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Check out our new work titled: “Information Gain Sampling for Active Learning in Medical Image Classification”. We will present this work at UNSURE workshop 2025 #MICCAI2022. This is joint work with @jmdbsa0012 Brennan Nichyporuk Tal Arbel Probabilistic Vision Group McGill CIM.

@jmdbsa0012, postdoctoral fellow at Probabilistic Vision Group Mila - Institut québécois d'IA, presenting new work on mitigating calibration biases in medical image analysis at today's tea talk Mila - Institut québécois d'IA.

Interested in working on #DeepLearning for image-based #PersonalizedMedicine? We are looking for domestic (Canadian / PR) PhD & MSc candidates to join Probabilistic Vision Group Mila - Institut québécois d'IA under the supervision of Tal Arbel starting Fall 2023. See cim.mcgill.ca/~pvg/positions/ for details.

Get ready to be inspired: Tal Arbel, Canada CIFAR AI Chair Mila - Institut québécois d'IA & Full Professor, Electrical & Computer Engineering McGill University will join our esteemed panel of speakers at #WSAIAM23 in just TWO WEEKS.🔥🔥🔥 Book your tickets TODAY 🎇 👉 hubs.li/Q01Kw0BF0 #BYOBrains

Congratulations to Amar Kumar, a Probabilistic Vision Group Mila - Institut québécois d'IA McGill CIM McGill University PhD student, on receiving a scholarship for his research focused on developing fairness-driven methods for personalized image marker discovery for minority groups.

Thank you so much for the opportunity to present our work!

🦾 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.