Damini Dey
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
Whom Damini Dey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nils J. Nilsson
- Florin C. Ghesu
- Annette M. Molinaro
- Meherwar Fatima
- Alex Krizhevsky
- Bogdan Georgescu
- Li Li
- Yefeng Zheng
- Tuan Anh Ngo
- Riccardo Miotto
Papers from Damini Dey's perspective
Ordered by how strongly the researchers Damini Dey trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Gradient-based learning applied to document recognition
- Deep Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet Large Scale Visual Recognition Challenge
- Fully convolutional networks for semantic segmentation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A Fast Learning Algorithm for Deep Belief Nets
Their papers
- Artificial Intelligence in Cardiovascular Imaging (2019) — 546 citations
- Deep Learning for Prediction of Obstructive Disease from Fast Myocardial Perfusion SPECT: A Multicenter Study (2018) — 303 citations
- Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis (2016) — 663 citations