Un honor haber recibido el premio estímulo de la Academia Nacional de Ciencias Exactas, Físicas y Naturales @AncefnA por el área de Ciencias de la Ingeniería. Es un reconocimiento a todo el trabajo que hacemos en el @sinc_i , en particular en el cruce de IA y bioinformática.
⏰ New paper alert!
Our work on reliable WMH segmentation in brain MR is now published! We explore how maximum entropy regularizers can help to improve uncertainty estimates in WMH segmentation, specially under domain shift.
🔗 Link to the paper: https://t.co/78THSUwI7J
🧬 New Paper Alert! Can RNA structure prediction benefit from large language models? Our study benchmarks 6 state-of-the-art RNA-LLMs across diverse datasets to find out 👉 Our preprint: https://t.co/yxzp4VAf8e
👉 Paper & code: https://t.co/ZEcz4dLQ6H
Super excited to present a poster today at the #BCIMeeting2025, a work in which we use backward optimal transport for cross-subject domain adaptation in MI-BCIs to reduce calibration time with @vpeterson09, @d1001 and R. Spies. Great discussions and really insightful exchanges!
🚨New paper alert!
"Multi-view Hybrid Graph Convolutional Network for Volume-to-Mesh Reconstruction in Cardiovascular MRI" has been published in Medical Image Analysis!
This is the last paper coming from @ngaggion PhD thesis, congrats Nico!
📖 https://t.co/uTik91NB5v
I am so thrilled to announce that our latest publication is out! 🥳🥳
If you're interested in building coadaptive MI #BCI, check this out 👇
Towards subject-centered co-adaptive brain-computer interfaces based on backward optimal transport https://t.co/NgakzoX3eN
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New preprint out!
We study how differences in task difficulty for various demographic groups interacts with under-representation when mitigating biases via deep ensembles.
Collaboration between @sinc_i@liaa_icc and
@CohereForAI
Link: https://t.co/UUmsrVvLDC
+info👇
With @enzoferrante we have contributed a chapter on "Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications"
If you can't wait until Dec 1st 😉, you can have a first look at the prelim arXiv version of the chapter here 👇
https://t.co/DoRsbIjmvG
New Paper Alert 🚨
“gGN: Representing the Gene Ontology as Low-Rank Gaussian Distributions” an innovative approach to modeling knowledge graphs. Read here: https://t.co/VoyfdZKEt7
Nuestros becarios del @sinc_i presentaron sus trabajos de deep learning para secuencias biológicas, pósters muy concurridos y además Sofia se llevó el premio a la mejor presentación oral! Felices 😁
🤖 Encendiendo chispitas 💥
Hoy desde el @sinc_i llevamos la actividad "La Inteligencia Artificial y VOS tienen futuro" a la Escuela Primaria de la @UNLitoral .
Todo un éxito! Muchísima curiosidad y entusiasmo! (Volvimos con pilas recargadas para seguir 🤩)
🧬 El Nobel en fisiología y medicina fue por el descubrimiento de los microARNs, pequeñas moléculas que revolucionaron el entendimiento de la regulación génica. En el sinc(i) desde 2015 trabajamos en herramientas computacionales para poder identificarlas
https://t.co/Wg6Mc9Ie5k