Francisco P. M. Oliveira

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it; #11,575 of 21,575 by trust here, #17,258 by citations
• Radiology, Nuclear Medicine and Imaging — 18 citations into it
• Biomedical Engineering — 11 citations into it; #3,577 of 10,734 by trust here, #8,509 by citations
• Aerospace Engineering — 10 citations into it
• Computational Mechanics — 8 citations into it

Whom Francisco P. M. Oliveira trusts overall

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

1. Josien P. W. Pluim
2. J. B. Antoine Maintz
3. John Ashburner
4. Tom Kamiel Magda Vercauteren
5. Philippe Thévenaz
6. Jan Modersitzki
7. John F. Canny
8. Serge Beucher
9. Frederik Maes
10. Max A. Viergever

Who trusts Francisco P. M. Oliveira overall

1. András P. Keszei
2. Jiayuan Li
3. Rui Liao
4. Junhao Wen
5. Benjamin Berkels
6. Qingwu Hu
7. Christoph Sommer
8. Shun Miao
9. Elina Thibeau-Sutre
10. Thomas Martin Deserno

Papers from Francisco P. M. Oliveira's perspective

Ordered by how strongly the researchers Francisco P. M. Oliveira trusts endorse each paper. Same corpus, a different order for every researcher.

1. Alignment by Maximization of Mutual Information
2. Nonrigid registration using free-form deformations: application to breast MR images
3. Consistent image registration (IEEE Transactions on Medical Imaging)
4. A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations (International Conference on Medical Image Computing and Computer-Assisted Intervention)
5. A Method for Registration of 3-D Shapes
6. Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms (International Journal of Computer Vision)
7. ImageNet classification with deep convolutional neural networks
8. Image registration by maximization of combined mutual information and gradient information (IEEE Transactions on Medical Imaging)
9. A fast diffeomorphic image registration algorithm (NeuroImage)
10. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)

Their papers

• Medical image registration: a review (2014) — 796 citations