J. Mohan

Computer Vision and Pattern Recognition · with Guo · 2014

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Mohan trusts overall

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

  1. John Ashburner
  2. Paul Bao
  3. David L. Donoho
  4. Jean-Luc Starck
  5. Pierrick Coupé
  6. Ola Marius Lysaker
  7. Elliot R. McVeigh
  8. S. Aja‐Fernández
  9. Zhou Wang
  10. Aleksandra Pizurica

Papers from J. Mohan's perspective

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

  1. Image quality assessment: from error visibility to structural similarity
  2. A versatile wavelet domain noise filtration technique for medical imaging (IEEE Transactions on Medical Imaging)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Voxel-based morphometry--the methods.
  6. De-noising by soft-thresholding
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. The curvelet transform for image denoising (Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205))
  10. An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images (IEEE Transactions on Medical Imaging)

Their papers