Olaf Ronneberger

Research interests

Publications

• Accurate structure prediction of biomolecular interactions with AlphaFold 3

  Nature · 2024 · https://doi.org/10.1038/s41586-024-07487-w

• The Medical Segmentation Decathlon

  Nature Communications · 2022 · https://doi.org/10.1038/s41467-022-30695-9

• Applying and improving AlphaFold at CASP14

  Proteins Structure Function and Bioinformatics · 2021 · https://doi.org/10.1002/prot.26257

• Highly accurate protein structure prediction for the human proteome

  Nature · 2021 · https://doi.org/10.1038/s41586-021-03828-1

• Protein complex prediction with AlphaFold-Multimer

  bioRxiv (Cold Spring Harbor Laboratory) · 2021 · https://doi.org/10.1101/2021.10.04.463034

• Highly accurate protein structure prediction with AlphaFold

  Nature · 2021 · https://doi.org/10.1038/s41586-021-03819-2

• Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

  Journal of Medical Internet Research · 2021 · https://doi.org/10.2196/26151

• Clinically applicable deep learning for diagnosis and referral in retinal disease

  Nature Medicine · 2018 · 10.1038/s41591-018-0107-6

• U-Net: deep learning for cell counting, detection, and morphometry

  Nature Methods · 2018 · 10.1038/s41592-018-0261-2

• Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy

  arXiv (Cornell University) · 2018 · https://doi.org/10.48550/arxiv.1809.04430

• A new fate mapping system reveals context-dependent random or clonal expansion of microglia

  Nature Neuroscience · 2017 · https://doi.org/10.1038/nn.4547

• 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

  Lecture notes in computer science · 2016 · https://doi.org/10.1007/978-3-319-46723-8_49

• U-Net: Convolutional Networks for Biomedical Image Segmentation

  Lecture notes in computer science · 2015 · https://doi.org/10.1007/978-3-319-24574-4_28

Current projects

No projects listed.