High-throughput molecular imaging via deep learning enabled Raman spectroscopy. - Conor C. Horgan; Magnus Jensen; Anika Nagelkerke; Jean-Phillipe St-Pierre; Tom Vercauteren; Molly M. Stevens; Mads S. Bergholt (CoRR, 2020)

spectrai: A deep learning framework for spectral data. - Conor C. Horgan; Mads S. Bergholt (CoRR, 2021)

Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction. - Peichao Li; Michael Ebner; Philip J. Noonan; Conor C. Horgan; Anisha Bahl; Sébastien Ourselin; Jonathan Shapey; Tom Vercauteren (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging. - Peichao Li; Muhammad Asad 001; Conor C. Horgan; Oscar MacCormac; Jonathan Shapey; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2023)

Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB). - Luis C. García-Peraza-Herrera; Conor C. Horgan; Sébastien Ourselin; Michael Ebner; Tom Vercauteren (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)