Andreas K. Maier

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 10 papers; trusts 234 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 148 citations into it
• Artificial Intelligence — 73 citations into it
• Radiology, Nuclear Medicine and Imaging — 49 citations into it
• Model Architectures — 24 citations into it
• Biomedical Engineering — 20 citations into it
• Aerospace Engineering — 13 citations into it
• Computational Mechanics — 11 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Andreas K. Maier trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Richard S. Sutton
4. Alex Krizhevsky
5. Yann LeCun
6. Kaiming He
7. Diederik P. Kingma
8. Karen Simonyan
9. Radford M. Neal
10. Ross B. Girshick

Who trusts Andreas K. Maier overall

1. Grant Haskins
2. Gary F. Marcus
3. Yabo Fu

Papers from Andreas K. Maier's perspective

Ordered by how strongly the researchers Andreas K. Maier trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans (2019) — 299 citations
• Towards intelligent robust detection of anatomical structures in incomplete volumetric data (2018) — 37 citations
• A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging (2020) — 478 citations
• Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images (2018) — 470 citations
• A Gentle Introduction to Deep Learning in Medical Image Processing (2018) — 467 citations
• Precision Learning: Towards Use of Known Operators in Neural Networks (2017) — 35 citations
• UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model (2017) — 37 citations
• Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series (2017) — 97 citations
• Robust Non-rigid Registration Through Agent-Based Action Learning (2017) — 227 citations
• Robust Vessel Segmentation in Fundus Images (2013) — 668 citations