We’re excited to share our latest publication in the International Journal of Computer Assisted Radiology and Surgery (presented at IPCAI 2025 17-18th June):
“Super-resolution for localizing electrode grids as small, deformable objects during epilepsy surgery using augmented reality headsets”.
In this work, they (first author Hizirwan S. Salim (SURF) with co-authors, in particular, Abdullah, Theo, and Mohamed from the BIGR) present a feasibility study that localizes intra-operative ECoG (ioECoG) electrode grids using an augmented-reality head-mounted display combined with AI.
The paper addresses the challenge of pose estimation of relatively small objects, difficult to detect using low resolution cameras of head-mounted displays, by using super-resolution models trained on synthetically rendered data of an ioECoG grid, a device used during epilepsy surgery.
This work is available open access in IJCARS (DOI: 10.1007/s11548-025-03401-5).
Code, synthetic data, and trained models: GitHub repository.
If you’d like a deeper dive or a demo clip/gif for this page, let us know!