Ingeborg Stalmans
Orcid: 0000-0001-7507-4512
According to our database1,
Ingeborg Stalmans
authored at least 12 papers
between 2019 and 2023.
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Bibliography
2023
FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading.
Comput. Methods Programs Biomed., September, 2023
Comput. Medical Imaging Graph., September, 2023
A generalizable deep learning regression model for automated glaucoma screening from fundus images.
npj Digit. Medicine, 2023
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images.
CoRR, 2023
2022
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading.
CoRR, 2022
Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review.
Comput. Methods Programs Biomed., 2022
PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computing in Cardiology, 2022
2021
Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning.
CoRR, 2021
Glaucoma detection beyond the optic disc: The importance of the peripapillary region using explainable deep learning.
CoRR, 2021
Pathological myopia classification with simultaneous lesion segmentation using deep learning.
Comput. Methods Programs Biomed., 2021
2019
Comput. Medical Imaging Graph., 2019