Ian O. Ellis

22 papers B 2C 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2020 J jnl
Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification.
IEEE Trans. Medical Imaging
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
2020 — conf
Understanding digital pathology performance: an eye tracking study.
Image Perception, Observer Performance, and Technology Assessment
Amanda Koh, Dorina Roy, Alastair G. Gale, Raluca Mihai, Guprit Atwal, Ian O. Ellis, David R. J. Snead, Yan Chen
2019 J jnl
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.
IEEE Trans. Medical Imaging
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
2019 J jnl
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.
Artif. Intell. Medicine
Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan M. Garibaldi, Ian O. Ellis, John M. S. Bartlett, David Cameron, Emad A. Rakha, Andrew R. Green
2019 — conf
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation.
MICCAI (2)
Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu
2019 J jnl
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation.
CoRR
Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu
2019 J jnl
Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups.
Nat.
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
2019 — conf
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification.
ISBI
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
2019 J jnl
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification.
CoRR
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
2018 J jnl
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray.
CoRR
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
2017 J jnl
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues.
CoRR
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, 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
2013 J jnl
A quantifier-based fuzzy classification system for breast cancer patients.
Artif. Intell. Medicine
Daniele Soria, Jonathan M. Garibaldi, Andrew R. Green, Desmond G. Powe, Christopher C. Nolan, Christophe Lemetre, Graham R. Ball, Ian O. Ellis
2012 J jnl
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models.
J. Biomed. Informatics
Jonathan M. Garibaldi, Shang-Ming Zhou, Xiao-Ying Wang, Robert Ivor John, Ian O. Ellis
2011 J jnl
A 'non-parametric' version of the naive Bayes classifier.
Knowl. Based Syst.
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Elia Biganzoli, Ian O. Ellis
2011 J jnl
Clustering of protein expression data: a benchmark of statistical and neural approaches.
Soft Comput.
Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa
2011 — conf
Discovering Hidden Pathways in Bioinformatics.
CIBB
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
2010 J jnl
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.
Comput. Biol. Medicine
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
2009 B conf
Linguistic rulesets extracted from a quantifier-based fuzzy classification system.
FUZZ-IEEE
Khairul A. Rasmani, Jonathan M. Garibaldi, Qiang Shen, Ian O. Ellis
2008 C conf
A Comparison of Three Different Methods for Classification of Breast Cancer Data.
ICMLA
Daniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis
2008 J jnl
Cluster-based visualisation with scatter matrices.
Pattern Recognit. Lett.
Paulo J. G. Lisboa, Ian O. Ellis, Andrew R. Green, Federico Ambrogi, M. Benjamin Dias
2008 B conf
Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments.
IEEE Congress on Evolutionary Computation
Shang-Ming Zhou, Robert Ivor John, Xiao-Ying Wang, Jonathan M. Garibaldi, Ian O. Ellis
2002 J jnl
An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers.
Bioinform.
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