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Azzam Taktak
Azzam Taktak
Professor of Biomedical Engineering
Verified email at bristol.ac.uk
Title
Cited by
Cited by
Year
The use of artificial neural networks in decision support in cancer: a systematic review
PJ Lisboa, AFG Taktak
Neural networks 19 (4), 408-415, 2006
6512006
Estimating prognosis for survival after treatment of choroidal melanoma
B Damato, A Eleuteri, AFG Taktak, SE Coupland
Progress in retinal and eye research 30 (5), 285-295, 2011
2662011
Chemoresistance in pancreatic cancer is driven by stroma-derived insulin-like growth factors
L Ireland, A Santos, MS Ahmed, C Rainer, SR Nielsen, V Quaranta, ...
Cancer research 76 (23), 6851-6863, 2016
2532016
A fuzzy system for detecting distorted plethysmogram pulses in neonates and paediatric patients
SY Belal, AFG Taktak, AJ Nevill, SA Spencer
Physiological Measurement 22 (2), 397, 2001
1362001
Multiplex ligation-dependent probe amplification of conjunctival melanoma reveals common BRAF V600E gene mutation and gene copy number changes
SL Lake, F Jmor, J Dopierala, AFG Taktak, SE Coupland, BE Damato
Investigative ophthalmology & visual science 52 (8), 5598-5604, 2011
1192011
Genetic heterogeneity in uveal melanoma assessed by multiplex ligation-dependent probe amplification
J Dopierala, BE Damato, SL Lake, AFG Taktak, SE Coupland
Investigative ophthalmology & visual science 51 (10), 4898-4905, 2010
1062010
Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network-based fuzzy inference system
SY Belal, AFG Taktak, AJ Nevill, SA Spencer, D Roden, S Bevan
Artificial intelligence in medicine 24 (2), 149-165, 2002
902002
Artificial neural networks estimating survival probability after treatment of choroidal melanoma
B Damato, A Eleuteri, AC Fisher, SE Coupland, AFG Taktak
Ophthalmology 115 (9), 1598-1607, 2008
862008
Clinical implication of pretreatment neutrophil to lymphocyte ratio in soft tissue sarcoma
OK Idowu, Q Ding, AFG Taktak, CR Chandrasekar, Q Yin
Biomarkers 17 (6), 539-544, 2012
772012
Patterns of BAP1 protein expression provide insights into prognostic significance and the biology of uveal melanoma
N Farquhar, S Thornton, SE Coupland, JM Coulson, JJ Sacco, Y Krishna, ...
The Journal of Pathology: Clinical Research 4 (1), 26-38, 2018
762018
Enhancing survival prognostication in patients with choroidal melanoma by integrating pathologic, clinical and genetic predictors of metastasis
A Eleuteri, B Damato, SE Coupland, AFG Taktak
International Journal of Biomedical Engineering and Technology 8 (1), 18-35, 2012
672012
External validation of the Liverpool uveal melanoma prognosticator online
SW DeParis, A Taktak, A Eleuteri, W Enanoria, H Heimann, SE Coupland, ...
Investigative ophthalmology & visual science 57 (14), 6116-6122, 2016
622016
Immunohistochemical assessment of mitotic count in uveal melanoma
M Angi, B Damato, H Kalirai, A Dodson, A Taktak, SE Coupland
Acta ophthalmologica 89 (2), e155-e160, 2011
602011
Whole-genome microarray detects deletions and loss of heterozygosity of chromosome 3 occurring exclusively in metastasizing uveal melanoma
SL Lake, SE Coupland, AFG Taktak, BE Damato
Investigative ophthalmology & visual science 51 (10), 4884-4891, 2010
592010
Partial logistic artificial neural network for competing risks regularized with automatic relevance determination
PJG Lisboa, TA Etchells, IH Jarman, CTC Arsene, MSH Aung, A Eleuteri, ...
IEEE transactions on neural networks 20 (9), 1403-1416, 2009
522009
Prognostic biopsy of choroidal melanoma: an optimised surgical and laboratory approach
M Angi, H Kalirai, A Taktak, R Hussain, C Groenewald, BE Damato, ...
British Journal of Ophthalmology 101 (8), 1143-1146, 2017
492017
Prognostication of metastatic death in uveal melanoma patients: A Markov multi-state model
A Eleuteri, AFG Taktak, SE Coupland, H Heimann, H Kalirai, B Damato
Computers in biology and medicine 102, 151-156, 2018
472018
Modelling survival after treatment of intraocular melanoma using artificial neural networks and Bayes theorem
AFG Taktak, AC Fisher, BE Damato
Physics in Medicine & Biology 49 (1), 87, 2003
452003
Targeted next-generation sequencing of 117 routine clinical samples provides further insights into the molecular landscape of uveal melanoma
S Thornton, SE Coupland, L Olohan, JS Sibbring, JG Kenny, ...
Cancers 12 (4), 1039, 2020
432020
Conjunctival melanoma copy number alterations and correlation with mutation status, tumor features, and clinical outcome
N Kenawy, H Kalirai, JJ Sacco, SL Lake, S Heegaard, AC Larsen, ...
Pigment cell & melanoma research 32 (4), 564-575, 2019
432019
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