A. Taktak

发表

EVALUATION OF PROGNOSTIC MODELS : DISCRIMINATION AND CALIBRATION PERFORMANCE

A. Eleuteri, A. Eleuteri, A. Taktak, 2007 .

Multicenter External Validation of the Liverpool Uveal Melanoma Prognosticator Online: An OOG Collaborative Study

N. Bornfeld, A. Eleuteri, S. Viaggi, 2020, Cancers.

Targeted Next-Generation Sequencing of 117 Routine Clinical Samples Provides Further Insights into the Molecular Landscape of Uveal Melanoma

John G Kenny, C. Hertz-Fowler, J. Kenny, 2020, Cancers.

Uveal Melanoma: Prognostication Methods

A. Eleuteri, B. Damato, A. Taktak, 2019, Clinical Ophthalmic Oncology.

Cluster analysis of multiplex ligation-dependent probe amplification data in choroidal melanoma

A. Eleuteri, H. Heimann, B. Damato, 2015, Molecular vision.

BAYESIAN NEURAL NETWORKS FOR SURVIVAL ANALYSIS : A COMPARATIVE STUDY

P. Lisboa, A. Eleuteri, B. Damato, 2007 .

Modelling survival after treatment of intraocular melanoma using artificial neural networks and Bayes theorem.

Anthony C Fisher, B. Damato, A. Taktak, 2004, Physics in medicine and biology.

Chemoresistance in Pancreatic Cancer Is Driven by Stroma-Derived Insulin-Like Growth Factors.

D. Tuveson, P. A. Pérez-Mancera, A. Taktak, 2016, Cancer research.

Immunohistochemical analysis indicates that the anatomical location of B-cell non-Hodgkin’s lymphoma is determined by differentially expressed chemokine receptors, sphingosine-1-phosphate receptors and integrins

A. Pettitt, J. Slupsky, A. Taktak, 2015, Experimental Hematology & Oncology.

THE USE OF ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS IN CLINICAL DIAGNOSIS : A SYSTEMATIC REVIEW

A. Taktak, 2006 .

Multiplex ligation-dependent probe amplification analysis of uveal melanoma with extraocular extension demonstrates heterogeneity of gross chromosomal abnormalities.

B. Damato, A. Taktak, S. Coupland, 2011, Investigative ophthalmology & visual science.

Whole-genome microarray detects deletions and loss of heterozygosity of chromosome 3 occurring exclusively in metastasizing uveal melanoma.

B. Damato, A. Taktak, S. Coupland, 2010, Investigative ophthalmology & visual science.

External Validation of a Bayesian Neural Network Model in Survival Analysis

P. Lisboa, L. Desjardins, A. Eleuteri, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Multiplex ligation-dependent probe amplification of conjunctival melanoma reveals common BRAF V600E gene mutation and gene copy number changes.

B. Damato, A. Taktak, S. Coupland, 2011, Investigative ophthalmology & visual science.

Stroma-derived Insulin-like growth factors enhance chemoresistance in pancreatic cancer

A. Taktak, F. Campbell, S. Coupland, 2016 .

Enhancing survival prognostication in patients with choroidal melanoma by integrating pathologic, clinical and genetic predictors of metastasis

A. Eleuteri, B. Damato, A. Taktak, 2012 .

Health technology assessment and issues in health economics

A. Taktak, Siddhartha Bandyopadhyay, 2020 .

Modelling survival after treatment of intraocular melanoma using artificial neural networks and Bayes theorem.

B. Damato, A. Taktak, A. Fisher, 2004, Physics in medicine and biology.

Survival after Treatment of Intraocular Melanoma

B. Damato, A. Taktak, 2007 .

Mantle cell lymphoma treatment options for elderly/unfit patients: A systematic review

A. Taktak, K. Till, Tahera Alnassfan, 2021, EJHaem.

A Retrospective Analysis of 10 Years of Liver Surveillance Undertaken in Uveal Melanoma Patients Treated at the Supraregional “Liverpool Ocular Oncology Centre”, UK

Alda Cunha Rola, A. Eleuteri, H. Heimann, 2022, Cancers.

