Olivier Elemento
Molecular Biology · 2007–2021
A researcher in the Science corpus: 22 papers; trusts 50 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 292 citations into it; #7,617 of 17,773 by trust here, #2,189 by citations
- Cancer Research — 118 citations into it; #846 of 1,780 by trust here, #237 by citations
- Artificial Intelligence — 97 citations into it
- Computational Theory and Mathematics — 88 citations into it
- Oncology — 73 citations into it
- Computer Vision and Pattern Recognition — 56 citations into it
- Genetics — 53 citations into it
- Radiology, Nuclear Medicine and Imaging — 46 citations into it
Whom Olivier Elemento trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sam Griffiths-Jones
- Yann LeCun
- Harmen J. Bussemaker
- Ewan Birney
- Geoffrey E. Hinton
- Noam Slonim
- Manolis Kellis
- J. Hughes
- Alex Krizhevsky
- Christian Szegedy
Who trusts Olivier Elemento overall
Papers from Olivier Elemento's perspective
Ordered by how strongly the researchers Olivier Elemento trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- A data-driven approach to predicting successes and failures of clinical trials (2016) — 300 citations
- Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3' UTRs and Near Stop Codons (2012) — 3,764 citations
- Punctuated Evolution of Prostate Cancer Genomes (2013) — 1,269 citations
- A universal framework for regulatory element discovery across all genomes and data types. (2007) — 342 citations
- Reversible methylation of m6Am in the 5′ cap controls mRNA stability (2016) — 964 citations
- Double-stranded DNA in exosomes: a novel biomarker in cancer detection (2014) — 1,384 citations
- Chromosomal instability drives metastasis through a cytosolic DNA response (2018) — 1,367 citations
- Graph convolutional networks for computational drug development and discovery (2019) — 382 citations
- EZH2 is required for germinal center formation and somatic EZH2 mutations promote lymphoid transformation (2013) — 801 citations
- A molecular single-cell lung atlas of lethal COVID-19 (2021) — 608 citations
- Artificial Intelligence in Cancer Research and Precision Medicine (2021) — 516 citations
- A Bayesian machine learning approach for drug target identification using diverse data types (2019) — 197 citations
- Deep learning-based classification of mesothelioma improves prediction of patient outcome (2019) — 488 citations
- Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization (2019) — 370 citations
- Phosphatidylinositol-5-phosphate 4-kinases regulate cellular lipid metabolism by facilitating autophagy (2018) — 95 citations
- Personalized In Vitro and In Vivo Cancer Models to Guide Precision Medicine (2017) — 823 citations
- Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images (2017) — 314 citations
- Divergent clonal evolution of castration resistant neuroendocrine prostate cancer (2016) — 1,503 citations
- Inherited DNA-Repair Gene Mutations in Men with Metastatic Prostate Cancer (2016) — 1,457 citations
- Vitamin C selectively kills KRAS and BRAF mutant colorectal cancer cells by targeting GAPDH (2015) — 849 citations