🚨 We Are Hiring! 🚨
Open position (1 year) in #ComputationalSciences or #ScientificML. Experience in #CardiacModeling is a plus.
📅 Apply by: Aug 26, 2024
🎓 Collaboration between @UniTrento & @mox_lab
https://t.co/vNSyB8zTLK
🔄 Reposts appreciated!
New #preprint:
Probabilistic learning of the Purkinje network from the electrocardiogram
We identify potential representations of ❤️the cardiac conduction system❤️that explain patient's electrocardiogram with and without pathologies.
https://t.co/Jk2MqdsCqL
@SimPezzu
new #preprint:
Δ-PINNs: physics-informed neural networks on complex geometries
We encode the domain using the Laplacian eigenfuctions, then we solve forward and inverse problems on any geometry, like geodesics on a bunny!👇
https://t.co/GQAcX2i7si
@ParisPerdikaris@SimPezzu
The ❤️ is made out of fibers that we can’t see in vivo with current imaging methods.
We developed a method to discover the orientation of the fibers from electrical measurements using physics-informed neural networks.
Website: https://t.co/lJYsGUBPvM
#EPeeps#DeepLearning
How effective are ablation treatments for atrial fibrillation?
We developed a multi-fidelity classifier that works on the atrial surface to quickly identify inducible regions of ablation patterns.
Great collaboration with @SimPezzu@ParisPerdikaris
https://t.co/NltNd2RPyp