Carolina Wählby

Computer Vision and Pattern Recognition · 2003–2020

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Carolina Wählby trusts overall

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

  1. Gunilla Borgefors
  2. Luc M. Vincent
  3. Norberto Malpica
  4. Serge Beucher
  5. Pierre Soille
  6. C. Ortiz de Solórzano

Who trusts Carolina Wählby overall

  1. Anne E Carpenter
  2. Oren Z. Kraus
  3. Fuyong Xing
  4. Juan C. Caicedo
  5. Budi Zhao
  6. Omar Al-Kofahi
  7. Metin Nafi Gurcan
  8. Thouis Raymond Jones
  9. Ben T Grys
  10. Christophe Zimmer

Papers from Carolina Wählby's perspective

Ordered by how strongly the researchers Carolina Wählby 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. Distance transformations in digital images
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  5. The Importance of Skip Connections in Biomedical Image Segmentation
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers