most citedUnsupervised denoising of Raman spectra with cycle-consistent generative adversarial networks

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2025

Style transfer as data augmentation: evaluating unpaired image-to-image translation models in mammography

Emir Ahmed, Spencer A. Thomas, Ciaran Bench

Several studies indicate that deep learning models can learn to detect breast cancer from mammograms (X-ray images of the breasts). However, challenges with overfitting and poor ge…

physics.med-ph2023★ 2 cited

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…

physics.med-ph2023★ 1 cited

Enhancing synthetic training data for quantitative photoacoustic tomography with generative deep learning

Ciaran Bench, Ben T. Cox

Multiwavelength photoacoustic images encode information about a tissue's optical absorption distribution. This can be used to estimate its blood oxygen saturation distribution (sO2…