Andriy Myronenko
Computer Vision and Pattern Recognition · BrainLes@MICCAI · 2018–2022
A researcher in the Science corpus: 4 papers; trusts 263 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 44 citations into it; #4,605 of 21,575 by trust here, #12,689 by citations
- Artificial Intelligence — 29 citations into it
- Radiology, Nuclear Medicine and Imaging — 28 citations into it
- Model Architectures — 10 citations into it
- Biomedical Engineering — 8 citations into it
- Biophysics — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Andriy Myronenko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- François Chollet
- Evan Shelhamer
- Yuxin Wu
- Konstantinos Kamnitsas
- Ross B. Girshick
- Diederik P. Kingma
- Olaf Ronneberger
- Geoffrey E. Hinton
- X. Zhang
Who trusts Andriy Myronenko overall
- Yin Dai
- Ali Hatamizadeh
- Jun Ma
- Tongxue Zhou
- Fabian Isensee
- Zhaohu Xing
- Yifan Gao
- Ling Zhang
- Wenqi Li
- Dong Yang
Papers from Andriy Myronenko's perspective
Ordered by how strongly the researchers Andriy Myronenko 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- MONAI: An open-source framework for deep learning in healthcare (2022) — 996 citations
- Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation (2020) — 514 citations
- Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets (2020) — 535 citations
- 3D MRI brain tumor segmentation using autoencoder regularization (2018) — 1,428 citations