Ian O. Ellis

Publication Activity (10 Years)

Years Active: 2002-2020
Publications (10 Years): 11

Top Topics

Selective Attention

Logistic Regression

Top Venues

Artif. Intell. Medicine

IEEE Trans. Medical Imaging

Publications

Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification. IEEE Trans. Medical Imaging 39 (6) (2020)
Amanda Koh, Dorina Roy, Alastair Gale, Raluca Mihai, Guprit Atwal, Ian O. Ellis, David R. J. Snead, Yan Chen
Understanding digital pathology performance: an eye tracking study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan M. Garibaldi, Ian O. Ellis, John M. S. Bartlett, David Cameron, Emad A. Rakha, Andrew R. Green
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. Artif. Intell. Medicine 97 (2019)
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. ISBI (2019)
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. IEEE Trans. Medical Imaging 38 (2) (2019)
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, Michelle Parisien, Cheryl Gillett, Steven McKinney, Andrew R. Green, Leigh Murphy, Arnie Purushotham, Ian O. Ellis, Paul D. P. Pharoah, Cristina Rueda, Samuel Aparicio, Carlos Caldas, Christina Curtis
Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups. Nat. 567 (7748) (2019)
Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. CoRR (2019)
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. CoRR (2019)
Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. MICCAI (2) (2019)
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray. CoRR (2018)
Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David R. J. Snead, Ian O. Ellis, Mohammad Ilyas, Nasir M. Rajpoot
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR (2017)
Daniele Soria, Jonathan M. Garibaldi, Andrew R. Green, Desmond G. Powe, Christopher C. Nolan, Christophe Lemetre, Graham R. Ball, Ian O. Ellis
A quantifier-based fuzzy classification system for breast cancer patients. Artif. Intell. Medicine 58 (3) (2013)
Jonathan M. Garibaldi, Shang-Ming Zhou, Xiao-Ying Wang, Robert Ivor John, Ian O. Ellis
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models. J. Biomed. Informatics 45 (3) (2012)
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
Discovering Hidden Pathways in Bioinformatics. CIBB (2011)
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Elia Biganzoli, Ian O. Ellis
A 'non-parametric' version of the naive Bayes classifier. Knowl. Based Syst. 24 (6) (2011)
Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa
Clustering of protein expression data: a benchmark of statistical and neural approaches. Soft Comput. 15 (8) (2011)
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, Elia Biganzoli, Ian O. Ellis
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 40 (3) (2010)
Khairul A. Rasmani, Jonathan M. Garibaldi, Qiang Shen, Ian O. Ellis
Linguistic rulesets extracted from a quantifier-based fuzzy classification system. FUZZ-IEEE (2009)
Paulo J. G. Lisboa, Ian O. Ellis, Andrew R. Green, Federico Ambrogi, M. Benjamin Dias
Cluster-based visualisation with scatter matrices. Pattern Recognit. Lett. 29 (13) (2008)
Shang-Ming Zhou, Robert Ivor John, Xiao-Ying Wang, Jonathan M. Garibaldi, Ian O. Ellis
Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments. IEEE Congress on Evolutionary Computation (2008)
Daniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis
A Comparison of Three Different Methods for Classification of Breast Cancer Data. ICMLA (2008)
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
An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers. Bioinform. 18 (3) (2002)