Aristeidis Sotiras

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 5 papers; trusts 234 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 159 citations into it; #7,134 of 21,575 by trust here, #8,722 by citations
• Radiology, Nuclear Medicine and Imaging — 58 citations into it; #3,198 of 3,265 by trust here, #971 by citations
• Aerospace Engineering — 36 citations into it; #5,006 of 6,421 by trust here, #4,762 by citations
• Computational Mechanics — 36 citations into it
• Biomedical Engineering — 25 citations into it
• Artificial Intelligence — 18 citations into it; #31,398 of 35,345 by trust here, #34,943 by citations
• Geometry and Topology — 13 citations into it
• Cognitive Neuroscience — 12 citations into it; #8,855 of 10,852 by trust here, #10,720 by citations

Whom Aristeidis Sotiras trusts overall

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

1. David G. Lowe
2. Jan Modersitzki
3. Vladimir Kolmogorov
4. John Ashburner
5. Nikos Komodakis
6. Tom Kamiel Magda Vercauteren
7. Cordelia Schmid
8. Daniel Rueckert
9. Ben Glocker
10. Xavier Pennec

Who trusts Aristeidis Sotiras overall

1. Arvid Lundervold
2. András P. Keszei
3. Enzo Ferrante
4. Nikos Paragios
5. Xingyu Jiang
6. Benjamin Berkels
7. Juan Eugenio Iglesias
8. Jiayi Ma
9. Zhe Guo
10. Bob D. de Vos

Papers from Aristeidis Sotiras's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging (2018) — 7 citations
• Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features (2017) — 2,907 citations
• Deformable Medical Image Registration: A Survey (2013) — 1,642 citations
• Deformable medical image registration: setting the state of the art with discrete methods. (2011) — 218 citations
• DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting (2009) — 386 citations