Azra Bihorac
Artificial Intelligence · 2009–2020
A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 53 citations into it
- Computer Vision and Pattern Recognition — 53 citations into it
- Biomedical Engineering — 20 citations into it
- Molecular Biology — 18 citations into it
- Health Information Management — 16 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Azra Bihorac trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Geoffrey E. Hinton
- Pedro M. Domingos
- Edward Choi
- Yoshua Bengio
- Ye Liu
- Tomas Mikolov
- L. V. D. van der Maaten
- Yann LeCun
- Kevin P. Murphy
Papers from Azra Bihorac's perspective
Ordered by how strongly the researchers Azra Bihorac 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis (2017) — 1,486 citations
- Human Activity Recognition using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey (2020) — 309 citations
- Artificial Intelligence and Surgical Decision-Making (2019) — 465 citations
- Artificial intelligence to predict AKI: is it a breakthrough? (2019) — 34 citations
- Acute kidney disease and renal recovery: consensus report of the Acute Disease Quality Initiative (ADQI) 16 Workgroup (2017) — 1,254 citations
- Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury (2013) — 1,231 citations
- Acute Kidney Injury Is Associated With Increased Long-Term Mortality After Cardiothoracic Surgery (2009) — 930 citations