Olaf Ronneberger

E736799

convolutional neural network architecture person scientific paper

Olaf Ronneberger is a computer scientist best known for co-developing the U-Net convolutional neural network architecture widely used in biomedical image segmentation and other image analysis tasks.

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Label	Occurrences
Olaf Ronneberger canonical	1

Statements (30)

Predicate	Object
instanceOf	convolutional neural network architecture ⓘ person ⓘ scientific paper ⓘ
author	Olaf Ronneberger NERFINISHED ⓘ Philipp Fischer NERFINISHED ⓘ Thomas Brox NERFINISHED ⓘ
coAuthorWith	Philipp Fischer NERFINISHED ⓘ Thomas Brox NERFINISHED ⓘ
coDeveloperOf	U-Net NERFINISHED ⓘ
fieldOfWork	biomedical image segmentation ⓘ biomedical image segmentation ⓘ computer vision ⓘ deep learning ⓘ deep learning ⓘ image segmentation ⓘ machine learning ⓘ medical image analysis ⓘ
hasAuthor	Olaf Ronneberger NERFINISHED ⓘ
hasCitationalImpact	U-Net paper widely cited in deep learning and medical imaging literature ⓘ
knownFor	U-Net NERFINISHED ⓘ biomedical image segmentation ⓘ convolutional neural networks ⓘ
notableContribution	design of encoder–decoder CNN architecture for segmentation ⓘ popularization of U-shaped CNN architectures in medical imaging ⓘ
notableWork	U-Net: Convolutional Networks for Biomedical Image Segmentation NERFINISHED ⓘ
occupation	computer scientist ⓘ
usedFor	biomedical image segmentation ⓘ image-to-image prediction tasks ⓘ medical image analysis ⓘ
usesMethod	convolutional neural networks ⓘ

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Jumper et al., Nature 2021 → hasAuthor → Olaf Ronneberger ⓘ