Salma Dammak
Radboudumc, The Netherlands
Weakly-supervised learning with foundation models on large-scale data.
Invited speakers
Speakers
Confirmed speakers for the two tracks, including the shared opening keynote and the joint panel.
CVPath track
Computational and digital pathology
Matthew J. Cecchini
Western University and London Health Sciences Centre, Canada
Clinical adoption of AI in diagnostic pathology.
Vision4Neuro track
Neural decoding, behaviour and clinical neuroscience
Vince D. Calhoun
Georgia State University, Georgia Tech and Emory, USA
Shared opening keynote
Multimodal neuroimaging fusion and deep learning for population-scale modelling of brain disorders.
Gil Salu
New College of Florida, USA
Invited talk
Multimodal brain encoding models and shared representational structure across subjects.
Targol Bakhtiarvand
University of Colorado Colorado Springs, USA
Invited talk
Machine learning for seizure prediction and detection under clinical deployment constraints.
Walter J. Scheirer
University of Notre Dame, USA
Joint panel
Visual psychophysics as an evaluation methodology for vision systems, and connectome-informed models of biological vision.
Iman Dehzangi
Rutgers University, USA
Joint panel
Deep learning for neuroimaging and clinical decision support.