Fractal Characterisation and Computer Modelling of Herpes Simplex Virus Spread in the Human Corneal Epithelium. - Gabriel Landini; Gary P. Mission; P. I. Murray (Fractals in the Natural and Applied Sciences, 1993)

Notes on the implementation of the mass-radius method of fractal dimension estimation. - Gabriel Landini; John W. Rippin (Comput. Appl. Biosci., 1993)

Fractal anamorphosis: look up table transform using self-affine series. - Gabriel Landini (Comput. Graph., 1997)

Evidence of Linguistic Structure in the Voynich Manuscript Using Spectral Analysis. - Gabriel Landini (Cryptologia, 2001)

Image Processing of Finite Size Rat Retinal Ganglion Cells Using Multifractal and Local Connected Fractal Analysis. - Herbert F. Jelinek; David Cornforth; Anthony J. Roberts; Gabriel Landini; Paul David Bourke; Antony W. Iorio (Australian Conference on Artificial Intelligence, 2004)

The application of support vector machine classification to detect cell nuclei for automated microscopy. - Ji Wan Han; Toby P. Breckon; David A. Randell; Gabriel Landini (Mach. Vis. Appl., 2012)

Discrete Mereotopology for Spatial Reasoning in Automated Histological Image Analysis. - David A. Randell; Gabriel Landini; Antony Galton (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Semi-Automated Cell Counting in Phase Contrast Images of Epithelial Monolayers. - Rachel Flight; Gabriel Landini; Iain B. Styles; Richard Shelton; Michael Milward; Paul Cooper (MIUA, 2014)

Automated Optimisation of Cell Segmentation Parameters in Phase Contrast Microscopy using Discrete Mereotopology. - Rachel Flight; Gabriel Landini; Iain B. Styles; Richard Shelton; Michael Milward; Paul Cooper (MIUA, 2015)

Multifractal Texture Analysis using a Dilation-based Hölder Exponent. - João Batista Florindo; Odemir Martinez Bruno; Gabriel Landini (VISAPP (1), 2015)

Texture descriptors by a fractal analysis of three-dimensional local coarseness. - João Batista Florindo; Gabriel Landini; Odemir Martinez Bruno (Digit. Signal Process., 2015)

Ontological Levels in Histological Imaging. - Antony Galton; Gabriel Landini; David A. Randell; Shereen Fouad (FOIS, 2016)

Morphological Separation of Clustered Nuclei in Histological Images. - Shereen Fouad; Gabriel Landini; David A. Randell; Antony Galton (ICIAR, 2016)

Three-dimensional connectivity index for texture recognition. - João Batista Florindo; Gabriel Landini; Odemir M. Bruno (Pattern Recognit. Lett., 2016)

Errors and Artefacts in Histopathological Imaging. - Antony Galton; Shereen Fouad; Gabriel Landini; David A. Randell (ICBO, 2017)

Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering. - Shereen Fouad; David A. Randell; Antony Galton; Hisham Mehanna; Gabriel Landini (MIUA, 2017)

Model-Based Correction of Segmentation Errors in Digitised Histological Images. - David A. Randell; Antony Galton; Shereen Fouad; Hisham Mehanna; Gabriel Landini (MIUA, 2017)

Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors. - João Batista Florindo; Odemir M. Bruno; Gabriel Landini (Comput. Biol. Medicine, 2017)

Epithelium and Stroma Identification in Histopathological Images Using Unsupervised and Semi-Supervised Superpixel-Based Segmentation. - Shereen Fouad; David A. Randell; Antony Galton; Hisham Mehanna; Gabriel Landini (J. Imaging, 2017)

Mereotopological Correction of Segmentation Errors in Histological Imaging. - David A. Randell; Antony Galton; Shereen Fouad; Hisham Mehanna; Gabriel Landini (J. Imaging, 2017)

Epithelial Segmentation From In Situ Hybridisation Histological Samples Using A Deep Central Attention Learning Approach. - Tzu-Hsi Song; Gabriel Landini; Shereen Fouad; Hisham Mehanna (ISBI, 2019)

Novel applications of discrete mereotopology to mathematical morphology. - Gabriel Landini; Antony Galton; David A. Randell; Shereen Fouad (Signal Process. Image Commun., 2019)

Colour deconvolution: stain unmixing in histological imaging. - Gabriel Landini; Giovanni Martinelli; Filippo Piccinini (Bioinform., 2021)

Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks. - Shereen Fouad; Gabriel Landini; Max Robinson; Tzu-Hsi Song; Hisham Mehanna (Comput. Medical Imaging Graph., 2021)

An Explainable Deep Learning Framework for Mandibular Canal Segmentation from Cone Beam Computed Tomography Volumes. - Konstantinos Barzas; Shereen Fouad; Gainer Jasa; Gabriel Landini (ICCABS, 2023)

Medical image classification using a combination of features from convolutional neural networks. - Marina M. M. Rocha; Gabriel Landini; João Batista Florindo (Multim. Tools Appl., 2023)