2 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.IV2024★ 1 cited
A Spectral Library and Method for Sparse Unmixing of Hyperspectral Images in Fluorescence Guided Resection of Brain Tumors
David Black, Benoit Liquet, Sadahiro Kaneko +3
Through spectral unmixing, hyperspectral imaging (HSI) in fluorescence-guided brain tumor surgery has enabled detection and classification of tumor regions invisible to the human e…
q-bio.TO2023★ 2 cited
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection
David Black, Declan Byrne, Anna Walke +6
Complete resection of malignant gliomas is hampered by the difficulty in distinguishing tumor cells at the infiltration zone. Fluorescence guidance with 5-ALA assists in reaching t…