Bayesian bacterial detection using irregularly sampled optical endomicroscopy images

Autor: Eldaly, Ahmed Karam, Altmann, Yoann, Akram, Ahsan, McCool, Paul, Perperidis, Antonios, Dhaliwal, Kevin, McLaughlin, Stephen

Publikováno v: In Medical Image Analysis October 2019 57:18-31

Improved pattern recognition classification accuracy for surface myoelectric signals using spectral enhancement

Autor: McCool, Paul, Petropoulakis, Lykourgos, Soraghan, John J., Chatlani, Navin

Publikováno v: In Biomedical Signal Processing and Control April 2015 18:61-68

Assessing the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans

Autor: Seth, Sohan, Akram, Ahsan R., McCool, Paul, Westerfeld, Jody, Wilson, David, McLaughlin, Stephen, Dhaliwal, Kevin, Williams, Christopher K I

Publikováno v: Scientific Reports
Seth, S, Akram, A R, McCool, P, Westerfeld, J, Wilson, D, McLaughlin, S, Dhaliwal, K & Williams, C K I 2016, ' Assessing the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans ', Scientific Reports, vol. 6, 31372 . https://doi.org/10.1038/srep31372

Solitary pulmonary nodules are common, often incidental findings on chest CT scans. The investigation of pulmonary nodules is time-consuming and often leads to protracted follow-up with ongoing radiological surveillance, however, clinical calculators

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1-D Local Binary Patterns for onset detection of myoelectric signals.

Autor: McCool, Paul, Chatlani, Navin, Petropoulakis, Lykourgos, Soraghan, John J., Menon, Radhika, Lakany, Heba

Publikováno v: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO); 1/ 1/2012, p499-503, 5p