Daniele Soria
Daniele Soria
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Zitiert von
Zitiert von
Global histone modifications in breast cancer correlate with tumor phenotypes, prognostic factors, and patient outcome
SE Elsheikh, AR Green, EA Rakha, DG Powe, RA Ahmed, HM Collins, ...
Cancer research 69 (9), 3802-3809, 2009
A ‘non-parametric’version of the naive Bayes classifier
D Soria, JM Garibaldi, F Ambrogi, EM Biganzoli, IO Ellis
Knowledge-Based Systems 24 (6), 775-784, 2011
Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer
EA Rakha, D Soria, AR Green, C Lemetre, DG Powe, CC Nolan, ...
British journal of cancer 110 (7), 1688-1697, 2014
Biology of primary breast cancer in older women treated by surgery: with correlation with long-term clinical outcome and comparison with their younger counterparts
BM Syed, AR Green, EC Paish, D Soria, J Garibaldi, L Morgan, ...
British journal of cancer 108 (5), 1042-1051, 2013
MYC regulation of glutamine–proline regulatory axis is key in luminal B breast cancer
ML Craze, H Cheung, N Jewa, NDM Coimbra, D Soria, R El-Ansari, ...
British journal of cancer 118 (2), 258-265, 2018
p53 status identifies two subgroups of triple-negative breast cancers with distinct biological features
E Biganzoli, D Coradini, F Ambrogi, JM Garibaldi, P Lisboa, D Soria, ...
Japanese journal of clinical oncology 41 (2), 172-179, 2011
A comparison of three different methods for classification of breast cancer data
D Soria, JM Garibaldi, E Biganzoli, IO Ellis
2008 Seventh International Conference on Machine Learning and Applications …, 2008
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients
D Soria, JM Garibaldi, F Ambrogi, AR Green, D Powe, E Rakha, ...
Computers in Biology and Medicine 40 (3), 318-330, 2010
Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers
AR Green, DG Powe, EA Rakha, D Soria, C Lemetre, CC Nolan, ...
British journal of cancer 109 (7), 1886-1894, 2013
Characteristics of basal cytokeratin expression in breast cancer
AT Alshareeda, D Soria, JM Garibaldi, E Rakha, C Nolan, IO Ellis, ...
Breast cancer research and treatment 139, 23-37, 2013
An end-to-end deep learning histochemical scoring system for breast cancer TMA
J Liu, B Xu, C Zheng, Y Gong, J Garibaldi, D Soria, A Green, IO Ellis, ...
IEEE transactions on medical imaging 38 (2), 617-628, 2018
Nottingham prognostic index plus: validation of a clinical decision making tool in breast cancer in an independent series
AR Green, D Soria, J Stephen, DG Powe, CC Nolan, I Kunkler, J Thomas, ...
The Journal of Pathology: Clinical Research 2 (1), 32-40, 2016
Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndrome
JF Liu, RA Dineen, S Avula, T Chambers, M Dutta, T Jaspan, ...
British journal of neurosurgery 32 (1), 18-27, 2018
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles
U Agrawal, D Soria, C Wagner, J Garibaldi, IO Ellis, JMS Bartlett, ...
Artificial Intelligence in Medicine 97, 27-37, 2019
KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer–a targeted molecular approach
WJF Green, G Ball, G Hulman, C Johnson, G Van Schalwyk, HL Ratan, ...
British journal of cancer 115 (2), 236, 2016
Interpretability indices for hierarchical fuzzy systems
TR Razak, JM Garibaldi, C Wagner, A Pourabdollah, D Soria
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems—A Participatory Design Approach
TR Razak, JM Garibaldi, C Wagner, A Pourabdollah, D Soria
IEEE Transactions on Fuzzy Systems 29 (5), 1160-1172, 2020
Illness beliefs predict mortality in patients with diabetic foot ulcers
K Vedhara, K Dawe, JNV Miles, MA Wetherell, N Cullum, C Dayan, ...
PloS one 11 (4), e0153315, 2016
A quantifier-based fuzzy classification system for breast cancer patients
D Soria, JM Garibaldi, AR Green, DG Powe, CC Nolan, C Lemetre, ...
Artificial intelligence in medicine 58 (3), 175-184, 2013
Markers of progression in early-stage invasive breast cancer: a predictive immunohistochemical panel algorithm for distant recurrence risk stratification
MA Aleskandarany, D Soria, AR Green, C Nolan, M Diez-Rodriguez, ...
Breast cancer research and treatment 151, 325-333, 2015
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