Murat Seçkin Ayhan
@msayhan.bsky.social
Assistant Professor of Computing and Software Systems, UW Bothell
Previously UCL and University of Tübingen
https://msayhan.github.io/
Previously UCL and University of Tübingen
https://msayhan.github.io/
Pinned
Murat Seçkin Ayhan
@msayhan.bsky.social
· Sep 16
I have moved to the breathtaking Pacific Northwest and joined the ranks of the University of Washington in Bothell.
Here’s to new opportunities, growth, and discovery! 🥂🧿🍀
Here’s to new opportunities, growth, and discovery! 🥂🧿🍀
I have moved to the breathtaking Pacific Northwest and joined the ranks of the University of Washington in Bothell.
Here’s to new opportunities, growth, and discovery! 🥂🧿🍀
Here’s to new opportunities, growth, and discovery! 🥂🧿🍀
September 16, 2025 at 11:17 PM
I have moved to the breathtaking Pacific Northwest and joined the ranks of the University of Washington in Bothell.
Here’s to new opportunities, growth, and discovery! 🥂🧿🍀
Here’s to new opportunities, growth, and discovery! 🥂🧿🍀
🚨 New paper alert 🚨
Can we match RETFound’s retinal disease detection performance by just prompting a general-purpose foundation model like Gemini 1.5 Pro to the task? For diabetic retinopathy detection from color fundus photos, YES!
www.sciencedirect.com/science/arti...
Can we match RETFound’s retinal disease detection performance by just prompting a general-purpose foundation model like Gemini 1.5 Pro to the task? For diabetic retinopathy detection from color fundus photos, YES!
www.sciencedirect.com/science/arti...
In-context learning for data-efficient diabetic retinopathy detection via multimodal foundation models
This study aims to evaluate whether in-context learning, a prompt-based learning mechanism enabling multimodal foundation models to rapidly adapt to n…
www.sciencedirect.com
September 8, 2025 at 5:53 PM
🚨 New paper alert 🚨
Can we match RETFound’s retinal disease detection performance by just prompting a general-purpose foundation model like Gemini 1.5 Pro to the task? For diabetic retinopathy detection from color fundus photos, YES!
www.sciencedirect.com/science/arti...
Can we match RETFound’s retinal disease detection performance by just prompting a general-purpose foundation model like Gemini 1.5 Pro to the task? For diabetic retinopathy detection from color fundus photos, YES!
www.sciencedirect.com/science/arti...
I need GPUs, lots of GPUs. 🔥🤓
May 29, 2025 at 3:14 PM
I need GPUs, lots of GPUs. 🔥🤓
Realistic retinal image generation for counterfactual reasoning in ophthalmology. Diffusion models coupled with robust classifiers led to stunning results. It works on both color fundus photographs and OCT.
Finally out in PLOS Digital Health!
Finally out in PLOS Digital Health!
May 22, 2025 at 10:51 AM
Realistic retinal image generation for counterfactual reasoning in ophthalmology. Diffusion models coupled with robust classifiers led to stunning results. It works on both color fundus photographs and OCT.
Finally out in PLOS Digital Health!
Finally out in PLOS Digital Health!
We matched the performance of RETFound for DR detection from CFPs via in-context learning with Gemini 1.5 Pro. We also achieved counterfactual reasoning about diagnostic decisions in natural language space, plus well-calibrated predictive probabilities.
In-context learning for data-efficient classification of diabetic retinopathy with multimodal foundation models
Importance: In-context learning, a prompt-based learning mechanism that enables multimodal foundation models to adapt to new tasks, can eliminate the need for retraining or large annotated datasets. W...
www.medrxiv.org
March 13, 2025 at 5:37 PM
We matched the performance of RETFound for DR detection from CFPs via in-context learning with Gemini 1.5 Pro. We also achieved counterfactual reasoning about diagnostic decisions in natural language space, plus well-calibrated predictive probabilities.