Variations in the anatomy of the vertebral artery cervical loop segment - a potential predisposing factor for traumatic basal subarachnoid hemorrhage?

S. Grabherr, A. Taktak, Jonathan E Medcalf, 2016, Forensic Science, Medicine, and Pathology.

Uveal Melanoma Mortality

B. Damato, A. Taktak, 2014 .

CHAPTER 47 – Uveal malignant melanoma: mortality

B. Damato, A. Taktak, 2007 .

On the use of multi-objective evolutionary algorithms for survival analysis

Bertil E. Damato, Christian Setzkorn, Azzam Fouad George Taktak, 2007, Biosyst..

Conditional Hazard Estimating Neural Networks

Bertil E. Damato, Antonio Eleuteri, Angela Douglas, 2009, Encyclopedia of Artificial Intelligence.

Estimating prognosis for survival after treatment of choroidal melanoma

A. Eleuteri, B. Damato, A. Taktak, 2011, Progress in Retinal and Eye Research.

Conjunctival melanoma copy number alterations and correlation with mutation status, tumor features, and clinical outcome

H. Heimann, B. Damato, A. Taktak, 2019, Pigment cell & melanoma research.

Immunohistochemical assessment of mitotic count in uveal melanoma

B. Damato, A. Taktak, M. Angi, 2011, Acta ophthalmologica.

Patterns of BAP1 protein expression provide insights into prognostic significance and the biology of uveal melanoma

J. Coulson, H. Heimann, A. Taktak, 2017, The journal of pathology. Clinical research.

Prognostication in Choroidal Melanoma

A. Eleuteri, B. Damato, A. Taktak, 2014 .

Genetic heterogeneity in uveal melanoma assessed by multiplex ligation-dependent probe amplification.

B. Damato, A. Taktak, S. Coupland, 2010, Investigative ophthalmology & visual science.

MORTALITY OF PATIENTS WITH UVEAL MELANOMA DETECTED BY DIABETIC RETINOPATHY SCREENING.

H. Heimann, R. Hussain, B. Damato, 2020, Retina.

Single nucleotide polymorphism array analysis of uveal melanomas reveals that amplification of CNKSR3 is correlated with improved patient survival.

B. Damato, A. Taktak, S. Coupland, 2013, The American journal of pathology.

Artificial neural networks estimating survival probability after treatment of choroidal melanoma.

Antonio Eleuteri, Bertil Damato, Anthony C Fisher, 2008, Ophthalmology.

Prognostic biopsy of choroidal melanoma: an optimised surgical and laboratory approach

H. Heimann, R. Hussain, B. Damato, 2017, British Journal of Ophthalmology.

Survival analysis in cancer using a partial logistic neural network model with Bayesian regularisation framework: a validation study

Paulo J. G. Lisboa, M. S. Hane Aung, Bertil E. Damato, 2009, Int. J. Knowl. Eng. Soft Data Paradigms.

Continuous and Discrete Time Survival Analysis: Neural Network Approaches

P.J.G. Lisboa, A. Eleuteri, M.S.H. Aung, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Double-blind evaluation and benchmarking of survival models in a multi-centre study

Paulo J. G. Lisboa, M. S. Hane Aung, Patrizia Boracchi, 2007, Comput. Biol. Medicine.

An artificial neural network improves prediction of observed survival in patients with laryngeal squamous carcinoma

Anthony C. Fisher, Martin A. Birchall, T. Helliwell, 2006, European Archives of Oto-Rhino-Laryngology and Head & Neck.

The Use of Artificial Neural Networks in Decision Support in Cancer: a Systematic Review

Paulo J. G. Lisboa, Azzam Fouad George Taktak, P. Lisboa, 2005 .

Support Vector Machines for Survival Regression

Antonio Eleuteri, Azzam Fouad George Taktak, A. Eleuteri, 2011, CIBB.

