Ian O. Ellis
Orcid: 0000-0001-5292-8474
According to our database1,
Ian O. Ellis
authored at least 20 papers
between 2002 and 2020.
Collaborative distances:
Collaborative distances:
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Bibliography
2020
Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification.
IEEE Trans. Medical Imaging, 2020
Proceedings of the Medical Imaging 2020: Image Perception, 2020
2019
IEEE Trans. Medical Imaging, 2019
Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups.
Nat., 2019
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.
Artif. Intell. Medicine, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray.
CoRR, 2018
2017
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues.
CoRR, 2017
2013
Artif. Intell. Medicine, 2013
2012
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models.
J. Biomed. Informatics, 2012
2011
Clustering of protein expression data: a benchmark of statistical and neural approaches.
Soft Comput., 2011
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
2010
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.
Comput. Biol. Medicine, 2010
2009
Proceedings of the FUZZ-IEEE 2009, 2009
2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2002
An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers.
Bioinform., 2002