Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression. by Catto, J, Abbod, M, Linkens, D, Hamdy, F

Predictive modeling in cancer: where systems biology meets the stock market. by Abbod, M, Hamdy, F, Linkens, D, Catto, J

Comparative study of intelligent models for the prediction of bladder cancer progression. by Abbod, M, Linkens, D, Catto, J, Hamdy, F

Artificial intelligence for the prediction bladder cancer by Abbod, M, Catto, J, Chen, M, Linkens, D, Hamdy, F

Neurofuzzy modeling to determine recurrence risk following radical cystectomy for nonmetastatic urothelial carcinoma of the bladder. by Catto, J, Abbod, M, Linkens, D, Larré, S, Rosario, D, Hamdy, F

Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks. by Catto, J, Linkens, D, Abbod, M, Chen, M, Burton, J, Feeley, K, Hamdy, F

Development of a prognostic marker panel in bladder cancer using aberrant promoter methylation by Catto, J, Yates, D, Rehman, I, Meuth, M, Abbod, M, Linkens, D, Hamdy, F

Promoter hypermethylation identifies progression risk in bladder cancer. by Yates, DR, Rehman, I, Abbod, M, Meuth, M, Cross, S, Linkens, D, Hamdy, F, Catto, J

Improving gene array analysis: The application of artificial intelligence identifies novel biomarkers of non invasive papillary bladder cancer progression by Wild, P, Catto, J, Abbod, M, Linkens, D, Herr, A, Pilarsky, C, Wissmann, C, Hamdy, F, Hartmann, A

Artificial intelligence re-analysis of gene array data identifies novel markers of urothelial cancer progression by Catto, J, Abbod, M, Linkens, D, Wild, P, Herr, A, Pilarsky, C, Wissman, C, Hartmann, A, Hamdy, F

Artificial intelligence technique for gene expression profiling of urinary bladder cancer by Abbod, M, Catto, J, Linkens, D, Wild, P, Herr, A, Wissmann, C, Pilarsky, C, Hartmann, A, Hamdy, F

Artificial intelligence technique for gene expression profiling of urinary bladder cancer by Abbod, M, Catto, J, Linkens, D, Wild, P, Herr, A, Wissmann, C, Pilarsky, C, Hartmann, A, Hamdy, F, IEEE

Artificial intelligence and bladder cancer arrays. by Wild, P, Catto, J, Abbod, M, Linkens, D, Herr, A, Pilarsky, C, Wissmann, C, Stoehr, R, Denzinger, S, Knuechel, R, Hamdy, F, Hartmann, A

The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression. by Catto, J, Abbod, M, Wild, P, Linkens, D, Pilarsky, C, Rehman, I, Rosario, D, Denzinger, S, Burger, M, Stoehr, R, Knuechel, R, Hartmann, A, Hamdy, F

Suitability of PSA-detected localised prostate cancers for focal therapy: experience from the ProtecT study. by Catto, J, Robinson, M, Albertsen, P, Goepel, JR, Abbod, M, Linkens, D, Davis, M, Rosario, D, Warren, A, Varma, M, Griffiths, D, Grigor, K, Mayer, N, Oxley, J, Deshmukh, N, Lane, J, Metcalfe, C, Donovan, J, Neal, D, Hamdy, F

Suitability of PSA-detected localised prostate cancers for focal therapy: Experience from the ProtecT study by Catto, J, Robinson, M, Albertsen, P, Goepel, JR, Abbod, M, Linkens, D, Davis, M, Rosario, D, Warren, A, Varma, M, Griffiths, D, Grigor, K, Mayer, N, Oxley, J, Deshmukh, N, Lane, J, Metcalfe, C, Donovan, J, Neal, D, Hamdy, F