Ninon Burgos nous parle maintenant du difficile passage des données de recherche à la routine clinique ! #IABM2023 ARAMISLAB CNRS 🌍 Centre Inria de Paris Institut du Cerveau - Paris Brain Institute PRAIRIE Institute

Avec Cédric Villani pour discuter des forces, faiblesses, opportunités et faiblesses de l'IA en imagerie biomédicale #IABM2023

Une présentation magnifiquement pédagogique par Jean Feydy HeKA research team Centre Inria de Paris

Round table with various actors of AI for medical imaging resulted in a SWOT ! Could listen to them during hours… W/ Cédric Villani Dojat Michel Anne Vincent-Salomon Cedric DENIS-REMIS @FrancisMegerlin #IABM2023

Super cool to present my work on validation of unsupervised anomaly detection on brain PET images at #IABM2023 ! It was a pleasure to talk with all the researchers and I got plenty of nice feedbacks ! Institut du Cerveau - Paris Brain Institute ARAMISLAB

Check out the latest version of ClinicaDL 🐙. Many new features have been added: 🧠 New modality supported, 🚀 New data augmentation tools, 🔝 Better support of VAE, 🔧 Full refactoring of tsvtools, And more ...👇 clinicadl.readthedocs.io/en/latest/ ARAMISLAB Paris Brain Institute

🎉Our experiment configurator beta is online : clinicadl-toml-generator.streamlit.app Try it to configure your training for #ClinicaDL with an intuitive UI and download the configuration file. Give us your feed back ✍️ Inria Institut du Cerveau - Paris Brain Institute ARAMISLAB #DeepLearning #AI #neuroscience

"Machine Learning for Brain Disorders" is now published! 1058 pages fully open access link.springer.com/book/10.1007/9…

Don't know how to get started with ClinicaDL? Check out our new tutorial: "Deep learning classification from brain MRI: Application to Alzheimer’s disease"🧑‍🎓 aramislab.paris.inria.fr/clinicadl/tuto… Centre Inria de Paris ARAMISLAB Institut du Cerveau - Paris Brain Institute #DeepLearning #AI #neuroscience

We are working on the implementation of MLOps tools on ClinicaDL! And you what is your favorite platform? 😈 Team MLflow or team Social Team at W&B ? If you use another one, do not hesitate to comment ✍️ #MLOps #DeepLearning #opensource

🧠 Comment l'intelligence artificielle pourrait-elle permettre la détection précoce de la maladie d'#Alzheimer ? 👉 Pour soutenir la recherche : …realzheimer.institutducerveau-icm.org Le Figaro lefigaro.fr/actualite-fran…

This looks like a robot dog dancing to disco lights, but it's actually a very cool visualization of the neural network that controls the bot! Blue -> green -> red corresponds to stronger neural activation. The NN is a multilayer perceptron that maps proprioception (e.g.

1st day at #MICCAI2023 in Vancouver 🇨🇦 ! Can’t wait in participation to the DGM4MICCAI workshop @MICCAI 2025 workshop today.

Hello from DGM4MICCAI workshop @MICCAI 2025. 3rd edition almost finished... Thanks to the entire organing team!

ML for brain disorders: one chapter / day Main existing datasets by Baptiste Couvy-Duchesne Simona Bottani Juliana Gonzalez Astudillo rhassana Mulusew Fikere Josh Harvey @PenelopeALind Marta Nabais 🇵🇹 🇬🇧🇪🇺 and others link.springer.com/protocol/10.10…

New preprint - Reproducibility in medical image computing openreview.net/forum?id=3fIXW… ➡️ What is it? ➡️How is it assessed? In particular, we analyzed reproducibility reviews from MICCAI 2023 MICCAI Society with Ninon Burgos E. Thibeau-Sutre and C. Brianceau A thread 🧵 (1/n)

30% of code links provided in MICCAI 2023 papers lead to a broken link or an empty repository 😱 I don't have data from other conferences but I am afraid it would not be much better

For those interested in reproducible deep learning and recent advances in ClinicaDL, come meet us during the poster session at 5:30. Poster stand 12926-69. Preprint is available hal.science/hal-04419141 #SPIEMedicalImaging SPIE Institut du Cerveau - Paris Brain Institute ARAMISLAB

Our new preprint on "Dice-Enhanced Random Number Generator" (DERaNGe) in available. Take a look if you are interested in improving your machine learning algorithms !! github.com/ravih18/DERaNG…

🚨 New publication alert: 📢 “Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET.” 🖊️ rhassana, C. Brianceau, @maelysolal, Olivier Colliot, Ninon Burgos. 🎯 Authors propose an evaluation