HSP‐27 protein expression in uveal melanoma: correlation with predicted survival

B. Damato, A. Taktak, S. Coupland, 2012, Acta ophthalmologica.

The role and efficacy of non-linear models in decision making and prognostication

B. Damato, A. Taktak, A. Fisher, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Effects of plaque brachytherapy and proton beam radiotherapy on prognostic testing: a comparison of uveal melanoma genotyped by microsatellite analysis

A. Eleuteri, H. Heimann, R. Hussain, 2020, British Journal of Ophthalmology.

Uveal Melanoma: Mortality

B. Damato, A. Taktak, 2019, Clinical Ophthalmic Oncology.

Chapter 2 – Research Methodology

Azzam Taktak, A. Taktak, 2014 .

Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network-based fuzzy inference system

David Roden, Suliman Yousef Belal, Andrew John Nevill, 2002, Artif. Intell. Medicine.

Parsimonious Models for Predicting Mortality from Choroidal Melanoma

A. Eleuteri, H. Heimann, R. Hussain, 2020, Investigative ophthalmology & visual science.

A web-based tool for the assessment of discrimination and calibration properties of prognostic models

Antonio Eleuteri, Anthony C. Fisher, Stephen P. Lake, 2008, Comput. Biol. Medicine.

Prognostication of metastatic death in uveal melanoma patients: A Markov multi-state model

Bertil E. Damato, Antonio Eleuteri, Azzam Fouad George Taktak, 2018, Comput. Biol. Medicine.

Vascular Lakes in Uveal Melanoma and Their Association With Outcome

A. Taktak, S. Coupland, H. Kalirai, 2022, Translational vision science & technology.

Small High-Risk Uveal Melanomas Have a Lower Mortality Rate

A. Eleuteri, H. Heimann, R. Hussain, 2021, Cancers.

External Validation of the Liverpool Uveal Melanoma Prognosticator Online.

Wayne T. A. Enanoria, A. Eleuteri, H. Heimann, 2016, Investigative ophthalmology & visual science.

Chemoresistance in Pancreatic Cancer Is Driven by Stroma-Derived Insulin-Like Growth Factors.

D. Tuveson, P. A. Pérez-Mancera, A. Taktak, 2016, Cancer research.

Geoconda: A Web Environment for Multi-Centre Research

Azzam Taktak, Christian Setzkorn, Bertil Damato, 2007 .

The use of artificial neural networks in decision support in cancer: A systematic review

P. Lisboa, A. Taktak, 2006, Neural Networks.

Research methodology

A. Taktak, 2020, Clinical Engineering.

Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination

Paulo J. G. Lisboa, Elia Biganzoli, Corneliu T. C. Arsene, 2009, IEEE Transactions on Neural Networks.

Assessing flexible models and rule extraction from censored survival data

Paulo J. G. Lisboa, Elia Biganzoli, M. S. Hane Aung, 2007, 2007 International Joint Conference on Neural Networks.

Neural network analysis of oxygenation signals in infants during sleep

A F Taktak, S Simpson, S Patel, 2000, Physiological measurement.

Double-Blind Comparison of Survival Analysis Models Using a Bespoke Web System

A.F.G. Taktak, C. Setzkorn, B.E. Damato, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

A fuzzy system for detecting distorted plethysmogram pulses in neonates and paediatric patients.

S A Spencer, A F Taktak, A. Taktak, 2001, Physiological measurement.

Cost-utility analysis of a decade of liver screening for metastases using the Liverpool Uveal Melanoma Prognosticator Online (LUMPO)

Bertil E. Damato, Antonio Eleuteri, Azzam Fouad George Taktak, 2021, Comput. Biol. Medicine.

Sensitivity and Specificity of Different Prognostic Systems in Guiding Surveillance for Metastases in Uveal Melanoma

A. Eleuteri, H. Heimann, B. Damato, 2023, Cancers.

The Authors Reply

B. Damato, A. Taktak, S. Coupland, 2006, The American journal of pathology.