136 citations · 160 across the 7 of their papers we have counts for
7 papers
Unsupervised denoising of Raman spectra with cycle-consistent generative adversarial networks
Ciaran Bench, Mads S. Bergholt, Mohamed Ali al-Badri
Raman spectroscopy can provide insight into the molecular composition of cells and tissue. Consequently, it can be used as a powerful diagnostic tool, e.g. to help identify changes…
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…
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing
Charlie Budd, Jianrong Qiu, Oscar MacCormac +7
Hyperspectral imaging (HSI) captures a greater level of spectral detail than traditional optical imaging, making it a potentially valuable intraoperative tool when precise tissue d…
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…
Fluorescence-Guided Raman Spectroscopy for Tumour Margin Delineation
Conor C. Horgan, Mads S. Bergholt, May Zaw Thin +5
The initial detection and identification of suspicious lesions and the precise delineation of tumour mar-gins are essential for successful tumour resection, with progression-free s…
Integrated Photodynamic Raman Theranostics for Cancer Diagnosis, Treatment, and Post-Treatment Molecular Monitoring
Conor C. Horgan, Mads S. Bergholt, Anika Nagelkerke +6
Theranostics, the combination of diagnosis and therapy, has long held promise as a means to achieving personalised precision cancer treatments. However, despite its potential, ther…