Maria Vakalopoulou
Artificial Intelligence · 2018
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
Whom Maria Vakalopoulou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Ruder
- Juan Eugenio Iglesias
- Evan Shelhamer
- Olaf Ronneberger
- Vijay Badrinarayanan
- Ben Glocker
- Marios Anthimopoulos
- Mert Rory Sabuncu
- Jonathan Long
- Geoffrey E. Hinton
Papers from Maria Vakalopoulou's perspective
Ordered by how strongly the researchers Maria Vakalopoulou trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation (2018) — 76 citations
- Demystification of AI-driven medical image interpretation: past, present and future (2018) — 144 citations
- A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study. (2018) — 997 citations