Paul Aljabar

Computer Vision and Pattern Recognition · 2006–2014

A researcher in the Science corpus: 7 papers; trusts 5 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it; #7,970 of 21,575 by trust here, #5,082 by citations
• Biomedical Engineering — 7 citations into it; #10,303 of 10,734 by trust here, #8,044 by citations

Whom Paul Aljabar trusts overall

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

1. Daniel Rueckert
2. Torsten Rohlfing
3. Rolf A. Heckemann
4. Niko Speybroeck
5. Alexander Hammers
6. Brian B. Avants
7. Simon Keith Warfield
8. Trevor J. Hastie
9. Mikhail Belkin
10. Jan Kybic

Who trusts Paul Aljabar overall

1. Juan Eugenio Iglesias
2. Mert Rory Sabuncu
3. Hongzhi Wang
4. Pierrick Coupé
5. Mariano Cabezas
6. François Rousseau
7. Jyrki Lötjönen
8. Daniel Rueckert
9. Tom Kamiel Magda Vercauteren
10. M. Mallar Chakravarty

Papers from Paul Aljabar's perspective

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

1. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
2. On Combining Classifiers
3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. ImageNet classification with deep convolutional neural networks
5. HAMMER: hierarchical attribute matching mechanism for elastic registration (IEEE Transactions on Medical Imaging)
6. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
7. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Advances in functional and structural MR image analysis and implementation as FSL.
10. Unbiased diffeomorphic atlas construction for computational anatomy. (NeuroImage)

Their papers

• Diffeomorphic Registration Using B-Splines (2006) — 369 citations
• Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain (2014) — 388 citations
• Random forest-based similarity measures for multi-modal classification of Alzheimer's disease (2013) — 454 citations
• Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression (2012) — 334 citations
• A dynamic 4D probabilistic atlas of the developing brain (2011) — 313 citations
• Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy (2009) — 947 citations
• Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (2006) — 987 citations