Heinz-Peter Schlemmer
Computer Vision and Pattern Recognition · 2010–2019
A researcher in the Science corpus: 4 papers; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 48 citations into it
- Artificial Intelligence — 21 citations into it
- Neurology — 11 citations into it
- Model Architectures — 9 citations into it
Whom Heinz-Peter Schlemmer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Heinz-Peter Schlemmer's perspective
Ordered by how strongly the researchers Heinz-Peter Schlemmer trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection (2018) — 233 citations
- Automated brain extraction of multisequence MRI using artificial neural networks (2019) — 710 citations
- Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study. (2019) — 375 citations
- PET/MRI: Paving the Way for the Next Generation of Clinical Multimodality Imaging Applications (2010) — 436 citations