu
Nature Communications · with Turkbey · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sheng Xu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- David F. Shanno (in Optimization & Training)
Papers from Sheng Xu's perspective
Ordered by how strongly the researchers Sheng Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Learning
- MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration (Medical Image Anal.)
- Learning to compare image patches via convolutional neural networks
- A Rapidly Convergent Descent Method for Minimization
- Conditioning of Quasi-Newton Methods for Function Minimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- CA : A Cancer Journal for Clinicians
- Multimodal image-guided prostate fusion biopsy based on automatic deformable registration
- Comparison of MR/Ultrasound Fusion–Guided Biopsy With Ultrasound-Guided Biopsy for the Diagnosis of Prostate Cancer (Journal of the American Medical Association (JAMA))
Their papers
- Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets (2020) — 535 citations
- Learning deep similarity metric for 3D MR–TRUS image registration (2018) — 124 citations