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Program
Please find below the schedule for each day.
Please find the program in PDF format
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18th February: AI and Rehabilitation - Mathias Blandeau
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| 9:00 |
Opening session of the day
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| 9:15 | Session 1: AI and locomotor disorders detection | 1.1 Anaïs Chaumeil / Mathias Blandeau ETS Montréal - LAMIH Towards an ecological evaluation of falling risk |
| 1.2 Babak Taati KITE Research Institute Toronto Rehab UHN, U Toronto Assessing neurological and rare diseases through motion analysis |
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| 10:45 |
Coffee break
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| 11:00 | Session 2: AI and personalizating healthcare program | 2.1 Neila Mezghani TELUQ - ETS Montréal Personalizing orthopedic treatment for knee surgery |
| 2.2 Matei Mancas Université de Mons Heterogeneous data and time-line for personalizing healthcare |
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| 12:30 |
Lunch break
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| 14:00 | Session 3: AI for rehabilitation and mobility assistance | 3.1 Guillaume Durandau CRIR - Mc Gill University Neuromusculoskeletal modelling and deep learning for balance study |
| 3.2 Sylvia Pelayo CIC-IT Lille Beyond the myth of AI: practices, empowerment, and system transformations. Designing & implementing AI for rehabilitation and mobility assistance |
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| 15:30 |
Round table discussion (Pablo Piantanida + Mathias Blandeau + speakers)
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| 16:15 |
End of DAY 1
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19th February: AI, vision & robotics in healthcare - Nicolas Thome
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| 8:45 |
Opening session of the day
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| 9:00 | Session 1: Surgery | 1.1 Stefan Parent ( Sainte-Justine University Hospital, Montreal How AI Is Used in Imaging and Surgery: Enhancing Accuracy, Speed, and Clinical Decision-Making 1.2 Mathilde Gaumé APHP, Trousseau hospital, Paris Artificial Intelligence in Spine Surgery: Perspectives on Integrating AI to Optimize Patient Care |
| 10:30 |
Coffee break
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| 11:00 | Session 2: Surgical Vision & Robotics | 2.1 Marta Kersten-Oertel Concordia University Augmented Surgical Vision for Affordable and Precise Neurosurgical Guidance 2.2 Nicolas Padaoy ICube, University of Strasbourg Harnessing the Power of Vision and Language to Improve Surgical Safety |
| 12:30 |
Lunch break
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| 13:30 | Session 3: AI for Robotics 1 | 3.1 Doina Precup McGill University & DeepMind) 3.2 Glen Berseth (Mila, Université de Montréal) |
| 15:00 |
Coffee break
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| 15:30 | Session 4: AI for Robotics 2 | 4.1 Olivier Stasse (LAAS-CNRS, Toulouse) 4.2 Shizhe Chen (INRIA Paris, Willow) |
| 17:00 |
End of DAY 2
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20th February: Understanding the Brain with AI - Sylvain Bouix
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| 9:00 |
Opening session of the day
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| 9:15 | Session 1: Mathematical models of brain anatomy | 1.1 Pierre-Marc Jodoin Université de Sherbrooke MRI harmonization for real-life clinical applications. |
| 1.2 Demian Wassermann INRIA Saclay Predicting Cognition from Neuroimaging Phenotypes: Needs and Open problems for Clinical and Cognitive Neurosciences |
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| 45 |
Coffee break
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| 11:00 | Session 2: Mapping the brain function with AI | 2.1 Lune Bellec Université de Montréal Translating Brain Encoding Models to Clinical Cohorts: Challenges of Domain Adaptation. |
| 2.2 Bertrand Thirion INRIA Saclay Decoding whole-brain representations with AI. |
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| 12:30 |
Lunch break
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| 14:00 | Session 3 : Evaluating reproducibility and performance in AI-driven brain research | 3.1 Tristan Glatard CAMH - Krembil Centre for Neuroinformatics Uncertainty, benchmarks, and challenges in AI for mental health. |
| 3.2 Ninon Burgos Paris Brain Institute Ensuring Robust and Reproducible Results: The Role of Open-Source Software, Rigorous Evaluation, and Real-World Data in AI for Neuroimaging. |
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| 15:30 |
Round table discussion moderated by Jean-Baptiste Poline
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| 16:15 |
End of DAY 3
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