New Paper! Manual Registration in AR-Assisted Surgical Navigation: A Comparative Evaluation

We’re excited to share our latest publication in the International Journal of Computer Assisted Radiology and Surgery: “Manual Registration in AR-Assisted Surgical Navigation: A Comparative Evaluation”.

AR + AI pipeline for ioECoG localization

In this work, they (first author Jiaqi Tang with co-authors, in particular, Abdullah, Theo, and Mohamed from the BIGR) present a comparative study evaluating the accuracy of manual registration methods of different patient data using an optical see-through head-mounted display.

This short communication is open access in IJCARS (DOI: 10.1007/s11548-025-03410-4). If you’d like a brief demo GIF for this page or a social-media blurb, just say the word!