1/ Just wrapped up the 4th Bio-inspired Deep Learning Workshop (4 years already!?). 🎉
Together with co-organizer Pietro Verzelli (and with a little help from Janko Petkovic) we brought together an amazing group for this year’s edition.
🧵👇
5/ Beyond the science, we had fascinating discussions, excellent presentations, and a wine tasting that may have involved just a little too much wine. 🍷😄
The perfect combination of learning, networking, and community.
6/ I’m already excited for next year’s edition!
Interested in joining, or learning more about the Bio-inspired Deep Learning Workshop?
Feel free to reach out, follow along for future updates, and stay tuned for what’s next! 🚀
#DeepLearning#AI#Neuroscience#Neuromorphic#ML
🔊 PhD position available!
Join @si_de_santis and me at @NeuroAlc working on AI, neuroimaging, and computational neuroscience.
Interested in modelling, ML, or scientific computing? Get in touch.
Bonus points if you’ve argued about identifiability.
📢 Fully funded PhD position available!
Join @maxeggl team at @LabMri@NeuroAlc to develop mathematical and computational approaches for understanding brain health and disease through AI-inspired biomarkers of brain structure and function
More info ⬇️
in.umh-csic.es/es/ofertas/ma…
Ya disponible el último programa de 'A hombros de gigantes' en el que los investigadores @si_de_santis y @maxeggl hablan sobre un enfoque basado en simulaciones e IA para reducir el tiempo y los datos necesarios en resonancias cerebrales 👇
rtve.es/play/audios/a-hombro…@CSIC@LabMri
Elena Garrido @CSIC nos ha informado de un método desarrollado por el @NeuroAlc que combina simulaciones computacionales e IA y reducede 40 minutos a 8 el tiempo necesario para una resonancia magnética. Con testimonios de Silvia De Santis y Maximilian Eggl, autores del estudio.
Faster brain MRI scans with high accuracy? Yes!🚀So proud of @maxeggl & @si_de_santis who have developed a new AI-based approach to speed up scans while maintaining high accuracy🧠🔬
Great to see this work published! Check out the full study published in @CommsMedicine👇#SBI#MRI
🏥Un método de @NeuroAlc basado en #IA permitiría reducir un 90% el tiempo de las #ResonanciasMagnéticas
👩🔬La prueba podría pasar de 40 minutos a menos de 10
El sistema:
◾No usa datos de pacientes reales
◾Reduce sesgos
◾Agilizaría listas de espera
👉 tiny.cc/op44101
Incredible proud of this one! It has been in the works for more than a year - after a lucky encounter at a workshop where I was introduced to #SBI. Obviously couldn't have done it without the wonderful mentorship of @si_de_santis. So yeah - read the paper, it's not too bad ;)!
Grateful to have been invited to present my recent work with @si_de_santis@LabMri at the institute of bioengineering @UniversidadMH: speeding up diffusion MRI with AI! Great questions and discussions! Paper is also out: more on that soon ;) shorturl.at/OG5lj@BecariosFLC
Everything is ready in Ljubljana! Today @maxeggl is part of the #EMIM2026 session on Artificial Intelligence🤖 It is the perfect place to talk about how we use AI and advanced dw-MRI models to detect neuroinflammation in-vivo🧠
See you at 17:35 in Kosovel hall🕒
Good luck Max!✨
📢 Workshop Announcement
Join our upcoming workshop on Bio-Inspired Deep Learning, led by Prof. Elisa Donati (Uni. Zürich - ETH Zurich).
🗓 Dates: June 9–12, 2026
📍 Location: Near Mainz, Germany
Generously supported by the Joachim Herz Stiftung.
#NeuroAI#Workshop#BioInspiredAI