Andrea Mendizabal
Medical Image Anal. · 2019
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Andrea Mendizabal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Andrea Mendizabal's perspective
Ordered by how strongly the researchers Andrea Mendizabal trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
Their papers
- Simulation of hyperelastic materials in real-time using Deep Learning (2019) — 336 citations