Emad A. Rakha

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients

Paulo J. G. Lisboa, Jonathan M. Garibaldi, Elia Biganzoli, 2010, Comput. Biol. Medicine.

Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles

Jonathan M. Garibaldi, David Cameron, John M. S. Bartlett, 2019, Artif. Intell. Medicine.

Combinatorial biomarker expression in breast cancer

Emad A. Rakha, Ian O. Ellis, Jorge S. Reis-Filho, 2010, Breast Cancer Research and Treatment.

Loss of expression of chromosome 16q genes DPEP1 and CTCF in lobular carcinoma in situ of the breast

Andrew R. Green, Emad A. Rakha, Ian O. Ellis, 2008, Breast Cancer Research and Treatment.

Tumour Heterogeneity of Breast Cancer: From Morphology to Personalised Medicine

Emad A. Rakha, Ian O. Ellis, Michel E. Vandenberghe, 2018, Pathobiology.

MIB1/Ki-67 labelling index can classify grade 2 breast cancer into two clinically distinct subgroups

Andrew R. Green, Emad A. Rakha, R. Douglas Macmillan, 2011, Breast Cancer Research and Treatment.

TOMM34 expression in early invasive breast cancer: a biomarker associated with poor outcome

Carlos Caldas, Andrew R. Green, Emad A. Rakha, 2012, Breast Cancer Research and Treatment.

Artificial intelligence in digital breast pathology: Techniques and applications

Ronnachai Jaroensri, Mohammed M. Abdelsamea, Emad A. Rakha, 2019, Breast.

Tumor size is an unreliable predictor of prognosis in basal-like breast cancers and does not correlate closely with lymph node status

Andrew R. Green, Emad A. Rakha, Ian O. Ellis, 2009, Breast Cancer Research and Treatment.