Professor Gabriel Landini DrOdont, PhD

Professor Gabriel Landini

School of Dentistry
Professor of Analytical Pathology and Head of Oral Pathology Unit

Contact details

Address
The School of Dentistry
5 Mill Pool Way
Edgbaston
Birmingham
B5 7EG
United Kingdom

Gabriel Landini is Professor of Analytical Pathology and Head of the Oral Pathology Unit, at the School of Dentistry in the Institute of Clinical Sciences.

Director of Postgraduate Research Studies (Dentistry) since January 2017. 

Qualifications

  • PhD, 1991, Kagoshima University, Japan.
  • Doctor of Odontology, 1984, Universidad de la Republica, Uruguay.

Teaching

Postgraduate supervision

Professor Landini is interested in supervising doctoral researchers in the following areas:

Quantitative microscopy of oral cancer and oral mucosa ageing
Intelligent imaging methods for histological image interpretation
Biological object segmentation, image enhancement and digital staining
Analysis and computer modelling of cell mixing in heterogeneous populations in vitro

Other activities

Gabriel is part of the international group of scientists contributing to the development of open source image processing modules for scientific imaging using the ImageJ and Fiji platforms.

Publications

Recent publications

Article

Fouad, S, Landini, G, Robinson, M, Song, M & Mehanna, H 2021, '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, vol. 88, 101853. https://doi.org/10.1016/j.compmedimag.2021.101853

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

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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