Sergi Valverde
Computer Vision and Pattern Recognition · NeuroImage · 2017–2019
A researcher in the Science corpus: 4 papers; trusts 140 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 119 citations into it
- Artificial Intelligence — 74 citations into it
- Model Architectures — 37 citations into it
- Radiology, Nuclear Medicine and Imaging — 27 citations into it
- Optimization & Training — 26 citations into it
Whom Sergi Valverde trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Matthew D. Zeiler
- Kaiming He
- Ilya Sutskever
- Sergey Ioffe
- Karen Simonyan
- Christian Szegedy
Who trusts Sergi Valverde overall
Papers from Sergi Valverde's perspective
Ordered by how strongly the researchers Sergi Valverde 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review (2017) — 385 citations
- Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge (2019) — 315 citations
- Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure (2018) — 298 citations
- Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach (2017) — 391 citations