Victor Alves
Radiology, Nuclear Medicine and Imaging · 2012–2018
A researcher in the Science corpus: 3 papers; trusts 63 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 53 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it; #15,632 of 21,575 by trust here, #5,464 by citations
- Artificial Intelligence — 15 citations into it
- Pediatrics, Perinatology and Child Health — 15 citations into it
- Neurology — 14 citations into it; #737 of 1,455 by trust here, #241 by citations
- Cognitive Neuroscience — 11 citations into it
- Orthopedics and Sports Medicine — 10 citations into it
- Model Architectures — 6 citations into it
Whom Victor Alves trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Derek K. Jones
- Yann LeCun
- David S. Tuch
- Ilya Sutskever
- Karen Simonyan
- Kaiming He
- Xavier Glorot
Who trusts Victor Alves overall
Papers from Victor Alves's perspective
Ordered by how strongly the researchers Victor Alves trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images (2016) — 2,370 citations
- Understanding and Interpreting Machine Learning in Medical Image Computing Applications (2018) — 82 citations
- A hitchhiker's guide to diffusion tensor imaging (2012) — 859 citations