Ian A. Cree

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ian A. Cree trusts overall

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

  1. Radford M. Neal

Who trusts Ian A. Cree overall

  1. Anant Madabhushi

Papers from Ian A. Cree's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Pattern Recognition and Machine Learning
  5. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
  6. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
  7. Exploring Strategies for Training Deep Neural Networks
  8. MatConvNet: Convolutional Neural Networks for MATLAB
  9. A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution (IEEE Transactions on Biomedical Engineering)
  10. Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images (IEEE Transactions on Biomedical Engineering)

Their papers