Building deep learning methods to interpret medical images
https://www.gholste.me/
✅ open weights
✅ multiview multitask reporting
✅ international validation
✅ works with POCUS
Amazing effort @cardslab.bsky.social
@giholste.bsky.social @rohankhera.bsky.social
+ @atlaswang.bsky.social, Márton Tokodi & Attila Kovács
#CardioSky #EchoSky
https://ja.ma/4jYWBgI
✅ open weights
✅ multiview multitask reporting
✅ international validation
✅ works with POCUS
Amazing effort @cardslab.bsky.social
@giholste.bsky.social @rohankhera.bsky.social
+ @atlaswang.bsky.social, Márton Tokodi & Attila Kovács
#CardioSky #EchoSky
https://ja.ma/4jYWBgI
https://ja.ma/4jYWBgI
This is the product of deep interdisciplinary collaboration btw engineers & clinicians. Grateful to teammates & mentors @ekoikonomou.bsky.social @rohankhera.bsky.social
+ Model is publicly available! github.com/CarDS-Yale/P...
This is the product of deep interdisciplinary collaboration btw engineers & clinicians. Grateful to teammates & mentors @ekoikonomou.bsky.social @rohankhera.bsky.social
+ Model is publicly available! github.com/CarDS-Yale/P...
Do I know how Next.js works? Not in the slightest. Am I using it in my website? Apparently!
Have to say I'm very impressed with @v0.dev, saved me hours and hours
Do I know how Next.js works? Not in the slightest. Am I using it in my website? Apparently!
Have to say I'm very impressed with @v0.dev, saved me hours and hours
Why PanEcho? The model is trained on >1M echos from all views on 39 diverse tasks, meaning...
- PanEcho is a powerful transfer learner
- It takes *one line* of Python code
See github.com/CarDS-Yale/P... for details + reach out with Qs
Why PanEcho? The model is trained on >1M echos from all views on 39 diverse tasks, meaning...
- PanEcho is a powerful transfer learner
- It takes *one line* of Python code
See github.com/CarDS-Yale/P... for details + reach out with Qs
Led by @giholste.bsky.social & @ekoikonomou.bsky.social
@cardslab.bsky.social
Preprint, code, and model: cards-lab.org/panecho
Led by @giholste.bsky.social & @ekoikonomou.bsky.social
@cardslab.bsky.social
Preprint, code, and model: cards-lab.org/panecho