Tiarnan D. Keenan
Orcid: 0000-0002-2253-1772
According to our database1,
Tiarnan D. Keenan
authored at least 22 papers
between 2018 and 2024.
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Bibliography
2024
Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning.
CoRR, 2024
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology.
CoRR, 2024
2023
CoRR, 2023
Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
Pattern Recognit., 2022
Predicting myocardial infarction through retinal scans and minimal personal information.
Nat. Mach. Intell., 2022
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Semi-supervised learning approach for automatic detection of hyperreflective foci in SD-OCT imaging.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Retinal layer segmentation for age-related macular degeneration patients with 3D-UNet.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Device specific SD-OCT retinal layer segmentation using cycle-generative adversarial networks in patients with AMD.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Deep learning automated diagnosis and quantitative classification of cataract type and severity: quantifying the effectiveness and usability of deep learning-assisted disease diagnosis models with 14 ophthalmologists and multi-center validations.
Proceedings of the AMIA 2022, 2022
Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows.
Proceedings of the AMIA 2022, 2022
2021
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.
J. Am. Medical Informatics Assoc., 2021
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Deep learning detection of reticular pseudodrusen using multi-modal, multi-task, and multi-attention mechanisms: towards automated and accessible classification of age-related macular degeneration.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
npj Digit. Medicine, 2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration.
CoRR, 2020
Proceedings of the AMIA 2020, 2020
2019
A deep learning approach for automated detection of geographic atrophy from color fundus photographs.
CoRR, 2019
A deep learning-based survival model for prediction of progression in late Age-related Macular Degeneration (AMD) from color fundus photographs.
Proceedings of the AMIA 2019, 2019
2018
A multi-task deep learning model for the classification of Age-related Macular Degeneration.
CoRR, 2018
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs.
CoRR, 2018