New paper accepted at IPMI 2023
We are happy to share the paper "Live Image-Based Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding” by newly admitted PhD student Gary Sarwin.
The paper was accepted as an oral presentation and the summary of it is as follows:
Advanced minimally invasive neurosurgery navigation primarily relies on MRI guidance, which uses pre-operative information and therefore becomes less reliable once surgery begins due to anatomical changes. In a first attempt to address this, Sarwin et al. present a live image-only guidance method, using deep learning for object detection in neurosurgical images and generating surgical roadmaps using unsupervised embedding without requiring precise anatomical matches or extensive atlases. This approach enables real-time surgical guidance by predicting future anatomical structures in both forward and backward direction based on a surgeon's live location.
You can access it via this link: external page https://link.springer.com/chapter/10.1007/978-3-031-34048-2_9