Mark A. Helvie
Artificial Intelligence · 2009–2020
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #33,029 of 35,345 by trust here, #14,718 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Optimization & Training — 6 citations into it
Whom Mark A. Helvie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mark A. Helvie overall
Papers from Mark A. Helvie's perspective
Ordered by how strongly the researchers Mark A. Helvie 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
- Improving neural networks by preventing co-adaptation of feature detectors
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI (2020) — 69 citations
- Multi-task transfer learning deep convolutional neural network: Application to computer-aided diagnosis of breast cancer on mammograms (2017) — 203 citations
- Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography. (2016) — 270 citations
- NCCN clinical practice guidelines in oncology: breast cancer screening and diagnosis. (2009) — 672 citations