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Predicting necessary treatment plans for patients with Age-Related Macular Degeneration using characteristics derived from optical coherence tomography B-scans.

, , , and . ICCP, page 301-306. IEEE, (2023)

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Low-dimensional Representation of OCT Volumes with Supervised Contrastive Learning., , , and . ICCP, page 47-54. IEEE, (2022)An ontology for Age-Related Macular Degeneration using ophthalmologists and language models., , and . SWAT4HCLS, volume 3415 of CEUR Workshop Proceedings, page 141-142. CEUR-WS.org, (2023)Blending rules and ontology in argumentation.. ITI, page 493-498. IEEE, (2009)EmotionSense: Real-time Emotional Feedback from the Audience., and . ICCP, page 387-393. IEEE, (2019)Towards Balancing the Complexity of Convolutional Neural Network with the Role of Optical Coherence Tomography in Retinal Conditions., , , , , and . ICCP, page 475-482. IEEE, (2019)Predicting Structure & Clarity of software projects with Machine Learning., and . ICCP, page 59-66. IEEE, (2020)A Multi-threaded Particle-in-cell Approach for Kinetic Plasma Simulations., , , , , and . ICCP, page 597-601. IEEE, (2020)Analysing Climate Change Arguments Using Subjective Logic., , , , and . ICCP, page 37-44. IEEE, (2018)Exploring Early Estimation of Treatment Needs for Age-Related Macular Degeneration Patients Using Easily Generated Features., , , and . SYNASC, page 220-225. IEEE, (2023)Natural Language for Querying Linked Data., and . RoCHI, Matrix Rom, (2013)