Linda M. Zangwill

Orcid: 0000-0002-1143-5224

According to our database1, Linda M. Zangwill authored at least 17 papers between 2009 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis.
IEEE Trans. Medical Imaging, December, 2023

2022
Assessing Usability of Smartwatch Digital Health Devices for Home Blood Pressure Monitoring among Glaucoma Patients.
Informatics, December, 2022

Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
npj Digit. Medicine, 2022

2020
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
npj Digit. Medicine, 2020

One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma.
CoRR, 2020

GLANCE: Visual Analytics for Monitoring Glaucoma Progression.
Proceedings of the 10th Eurographics Workshop on Visual Computing for Biology and Medicine, 2020

2015
Detecting glaucomatous change in visual fields: Analysis with an optimization framework.
J. Biomed. Informatics, 2015

Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression.
Artif. Intell. Medicine, 2015

Automated segmentation of anterior lamina cribrosa surface: How the lamina cribrosa responds to intraocular pressure change in glaucoma eyes?
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements.
IEEE Trans. Biomed. Eng., 2014

Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points.
IEEE Trans. Biomed. Eng., 2014

A unified framework for glaucoma progression detection using Heidelberg Retina Tomograph images.
Comput. Medical Imaging Graph., 2014

Recognizing patterns of visual field loss using unsupervised machine learning.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

A joint estimation detection of Glaucoma progression in 3D spectral domain optical coherence tomography optic nerve head images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

A hierarchical framework for estimating neuroretinal rim area using 3D spectral domain optical coherence tomography (SD-OCT) optic nerve head (ONH) images of healthy and glaucoma eyes.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Glaucoma progression detection using variational expectation maximization algorithm.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2009
A Framework for Detecting Glaucomatous Progression in the Optic Nerve Head of an Eye Using Proper Orthogonal Decomposition.
IEEE Trans. Inf. Technol. Biomed., 2009


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