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ORCIDIan O. Ellis
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2020 – today
- 2020
[j11]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): 1930-1941 (2020)- [c7]Amanda Koh, Dorina Roy, Alastair G. Gale, Raluca Mihai, Guprit Atwal, Ian O. Ellis, David R. J. Snead, Yan Chen:
Understanding digital pathology performance: an eye tracking study. Image Perception, Observer Performance, and Technology Assessment 2020: 1131607
2010 – 2019
- 2019
- [j10]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: 27-37 (2019) - [j9]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): 399-404 (2019) - [j8]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): 617-628 (2019) - [c6]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: 914-918 - [c5]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: 101-109 - [i4]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 abs/1902.10946 (2019) - [i3]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 abs/1909.11524 (2019) - 2018
- [i2]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 abs/1801.06288 (2018) - 2017
- [i1]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:
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR abs/1705.08369 (2017) - 2013
- [j7]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): 175-184 (2013) - 2012
- [j6]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): 447-459 (2012) - 2011
- [j5]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): 775-784 (2011) - [j4]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): 1459-1469 (2011) - [c4]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: 49-60 - 2010
- [j3]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): 318-330 (2010)
2000 – 2009
- 2009
- [c3]Khairul A. Rasmani, Jonathan M. Garibaldi, Qiang Shen, Ian O. Ellis:
Linguistic rulesets extracted from a quantifier-based fuzzy classification system. FUZZ-IEEE 2009: 1204-1209 - 2008
- [j2]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): 1814-1823 (2008) - [c2]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: 1469-1475 - [c1]Daniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis:
A Comparison of Three Different Methods for Classification of Breast Cancer Data. ICMLA 2008: 619-624 - 2002
- [j1]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): 395-404 (2002)
Coauthor Index
aka: Jon Garibaldi
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