Christine Preibisch

NeuroImage · 2003–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Christine Preibisch trusts overall

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

1. Kaiming He

Papers from Christine Preibisch's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
3. ImageNet classification with deep convolutional neural networks
4. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
5. Gradient-based learning applied to document recognition
6. Control of goal-directed and stimulus-driven attention in the brain
7. Going deeper with convolutions
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Statistical parametric maps in functional imaging: A general linear approach
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning (2018) — 29 citations
• EEG-correlated fMRI of human alpha activity (2003) — 1,029 citations