6 citations · 8 across the 13 of their papers we have counts for
3 papers · 1 filter
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…
Unsupervised segmentation of biomedical hyperspectral image data: tackling high dimensionality with convolutional autoencoders
Ciaran Bench, Jayakrupakar Nallala, Chun-Chin Wang +2
Information about the structure and composition of biopsy specimens can assist in disease monitoring and diagnosis. In principle, this can be acquired from Raman and infrared (IR)…
Towards accurate quantitative photoacoustic imaging: learning vascular blood oxygen saturation in 3D
Ciaran Bench, Andreas Hauptmann, Ben Cox
Significance: 2D fully convolutional neural networks have been shown capable of producing maps of sO from 2D simulated images of simple tissue models. However, their potential…