Mathias Prokop

Radiology, Nuclear Medicine and Imaging · 2005–2020

A researcher in the Science corpus: 17 papers; trusts 9 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Mathias Prokop trusts overall

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

  1. Daniel Rueckert
  2. Guido Gerig
  3. Hyunjin Park
  4. Sunil Arya

Who trusts Mathias Prokop overall

  1. Stefan Klein
  2. B. van Ginneken
  3. Xabier Artaechevarria
  4. Marius Staring
  5. Josien P. W. Pluim
  6. Keelin Murphy

Papers from Mathias Prokop's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Improving neural networks by preventing co-adaptation of feature detectors
  4. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  5. Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique (IEEE Transactions on Medical Imaging)
  7. A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. On the importance of initialization and momentum in deep learning
  9. Nearest neighbor pattern classification
  10. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains (NeuroImage)

Their papers