Ingeborg Stalmans

Orcid: 0000-0001-7507-4512

According to our database1, Ingeborg Stalmans authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading.
Comput. Methods Programs Biomed., September, 2023

Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging.
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

Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations.
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
Artery-vein segmentation in fundus images using a fully convolutional network.
Comput. Medical Imaging Graph., 2019


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