Marie-Pierre Revel

Artificial Intelligence · 2007–2018

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

Subfields

Whom Marie-Pierre Revel trusts

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

  1. Sebastian Ruder (in Artificial Intelligence)

Papers from Marie-Pierre Revel's perspective

Ordered by how strongly the researchers Marie-Pierre Revel trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Fully convolutional networks for semantic segmentation
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  4. An Overview of Multi-Task Learning in Deep Neural Networks
  5. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
  6. Dense image registration through MRFs and efficient linear programming (Medical Image Anal.)
  7. Deep Learning for Medical Image Analysis
  8. Multi-Atlas Segmentation of Biomedical Images: A Survey (Medical Image Anal.)
  9. Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network (IEEE Transactions on Medical Imaging)
  10. ImageNet classification with deep convolutional neural networks

Their papers