Paul M. Matthews
Radiology, Nuclear Medicine and Imaging · 2000–2022
A researcher in the Science corpus: 33 papers; trusts 33 researchers and is trusted by 51 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 186 citations into it; #491 of 3,265 by trust here, #27 by citations
- Cognitive Neuroscience — 169 citations into it; #689 of 10,852 by trust here, #152 by citations
- Computer Vision and Pattern Recognition — 57 citations into it
- Artificial Intelligence — 37 citations into it
- Statistics and Probability — 28 citations into it
- Signal Processing — 26 citations into it; #1,633 of 7,572 by trust here, #2,990 by citations
- Cellular and Molecular Neuroscience — 16 citations into it
- Media Technology — 13 citations into it
Whom Paul M. Matthews trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Michael X. Cohen
- Stephen M. Smith
- Geoffrey E. Hinton
- Mark Jenkinson
- Dimitri Palaz
- Ronan Collobert
- Quoc V. Le
- Yann LeCun
- Diederik P. Kingma
Who trusts Paul M. Matthews overall
- Huy P Phan
- Olaf Sporns
- Albert Vilamala
- Stephen M. Smith
- Akara Supratak
- Stanislas Chambon
- Randy L. Buckner
- Martijn P. van den Heuvel
- Rasmus M. Birn
- Sajad Mousavi
Papers from Paul M. Matthews's perspective
Ordered by how strongly the researchers Paul M. Matthews trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation (2017) — 431 citations
- Large recurrent microdeletions associated with schizophrenia (2008) — 1,814 citations
- Protocol and quality assurance for carotid imaging in 100,000 participants of UK Biobank: development and assessment (2017) — 40 citations
- Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis (2002) — 2,140 citations
- Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci (2009) — 835 citations
- SARS-CoV-2 is associated with changes in brain structure in UK Biobank (2022) — 1,338 citations
- Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank (2017) — 1,470 citations
- Automated cardiovascular magnetic resonance image analysis with fully convolutional networks (2017) — 706 citations
- Scanning the horizon: towards transparent and reproducible neuroimaging research (2016) — 1,305 citations
- Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks (2016) — 331 citations
- Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016) — 1,045 citations
- Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders (2015) — 330 citations
- UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age (2015) — 11,051 citations
- Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches (2013) — 254 citations
- Osteoporosis epidemiology in UK Biobank: a unique opportunity for international researchers (2013) — 29 citations
- UK Biobank: Current status and what it means for epidemiology (2012) — 508 citations
- DTI measures in crossing-fibre areas: Increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease (2011) — 532 citations
- An 18-kDa Translocator Protein (TSPO) polymorphism explains differences in binding affinity of the PET radioligand PBR28 (2011) — 774 citations
- Longitudinal changes in grey and white matter during adolescence (2010) — 386 citations
- The memory process : neuroscientific and humanistic perspectives (2010) — 39 citations