Recent publications
Article
Harper, R, Shelton, R, James, J, Salvati, E, Besnard, C, Korsunsky, AM & Landini, G 2020, 'Acid-induced demineralisation of human enamel as a function of time and pH observed using X-ray and polarised light imaging', Acta Biomaterialia, vol. 0, pp. 1-27. https://doi.org/10.1016/j.actbio.2020.04.045
Landini, G, Martinelli, G & Piccinini, F 2020, 'Colour Deconvolution – stain unmixing in histological imaging', Bioinformatics. https://doi.org/10.1093/bioinformatics/btaa847
Landini, G, Song, M & Mehanna, H 2020, 'Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks', Computerized Medical Imaging and Graphics.
Salvati, E, Besnard, C, Harper, R, Moxham, T, Shelton, R, Landini, G & Korsunsky, AM 2019, 'Crack tip stress field analysis of crack surface contact and opening during in situ wedge loading of human enamel', Key Engineering Materials, vol. 827, pp. 85-91. https://doi.org/10.4028/www.scientific.net/KEM.827.85
Landini, G, Galton, A, Randell, D & Fouad, S 2019, 'Novel applications of discrete mereotopology to mathematical morphology', Signal Processing: Image Communication, vol. 76, pp. 109-117. https://doi.org/10.1016/j.image.2019.04.018
Sui, T, Salvati, E, Harper, R, Zhang, H, Shelton, R, Landini, G & Korsunsky, AM 2018, 'In situ monitoring and analysis of enamel demineralisation using synchrotron X-ray scattering', Acta Biomaterialia, vol. 77, pp. 333-341. https://doi.org/10.1016/j.actbio.2018.07.027
Flight, R, Landini, G, Styles, I, Shelton, R, Milward, M & Cooper, P 2018, 'Automated non-invasive cell counting in phase contrast microscopy with automated image analysis parameter selection', Journal of Microscopy. https://doi.org/10.1111/jmi.12726
Abdulkareem, A, Cooper, P, Milward, M, Landini, G & Shelton, R 2018, 'Potential role of periodontal pathogens in compromising epithelial barrier function by inducing epithelial-mesenchymal transition', Journal of Periodontal Research. https://doi.org/10.1111/jre.12546
Sui, T, Dluhoš, J, Li, T, Zeng, K, Cernescu, A, Landini, G & Korsunsky, AM 2018, 'Structure-function correlative microscopy of peritubular and intertubular dentine', Materials, vol. 11, no. 9, 1493. https://doi.org/10.3390/ma11091493
Landini, G, Randell, D, Fouad, S & Galton, A 2017, 'Automatic thresholding from the gradients of region boundaries', Journal of Microscopy, vol. 265, no. 2, pp. 185-195. https://doi.org/10.1111/jmi.12474
Wang, A, Jones, I, Mei, J, Tse, YY, Landini, G, Li, Y, Ke, L, Huang, Y, Liu, L, Wang, C & Sammons, R 2017, 'Backscattered Electron Imaging and Electron Backscattered Diffraction in the Study of Bacterial Attachment to Titanium Alloy Structure', Journal of Microscopy. https://doi.org/10.1111/jmi.12649
Fouad, S, Randell, D, Galton, A, Mehanna, H & Landini, G 2017, 'Epithelium and Stroma Identification in Histopathological Images using Unsupervised and Semi-supervised Superpixel-based Segmentation', Journal of Imaging, vol. 3, no. 4 (Special Issue "Selected Papers from “MIUA 2017”"), 61. https://doi.org/10.3390/jimaging3040061
Randell, D, Galton, A, Fouad, S, Mehanna, H & Landini, G 2017, 'Mereotopological Correction of Segmentation Errors in Histological Imaging', Journal of Imaging, vol. 3, no. 4 (Special Issue "Selected Papers from “MIUA 2017”"), 63. https://doi.org/10.3390/jimaging3040063
Conference contribution
Song, T-H, Landini, G, Fouad, S & Mehanna, H 2019, Epithelial segmentation from in situ hybridisation histological samples using a deep central attention learning approach. in 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)., 8759384, Proceedings - International Symposium on Biomedical Imaging, vol. 2019-April, Institute of Electrical and Electronics Engineers (IEEE), pp. 1527-1531, 2019 IEEE 16th International Symposium on Biomedical Imaging , Venice, Italy, 8/04/19. https://doi.org/10.1109/ISBI.2019.8759384
Randell, D, Galton, A, Fouad, S, Mehanna, H & Landini, G 2017, Model-based Correction of Segmentation Errors in Digitised Histological Images. in Medical image understanding and analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings. Communications in computer and information science, vol. 723, Springer, pp. 718-730, Medical Image Understanding and Analysis (MIUA) 2017, United Kingdom, 11/07/17. https://doi.org/10.1007/978-3-319-60964-5_63
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