Jakob H. Andersen
Odense, Denmark
Last Updated: 09/26/2026
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Found 10 publications
Grading-labour cost analysis of AI-assisted versus human-only diabetic retinopathy screening in two Danish healthcare settings.
Journal: Acta ophthalmologica
Published: April 24, 2026
Evaluation of spatial distribution of initial marking strategy among inexperienced graders in diabetic retinopathy: A retrospective cross-sectional analysis.
Journal: Acta ophthalmologica
Published: January 21, 2026
A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy.
Journal: Ophthalmology and therapy
Published: February 14, 2025
Grading of diabetic retinopathy using a pre-segmenting deep learning classification model: Validation of an automated algorithm.
Journal: Acta ophthalmologica
Published: February 28, 2024
Automatic Detection of Abnormalities and Grading of Diabetic Retinopathy in 6-Field Retinal Images: Integration of Segmentation Into Classification.
Journal: Translational vision science & technology
Published: June 22, 2022
A digital online platform for education and certification of diabetic retinopathy health care professionals in the Region of Southern Denmark.
Journal: Acta ophthalmologica
Published: November 18, 2021
Agreement between experts in the detection of diabetic retinopathy-associated lesions in a virtual ocular learning platform.
Journal: Acta ophthalmologica
Published: May 31, 2021
Applying cascaded convolutional neural network design further enhances automatic scoring of arthritis disease activity on ultrasound images from rheumatoid arthritis patients.
Journal: Annals of the rheumatic diseases
Published: November 12, 2019
Neural networks for automatic scoring of arthritis disease activity on ultrasound images.
Journal: RMD open
Published: December 28, 2018
Showing 1-10 of 10
Last Updated: 09/26/2026