2015 · Lecture notes in computer science
U-Net: Convolutional Networks for Biomedical Image Segmentation
93,023 citationsRead
About
Olaf Ronneberger focuses on developing image processing and segmentation methods for biomedical applications. His current work includes advanced neural network architectures such as U‑Net for medical image analysis and cancer detection. He collaborates with the BIOSS Centre for Biological Signalling Studies on cell image analysis techniques.
Most cited
156 papers in total2021 · Nature
Highly accurate protein structure prediction with AlphaFold
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2024 · Nature
Accurate structure prediction of biomolecular interactions with AlphaFold 3
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2016 · Lecture notes in computer science
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
8,036 citationsRead
2021 · bioRxiv (Cold Spring Harbor Laboratory)
Protein complex prediction with AlphaFold-Multimer
4,199 citationsRead
2021 · Nature
Highly accurate protein structure prediction for the human proteome
3,327 citationsRead