136 citations · 174 across the 8 of their papers we have counts for
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eess.IV2021
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
Peichao Li, Michael Ebner, Philip Noonan +5
Hyperspectral imaging is one of the most promising techniques for intraoperative tissue characterisation. Snapshot mosaic cameras, which can capture hyperspectral data in a single…
eess.IV2021★ 2 cited
spectrai: A deep learning framework for spectral data
Conor C. Horgan, Mads S. Bergholt
Deep learning computer vision techniques have achieved many successes in recent years across numerous imaging domains. However, the application of deep learning to spectral data re…