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Catch Steve McNamara’s awesome work introducing the Optimeyes tool for multimodal ophthalmic image annotation 🔥🔥🔥 CU Ophthalmology QTIM Lab

Captain Praveer Singh presenting his work on automatic drusen segmentation for AMD with UWF imaging CU Ophthalmology QTIM Lab

And myself presenting EyeLiner: a pipeline for longitudinal fundus image registration using key point detection CU Ophthalmology QTIM Lab

Catch Sourav Kumar’s work on ROP disease progression monitoring using Stable Diffusion!!! CU Ophthalmology QTIM Lab gamblerextraordinaire Praveer Singh Jayashree Kalpathy #ARVO2024

Stop by Randy Lu’s poster at B0524 investigating multimodal DL for Fundus image analysis CU Ophthalmology QTIM Lab Jayashree Kalpathy #ARVO2024

Scott Kinder’s talk “AI-based optic disk and cup segmentation can provide consistent CDR measurements and precise progression tracking” for the Machine Learning for image segmentation session at #ARVO2024 CU Ophthalmology Jayashree Kalpathy Praveer Singh QTIM Lab

We're excited to announce the panelists for our #MICCAI2024 Academia & Industry Networking Event! Gain professional development insights from our expert panel for both academia and industry! 🗓️ Monday Oct 7 ⏰ 6-8 PM No registration required! 🧵Learn more about our panelists!

Validation of “EyeLiner” a deep learning pipeline to longitudinally evaluate and align color fundus photos, on 3 existing datasets. Advaith Veturi Jayashree Kalpathy Praveer Singh ow.ly/HIvJ50UnExG #ophthalmology