An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers. - Graham R. Ball; Shahid Mian; F. Holding; R. O. Allibone; James Lowe; S. Ali; G. Li; S. McCardle; Ian O. Ellis; Colin Creaser; Robert C. Rees (Bioinform., 2002)

Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments. - Shang-Ming Zhou; Robert Ivor John; Xiao-Ying Wang; Jonathan M. Garibaldi; Ian O. Ellis (IEEE Congress on Evolutionary Computation, 2008)

A Comparison of Three Different Methods for Classification of Breast Cancer Data. - Daniele Soria; Jonathan M. Garibaldi; Elia Biganzoli; Ian O. Ellis (ICMLA, 2008)

Cluster-based visualisation with scatter matrices. - Paulo J. G. Lisboa; Ian O. Ellis; Andrew R. Green; Federico Ambrogi; M. Benjamin Dias (Pattern Recognit. Lett., 2008)

Linguistic rulesets extracted from a quantifier-based fuzzy classification system. - Khairul A. Rasmani; Jonathan M. Garibaldi; Qiang Shen 001; Ian O. Ellis (FUZZ-IEEE, 2009)

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. - Daniele Soria; Jonathan M. Garibaldi; Federico Ambrogi; Andrew R. Green; Des Powe; Emad A. Rakha; R. Douglas Macmillan; Roger W. Blamey; Graham R. Ball; Paulo J. G. Lisboa; Terence A. Etchells; Patrizia Boracchi; et al. (Comput. Biol. Medicine, 2010)

Discovering Hidden Pathways in Bioinformatics. - Paulo J. G. Lisboa; Ian H. Jarman; Terence A. Etchells; Simon J. Chambers; Davide Bacciu; Joe Whittaker; Jonathan M. Garibaldi; Sandra Ortega-Martorell; Alfredo Vellido; Ian O. Ellis (CIBB, 2011)

A 'non-parametric' version of the naive Bayes classifier. - Daniele Soria; Jonathan M. Garibaldi; Federico Ambrogi; Elia Biganzoli; Ian O. Ellis (Knowl. Based Syst., 2011)

Clustering of protein expression data: a benchmark of statistical and neural approaches. - Ian H. Jarman; Terence A. Etchells; Davide Bacciu; Jonathan M. Garibaldi; Ian O. Ellis; Paulo J. G. Lisboa (Soft Comput., 2011)

Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models. - Jonathan M. Garibaldi; Shang-Ming Zhou; Xiao-Ying Wang; Robert Ivor John; Ian O. Ellis (J. Biomed. Informatics, 2012)

A quantifier-based fuzzy classification system for breast cancer patients. - Daniele Soria; Jonathan M. Garibaldi; Andrew R. Green; Desmond G. Powe; Christopher C. Nolan; Christophe Lemetre; Graham R. Ball; Ian O. Ellis (Artif. Intell. Medicine, 2013)

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. - Talha Qaiser; Abhik Mukherjee; Chaitanya Reddy Pb; Sai Dileep Munugoti; Vamsi Tallam; Tomi Pitkäaho; Taina Lehtimäki; Thomas J. Naughton; Matt Berseth; Aníbal Pedraza; Ramakrishnan Mukundan; Matthew Smith 007; et al. (CoRR, 2017)

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray. - Jingxin Liu; Bolei Xu; Chi Zheng; Yuanhao Gong; Jon Garibaldi; Daniele Soria; Andrew R. Green; Ian O. Ellis; Wenbin Zou; Guoping Qiu (CoRR, 2018)

Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. - Bolei Xu; Jingxin Liu; Xianxu Hou; Bozhi Liu; Jon Garibaldi; Ian O. Ellis; Andy Green 001; Linlin Shen; Guoping Qiu (ISBI, 2019)

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. - Xianxu Hou; Jingxin Liu; Bolei Xu; Bozhi Liu; Xin Chen 003; Mohammad Ilyas; Ian O. Ellis; Jon Garibaldi; Guoping Qiu (MICCAI (2), 2019)

Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. - Utkarsh Agrawal; Daniele Soria; Christian Wagner 002; Jonathan M. Garibaldi; Ian O. Ellis; John M. S. Bartlett; David Cameron; Emad A. Rakha; Andrew R. Green (Artif. Intell. Medicine, 2019)

Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups. - Oscar M. Rueda; Stephen John Sammut; José A. Seoane; Suet-Feung Chin; Jennifer L. Caswell-Jin; Maurizio Callari; Rajbir Nath Batra; Bernard Pereira; Alejandra Bruna; H. Raza Ali; Elena Provenzano; Bin Liu; et al. (Nat., 2019)

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. - Jingxin Liu; Bolei Xu; Chi Zheng; Yuanhao Gong; Jon Garibaldi; Daniele Soria; Andrew R. Green; Ian O. Ellis; Wenbin Zou; Guoping Qiu (IEEE Trans. Medical Imaging, 2019)

Understanding digital pathology performance: an eye tracking study. - Amanda Koh; Dorina Roy; Alastair G. Gale; Raluca Mihai; Guprit Atwal; Ian O. Ellis; David R. J. Snead; Yan Chen 012 (Image Perception, Observer Performance, and Technology Assessment, 2020)

Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification. - Bolei Xu; Jingxin Liu; Xianxu Hou; Bozhi Liu; Jon Garibaldi; Ian O. Ellis; Andy Green 001; Linlin Shen; Guoping Qiu (IEEE Trans. Medical Imaging, 2020)