Louis R. Pasquale
Orcid: 0000-0002-5835-3496
According to our database1,
Louis R. Pasquale
authored at least 7 papers
between 2016 and 2024.
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Bibliography
2024
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.
IEEE Trans. Medical Imaging, July, 2024
2023
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma.
IEEE J. Biomed. Health Informatics, September, 2023
2022
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.
CoRR, 2022
2020
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2018
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis.
J. Medical Syst., 2018
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018
2016
Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images.
J. Medical Syst., 2016