Ramy Arnaout

Computer Vision and Pattern Recognition · 2006–2018

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Ramy Arnaout trusts overall

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

1. L. V. D. van der Maaten
2. Geoffrey E. Hinton

Papers from Ramy Arnaout's perspective

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

1. Visualizing Data using t-SNE
2. Capturing Chromosome Conformation (Science)
3. Comparative structural and functional analysis of the olfactory receptor genes flanking the human and mouse β-globin gene clusters
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Looping and interaction between hypersensitive sites in the active beta-globin locus. (Molecules and Cells)
7. Conserved CTCF Insulator Elements Flank the Mouse and Human β-Globin Loci (Molecular and Cellular Biology)
8. Interchromosomal associations between alternatively expressed loci (Nature)
9. Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography.
10. Genome sequencing in microfabricated high-density picolitre reactors (Nature)

Their papers

• Chromosome Conformation Capture Carbon Copy (5C): a massively parallel solution for mapping interactions between genomic elements. (2006) — 1,224 citations
• Fast and accurate view classification of echocardiograms using deep learning (2018) — 503 citations
• Fast and accurate classification of echocardiograms using deep learning (2017) — 24 citations