Alistair E. W. Johnson
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 9 papers; trusts 6 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #34,212 of 35,345 by trust here, #8,893 by citations
- Evaluation & Benchmarks — 21 citations into it; #1,751 of 3,147 by trust here, #514 by citations
- Surgery — 21 citations into it; #192 of 1,106 by trust here, #61 by citations
- Epidemiology — 15 citations into it; #447 of 2,148 by trust here, #172 by citations
- Medical & Health AI — 9 citations into it
- Statistics and Probability — 8 citations into it
Whom Alistair E. W. Johnson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ishna Neamatullah
- Tom J. Pollard
- Jack E. Zimmerman
- Mohammed Saeed
- Niko Speybroeck
- T. Warren Liao
- Marzyeh Ghassemi
- Mohammed Saeed
- Vikas Chandrakant Raykar
- Fernando Pérez
Who trusts Alistair E. W. Johnson overall
- Chao Yu
- Dianbo Liu
- Ioana Bica
- Edward Choi
- Fei Wang
- Jiming Liu
- Yasuhide Miura
- Wei Zhang
- Mihaela van der Schaar
- Liyue Shen
Papers from Alistair E. W. Johnson's perspective
Ordered by how strongly the researchers Alistair E. W. Johnson 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
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- MIMIC-III, a freely accessible critical care database (2016) — 8,772 citations
- MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports (2019) — 2,082 citations
- The eICU Collaborative Research Database, a freely available multi-center database for critical care research (2018) — 1,838 citations
- Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review (2017) — 338 citations
- MIMIC-IV, a freely accessible electronic health record dataset (2023) — 3,152 citations
- MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs (2019) — 1,117 citations
- AF Classification from a Short Single Lead ECG Recording: the PhysioNet/Computing in Cardiology Challenge 2017 (2017) — 847 citations
- Machine Learning and Decision Support in Critical Care (2016) — 408 citations
- An Open Access Database for the Evaluation of Heart Sound Algorithms (2016) — 768 citations