Ching-Po Lin

Radiology, Nuclear Medicine and Imaging · 2008–2012

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ching-Po Lin trusts

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

  1. John Ashburner (in Computer Vision and Pattern Recognition)
  2. Vladimir Naumovich Vapni (in Artificial Intelligence)
  3. David S. Tuch (in Radiology, Nuclear Medicine and Imaging)
  4. Radford M. Neal (in Computer Vision and Pattern Recognition)
  5. Chih-Jen Lin (in Artificial Intelligence)
  6. Vladimir Naumovich Vapnik (in Statistical Learning Theory)
  7. Aixia Guo (in Computational Biology & Bioinformatics)

Papers from Ching-Po Lin's perspective

Ordered by how strongly the researchers Ching-Po Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity (Magnetic Resonance in Medicine)
  2. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
  3. The Nature of Statistical Learning Theory
  4. Pattern Recognition and Machine Learning
  5. Addendum: Regularization and variable selection via the elastic net
  6. Regression Shrinkage and Selection via the Lasso
  7. Q‐ball imaging (Magnetic Resonance in Medicine)
  8. A fast diffeomorphic image registration algorithm (NeuroImage)
  9. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging (Magnetic Resonance in Medicine)
  10. Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data

Their papers