Alexander Hammers
Computer Vision and Pattern Recognition · 2003–2022
A researcher in the Science corpus: 11 papers; trusts 8 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 43 citations into it; #6,528 of 21,575 by trust here, #3,929 by citations
- Radiology, Nuclear Medicine and Imaging — 24 citations into it; #566 of 3,265 by trust here, #466 by citations
- Biophysics — 5 citations into it; #485 of 1,196 by trust here, #422 by citations
Whom Alexander Hammers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John G. Sled
- Daniel Rueckert
- Torsten Rohlfing
- Nathalie Tzourio-Mazoyer
- Rolf A. Heckemann
- Alex P. Zijdenbos
- Niko Speybroeck
Who trusts Alexander Hammers overall
- Daniel Rueckert
- Rolf A. Heckemann
- Brian B. Avants
- Russell A. Poldrack
- Juan Eugenio Iglesias
- Mert Rory Sabuncu
- Denis P. Shamonin
- Paul Aljabar
- Pierrick Coupé
- David W. Shattuck
Papers from Alexander Hammers's perspective
Ordered by how strongly the researchers Alexander Hammers trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- GENERATIVE ADVERSARIAL NETS
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- A nonparametric method for automatic correction of intensity nonuniformity in MRI data
- Wasserstein GAN
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- On Combining Classifiers
- Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
- A global geometric framework for nonlinear dimensionality reduction.
Their papers
- GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks (2018) — 497 citations
- Diffeomorphic Registration Using B-Splines (2006) — 369 citations
- Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest (2008) — 391 citations
- Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective observational study from the ZOE COVID Study (2022) — 714 citations
- Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study (2021) — 866 citations
- Random forest-based similarity measures for multi-modal classification of Alzheimer's disease (2013) — 454 citations
- A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T) (2010) — 1,815 citations
- Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy (2009) — 947 citations
- In vivo imaging of microglial activation with [11C](R)-PK11195 PET in idiopathic Parkinson's disease. (2006) — 1,107 citations
- Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (2006) — 987 citations
- Three‐dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe (2003) — 1,314 citations