Kersten Diers

Radiology, Nuclear Medicine and Imaging · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kersten Diers trusts overall

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

  1. Bruce Fischl

Papers from Kersten Diers's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Fully convolutional networks for semantic segmentation
  3. Maxout Networks
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. 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)
  9. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  10. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Their papers