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

Neural networks, 2006-05, Vol.19 (4), p.408-415

2006

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Estimating prognosis for survival after treatment of choroidal melanoma

Progress in retinal and eye research, 2011-09, Vol.30 (5), p.285-295

2011

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

Cancers, 2023-05, Vol.15 (9), p.2610

2023

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

Computers in biology and medicine, 2018-11, Vol.102, p.151-156

2018

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Artificial Neural Networks Estimating Survival Probability after Treatment of Choroidal Melanoma

Ophthalmology (Rochester, Minn.), 2008-09, Vol.115 (9), p.1598-1607

2008

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

Investigative ophthalmology & visual science, 2011-07, Vol.52 (8), p.5598-5604

2011

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

Computers in biology and medicine, 2021-03, Vol.130, p.104221-104221, Article 104221

2021

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

Pigment cell and melanoma research, 2019-07, Vol.32 (4), p.564-575

2019

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

Investigative ophthalmology & visual science, 2010-10, Vol.51 (10), p.4898-4905

2010

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Small High-Risk Uveal Melanomas Have a Lower Mortality Rate

Cancers, 2021-05, Vol.13 (9), p.2267

2021

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

Cancers, 2022-04, Vol.14 (9), p.2187

2022

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Single Nucleotide Polymorphism Array Analysis of Uveal Melanomas Reveals That Amplification of CNKSR3 Is Correlated With Improved Patient Survival

The American journal of pathology, 2013-03, Vol.182 (3), p.678-687

2013

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

Investigative ophthalmology & visual science, 2010-10, Vol.51 (10), p.4884-4891

2010

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

Molecular vision, 2015-01, Vol.21, p.1-11

2015

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

Investigative ophthalmology & visual science, 2011-07, Vol.52 (8), p.5559-5564

2011

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

IEEE transaction on neural networks and learning systems, 2009-09, Vol.20 (9), p.1403-1416

2009

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Automated post hoc removal of power-line and CRT frame pulse contamination from retinal and cortical evoked potentials (EPs)

Documenta ophthalmologica, 2006-05, Vol.112 (3), p.169-175

2006

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

International journal of biomedical engineering and technology, 2012, Vol.8 (1), p.18

2012

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

Computers in biology and medicine, 2008-07, Vol.38 (7), p.785-791

2008

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

European archives of oto-rhino-laryngology, 2006-06, Vol.263 (6), p.541-547

2006

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

BioSystems, 2007, Vol.87 (1), p.31-48

2007

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Developing Prognostic Tools for Estimating Risk of Metastatic Death and Non-Metastatic Death in Individuals with Choroidal Melanoma

Global Perspectives in Ocular Oncology, 2022, p.217-224

2022

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

Physics in medicine & biology, 2004-01, Vol.49 (1), p.87-98

2004

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Support Vector Machines for Survival Regression

Computational Intelligence Methods for Bioinformatics and Biostatistics, 2012, p.176-189

2012

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Authors’ reply

The American journal of pathology, 2013-08, Vol.183 (2), p.638

2013

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

Estimating prognosis for survival after treatment of choroidal melanoma

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

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

Artificial Neural Networks Estimating Survival Probability after Treatment of Choroidal Melanoma

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

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

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

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

Small High-Risk Uveal Melanomas Have a Lower Mortality Rate

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

Single Nucleotide Polymorphism Array Analysis of Uveal Melanomas Reveals That Amplification of CNKSR3 Is Correlated With Improved Patient Survival

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

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

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

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

Automated post hoc removal of power-line and CRT frame pulse contamination from retinal and cortical evoked potentials (EPs)

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

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

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

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

Developing Prognostic Tools for Estimating Risk of Metastatic Death and Non-Metastatic Death in Individuals with Choroidal Melanoma

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

Support Vector Machines for Survival Regression

Authors’ reply

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