Daniel Schwarz

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Daniel Schwarz trusts

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

  1. Torsten Rohlfing (in Computer Vision and Pattern Recognition)

Who trusts Daniel Schwarz

  1. Arvid Lundervold (in Computational Mechanics)

Papers from Daniel Schwarz's perspective

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

  1. Understanding the difficulty of training deep feedforward neural networks
  2. Construction of a 3D probabilistic atlas of human cortical structures (NeuroImage)
  3. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
  4. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)
  5. Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable (IEEE Transactions on Medical Imaging)
  6. Ilastik: Interactive learning and segmentation toolkit
  7. elastix: A Toolbox for Intensity-Based Medical Image Registration (IEEE Transactions on Medical Imaging)
  8. On the interpretation of weight vectors of linear models in multivariate neuroimaging
  9. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network (Magnetic Resonance Imaging)
  10. Brain volume in first-episode schizophrenia (British Journal of Psychiatry)

Their papers