There are exciting opportunities and foreseeable clinical applications of vision foundation models for biomedical image analysis! The MIDL Community did seem excited, and so are we! (some amazing follow-up applications coming soon, keep an eye open 😉)

And both of our efforts and these beautiful presentations at #MIDL2025 have been successful due to immense efforts from our amazing lab members @caroteu.bsky.social and Titus Griebel. And of-course @cppape.bsky.social being the absolute best PI, as always (I can't say this enough tbh)!

And sticking to our @cppape.bsky.social lab's theme of rocking in the open-source world, all the models and code are completely open to use and easy to access. You can take @midl-conference.bsky.social's word on this! 😉

PathoSAM: github.com/computationa...

Late PEFT: github.com/computationa...

Next, we introduce a novel finetuning paradigm for foundation models "Late PEFT", inspired by our striking observations of PEFT's memory requirements, questioning: "Are PEFT methods Resource Efficient?"

We have an answer: PEFT "can be resource efficient"! Check out more at: doi.org/10.48550/arX...

To begin with, here's "PathoSAM", our foundation model for nucleus segmentation in histopathology, presented as an Oral! (and my very first one).

If you want a SOTA model for interactive and automatic segmentation for your histopathology images, go check out the paper now doi.org/10.48550/arX...

Congratulations @maweigert.bsky.social and @albertdm.bsky.social 🥳

Hi @psobolewskiphd.bsky.social,
It's under the same name in our GUI model list. With the latest version installed, this will be stored in cache automatically!