2 citations · 4 across the 2 of their papers we have counts for
3 papers
AI-Enhanced Hyperspectral Imaging for Intraoperative Detection of Low-Grade Glioma: A Clinical Study
Siri Willems, Ishika Jain, Jens De Winne +9
Current image-guided neuronavigation techniques, such as intraoperative MRI and ultrasound, are limited by high costs, limited sensitivity and operational complexity. There is a cl…
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
Mayar Lotfy Mostafa, Anna Alperovich, Tommaso Giannantonio +8
Segmenting the boundary between tumor and healthy tissue during surgical cancer resection poses a significant challenge. In recent years, Hyperspectral Imaging (HSI) combined with…
Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging
Tommaso Giannantonio, Anna Alperovich, Piercosimo Semeraro +9
Surgery for gliomas (intrinsic brain tumors), especially when low-grade, is challenging due to the infiltrative nature of the lesion. Currently, no real-time, intra-operative, labe…