Matthew J. Clarkson

Radiology, Nuclear Medicine and Imaging · 2010–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew J. Clarkson trusts

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

  1. John Ashburner (in Radiology, Nuclear Medicine and Imaging)

Papers from Matthew J. Clarkson's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Fully convolutional networks for semantic segmentation
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. Identity Mappings in Deep Residual Networks
  5. Measuring the thickness of the human cerebral cortex from magnetic resonance images. (Proceedings of the National Academy of Sciences of the United States of America)
  6. A fast diffeomorphic image registration algorithm (NeuroImage)
  7. Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
  8. Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis (NeuroImage)
  9. A voxel-based morphometric study of ageing in 465 normal adult human brains (5th IEEE EMBS International Summer School on Biomedical Imaging, 2002.)
  10. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository (Journal of digital imaging)

Their papers