136 citations · 160 across the 7 of their papers we have counts for
3 papers · 1 filter
Synthetic white balancing for intra-operative hyperspectral imaging
Anisha Bahl, Conor C. Horgan, Mirek Janatka +10
Hyperspectral imaging shows promise for surgical applications to non-invasively provide spatially-resolved, spectral information. For calibration purposes, a white reference image…
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…
High-throughput molecular imaging via deep learning enabled Raman spectroscopy
Conor C. Horgan, Magnus Jensen, Anika Nagelkerke +4
Raman spectroscopy enables non-destructive, label-free imaging with unprecedented molecular contrast but is limited by slow data acquisition, largely preventing high-throughput ima…