Professor Gabriel Landini DrOdont, PhD

Professor Gabriel Landini

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

Contact details

The School of Dentistry
5 Mill Pool Way
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. 


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


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.


Recent publications


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.

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.

Landini, G, Martinelli, G & Piccinini, F 2020, 'Colour Deconvolution – stain unmixing in histological imaging', Bioinformatics.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

View all publications in research portal