🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

So very lucky to be working with this team!

Exciting News! 🎉 We are thrilled to welcome Ipek Oguz as a new Executive Editor of MELBA’s Editorial Board. With a wealth of experience in #MachineLearning & #BiomedicalImaging, Dr. Oguz will help guide us to the next frontier of cutting-edge research. Stay tuned! 🚀

Are you passionate about revolutionizing healthcare through AI? I am recruiting PhD students for Fall 2025. Join Probabilistic Vision Group Mila - Institut québécois d'IA - the world’s largest community of academic researchers in deep learning. Please apply through the Mila supervision matching process!

🦾 How can #AI help #MS clinicians? Professor Tal Arbel of McGill University says: “AI tools can offer clinicians much more personalised information about the individuals with MS." Learn how the #technology can be used, read our latest MS Research Spotlight ➡️ bit.ly/3A16VUF

We had an amazing time in Marrakesh, Morocco for #MICCAI2024 last week! Tal Arbel Brennan Nichyporuk Berardino Barile Joshua Durso-finley Amar Kumar Huge thanks to the organizers for an incredible event.

New #postdoctoral award opportunity ($100,000/year): Apply to work in our Probabilistic Vision Group in #AI for #medicalimaging McGill University Mila - Institut québécois d'IA in Montreal, Quebec, Canada. Application deadline: December 1, 2024

Come meet our esteemed Mila representatives at the WiML next week! Professors Tal Arbel and Golnoosh Farnadi, along with PhD student Emily Kaczmarek, will host Mila’s Mentorship Roundtable from 11 AM to 12:30 PM.

Thank you so much CIFAR and Mila - Institut québécois d'IA for renewing my Canada AI Chair (2025-2029)! I am truly honoured, and look forward to contributing to the success of the program. Congratulations to my fellow CIFAR Chair recipients and thank you to my fantastic team Probabilistic Vision Group!

The Faculty of Engineering is proud to announce it will be offering fully funded Ph.D. programs with guaranteed $20,000 stipends starting Fall 2025!

🎉 Milestone Alert! 🎉 🚀 MELBA has officially published 100 high-quality articles! 🔬 💡 A huge thank you to our authors, reviewers, and readers for contributing to open-access research! Browse publications: melba-journal.org/issues/all.html

Missed the MICCAI deadline? No worries! 🚀 MELBA is open for submissions year-round! If you have high-quality research at the intersection of machine learning & biomedical imaging, consider submitting to our open-access journal. 🔗 More info here: melba-journal.org/for_authors.ht…

📢 Call for Papers – FAIMI Special Issue! 📢 MELBA invites submissions on Fairness of AI in Medical Imaging for a special issue. Topics include bias assessment, healthcare inequalities, fairness definitions, and more. 📅 Deadline: March 31, 2025 🔗 Info: faimi-workshop.github.io/2024-melba/

I had a fantastic week at the 2025 Bellairs Workshop on Causality bclworkshop.github.io/2025/ in Barbados. Thank you to organizers Perouz Taslakian and Alexandre Drouin for inviting me! I look forward to working with new collaborators on causality, time series modelling & medical imaging.

Congratulations to (now) Dr. Joshua Durso-Finley for successfully defending his thesis! Thank you for your many contributions to the lab and wishing you so much success in the next phase of your career! McGill Faculty of Engineering Mila - Institut québécois d'IA

Excited to speak at World Summit AI on advances in AI for healthcare! I’ll share recent work on AI-driven personalized medicine using medical images & building trustworthy AI through uncertainty and explainability using vision-language foundation models. Hope to see you there!

Healthcare is one of the most promising sectors for the application of AI. On this World Health Day, we want to highlight an initiative led by Professor Tal Arbel (Tal Arbel), and her team, who have developed the first causal inference model for personalized medicine based on 3D

Mila members Tal Arbel and Danilo Bzdok presented their research on AI for trustworthy image-based precision medicine and improved autism diagnosis on the main stage of the World Summit AI: We do AI different. in Montréal this morning.