Caroline M. Moore

New England Journal of Medicine · 2013–2018

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Caroline M. Moore trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jon Gauthier (in Generative Models)

Papers from Caroline M. Moore's perspective

Ordered by how strongly the researchers Caroline M. Moore trusts endorse each paper. Same corpus, a different order for every researcher.

1. Spatial Transformer Networks
2. Representation Learning: A Review and New Perspectives
3. Context Encoders: Feature Learning by Inpainting
4. Generative Adversarial Networks
5. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
6. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
7. Conditional generative adversarial nets for convolutional face generation
8. Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
9. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
10. The Foundations of Cost-Sensitive Learning

Their papers

• Weakly-supervised convolutional neural networks for multimodal image registration (2018) — 442 citations
• MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis (2018) — 2,580 citations
• Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks (2017) — 16 citations
• Image-guided prostate biopsy using magnetic resonance imaging-derived targets: a systematic review. (2013) — 626 citations