Euan A. Ashley
Molecular Biology · 2010–2020
A researcher in the Science corpus: 14 papers; trusts 19 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 116 citations into it
- Genetics — 109 citations into it; #1,798 of 6,854 by trust here, #3,711 by citations
- Artificial Intelligence — 69 citations into it
- Computer Vision and Pattern Recognition — 52 citations into it
- Epidemiology — 22 citations into it
- Computational Biology & Bioinformatics — 18 citations into it
- Oncology — 18 citations into it
- Statistics and Probability — 9 citations into it
Whom Euan A. Ashley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Euan A. Ashley overall
- Tim Hulsen
- Jerzy K. Kulski
- Sofia Charlotta Olhede
- Saumya Shekhar Jamuar
- Konrad J. Karczewski
- Yichi Zhang
- Alan R. Moody
Papers from Euan A. Ashley's perspective
Ordered by how strongly the researchers Euan A. Ashley trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Densely Connected Convolutional Networks
- Rethinking the Inception Architecture for Computer Vision
- Training Products of Experts by Minimizing Contrastive Divergence
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
- Long-term recurrent convolutional networks for visual recognition and description
Their papers
- Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes (2012) — 1,224 citations
- Patient-Specific Induced Pluripotent Stem Cell as a Model for Familial Dilated Cardiomyopathy (2012) — 663 citations
- Video-based AI for beat-to-beat assessment of cardiac function (2020) — 1,040 citations
- Deep learning interpretation of echocardiograms (2019) — 429 citations
- Artificial Intelligence in Cardiology. (2018) — 769 citations
- Cardiovascular disease: The rise of the genetic risk score (2018) — 160 citations
- Weakly supervised classification of rare aortic valve malformations using unlabeled cardiac MRI sequences (2018) — 20 citations
- Medical relevance of protein-truncating variants across 337,205 individuals in the UK Biobank study (2017) — 115 citations
- Towards precision medicine (2016) — 661 citations
- Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments (2016) — 531 citations
- The precision medicine initiative: a new national effort. (2015) — 515 citations
- Sequence to Medical Phenotypes: A Framework for Interpretation of Human Whole Genome DNA Sequence Data (2015) — 23 citations
- Abnormal Calcium Handling Properties Underlie Familial Hypertrophic Cardiomyopathy Pathology in Patient-Specific Induced Pluripotent Stem Cells (2013) — 666 citations
- Clinical assessment incorporating a personal genome (2010)