João Manuel Ribeiro da Silva Tavares
Computer Vision and Pattern Recognition · 2010–2020
A researcher in the Science corpus: 4 papers; trusts 46 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 74 citations into it; #11,574 of 21,575 by trust here, #17,258 by citations
- Radiology, Nuclear Medicine and Imaging — 34 citations into it
- Artificial Intelligence — 20 citations into it
- Biomedical Engineering — 20 citations into it; #3,576 of 10,734 by trust here, #6,620 by citations
- Aerospace Engineering — 10 citations into it
- Mechanical Engineering — 9 citations into it
- Computational Mechanics — 8 citations into it
- Electrical and Electronic Engineering — 7 citations into it
Whom João Manuel Ribeiro da Silva Tavares trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Josien P. W. Pluim
- J. B. Antoine Maintz
- John Ashburner
- Tom Kamiel Magda Vercauteren
- Philippe Thévenaz
- John F. Canny
- Jan Modersitzki
- Serge Beucher
- Frederik Maes
- Paul A. Viola
Who trusts João Manuel Ribeiro da Silva Tavares overall
Papers from João Manuel Ribeiro da Silva Tavares's perspective
Ordered by how strongly the researchers João Manuel Ribeiro da Silva Tavares trusts endorse each paper. Same corpus, a different order for every researcher.
- Alignment by Maximization of Mutual Information
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- ImageNet classification with deep convolutional neural networks
- ImageNet Large Scale Visual Recognition Challenge
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Fully convolutional networks for semantic segmentation
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Nonrigid registration using free-form deformations: application to breast MR images
- Consistent image registration (IEEE Transactions on Medical Imaging)
Their papers
- Medical image registration: a review (2014) — 796 citations
- Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (2017) — 432 citations
- Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images (2020) — 381 citations
- Drilling tool geometry evaluation for reinforced composite laminates (2010) — 287 citations