Dirk Vandermeulen

Computer Vision and Pattern Recognition · 2001–2020

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #7,307 of 21,575 by trust here, #7,499 by citations
• Artificial Intelligence — 20 citations into it
• Radiology, Nuclear Medicine and Imaging — 12 citations into it; #2,206 of 3,265 by trust here, #2,536 by citations
• Optimization & Training — 7 citations into it
• Biomedical Engineering — 5 citations into it; #4,875 of 10,734 by trust here, #9,262 by citations

Whom Dirk Vandermeulen trusts overall

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

1. Igor Vajda
2. Paul A. Viola
3. Diederik P. Kingma
4. Daniel Rueckert
5. Arthur P. Dempster
6. Philippe Thévenaz
7. Vladimir Naumovich Vapni
8. Maxim Berman
9. Yann LeCun
10. Geoffrey E. Hinton

Who trusts Dirk Vandermeulen overall

1. Francisco P. M. Oliveira
2. Alex P. Zijdenbos
3. Alan C. Evans
4. Habib Zaidi
5. Chris A. Cocosco
6. Mark Holden
7. Charu C. Aggarwal
8. João Manuel Ribeiro da Silva Tavares
9. Ender Konukoglu

Papers from Dirk Vandermeulen's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Fully convolutional networks for semantic segmentation
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automated segmentation of multiple sclerosis lesions by model outlier detection (2001) — 555 citations
• Medical image registration using mutual information (2003) — 497 citations
• A unifying framework for partial volume segmentation of brain MR images (2003) — 337 citations
• Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index (2020) — 353 citations
• Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice (2019) — 345 citations
• A Viscous Fluid Model for Multimodal Non-rigid Image Registration Using Mutual Information (2002) — 309 citations