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Results: 1-14 |
Results: 14
Neural network prediction of prostate tissue composition based on magneticresonance imaging analysis: A pilot study (vol 22, pg 445, 2000)
Authors: Simon, I Snow, PB Marks, LS Christens-Barry, WA Epstein, JI Bluemke, DA
Citation: I. Simon et al., Neural network prediction of prostate tissue composition based on magneticresonance imaging analysis: A pilot study (vol 22, pg 445, 2000), ANAL QUAN C, 23(2), 2001, pp. 150-150
Introduction to artificial neural networks for physicians: Taking the lid off the black box
Authors: Rodvold, DM McLeod, DG Brandt, JM Snow, PB Murphy, GP
Citation: Dm. Rodvold et al., Introduction to artificial neural networks for physicians: Taking the lid off the black box, PROSTATE, 46(1), 2001, pp. 39-44
Impact of different variables on the outcome of patients with clinically confined prostate carcinoma - Prediction of pathologic stage and biochemicalfailure using an artificial neural network
Authors: Ziada, AM Lisle, TC Snow, PB Levine, RF Miller, G Crawford, ED
Citation: Am. Ziada et al., Impact of different variables on the outcome of patients with clinically confined prostate carcinoma - Prediction of pathologic stage and biochemicalfailure using an artificial neural network, CANCER, 91(8), 2001, pp. 1653-1660
Evaluation of artificial neural networks for the prediction of pathologic stage in prostate carcinoma
Authors: Han, M Snow, PB Brandt, JM Partin, AW
Citation: M. Han et al., Evaluation of artificial neural networks for the prediction of pathologic stage in prostate carcinoma, CANCER, 91(8), 2001, pp. 1661-1666
The problem of cutoff levels in a screened population - Appropriateness ofinforming screenees about their risk of having prostate carcinoma
Authors: Horninger, W Bartsch, G Snow, PB Brandt, JM Partin, AW
Citation: W. Horninger et al., The problem of cutoff levels in a screened population - Appropriateness ofinforming screenees about their risk of having prostate carcinoma, CANCER, 91(8), 2001, pp. 1667-1672
Neural network and regression predictions of 5-year survival after colon carcinoma treatment
Authors: Snow, PB Kerr, DJ Brandt, JM Rodvold, DM
Citation: Pb. Snow et al., Neural network and regression predictions of 5-year survival after colon carcinoma treatment, CANCER, 91(8), 2001, pp. 1673-1678
Artificial neural networks: A new model for assessing prognostic factors
Authors: Grumett, SA Snow, PB
Citation: Sa. Grumett et Pb. Snow, Artificial neural networks: A new model for assessing prognostic factors, ANN ONCOL, 11(4), 2000, pp. 383-384
Neural network prediction of prostate tissue composition eased on magneticresonance imaging analysis - A pilot study
Authors: Simon, I Snow, PB Marks, LS Christens-Barry, WA Epstein, JI Bluemke, DA Partin, AW
Citation: I. Simon et al., Neural network prediction of prostate tissue composition eased on magneticresonance imaging analysis - A pilot study, ANAL QUAN C, 22(6), 2000, pp. 445-452
Evaluation of prostate cancer patients receiving multiple staging tests, including ProstaScint (R) scintiscans
Authors: Murphy, GP Snow, PB Brandt, J Elgamal, A Brawer, MK
Citation: Gp. Murphy et al., Evaluation of prostate cancer patients receiving multiple staging tests, including ProstaScint (R) scintiscans, PROSTATE, 42(2), 2000, pp. 145-149
A neural network predicts progression for men with Gleason score 3+4 versus 4+3 tumors after radical prostatectomy
Authors: Han, M Snow, PB Epstein, JI Chan, TY Jones, KA Walsh, PC Partin, AW
Citation: M. Han et al., A neural network predicts progression for men with Gleason score 3+4 versus 4+3 tumors after radical prostatectomy, UROLOGY, 56(6), 2000, pp. 994-999
Artificial neural networks in urology: Update 2000
Authors: Reckwitz, T Potter, SR Snow, PB Zhang, Z Veltri, RW Partin, AW
Citation: T. Reckwitz et al., Artificial neural networks in urology: Update 2000, PROSTATE C, 2(5-6), 1999, pp. 222-226
Artificial neural networks in clinical urology
Authors: Snow, PB Rodvold, DM Brandt, JM
Citation: Pb. Snow et al., Artificial neural networks in clinical urology, UROLOGY, 54(5), 1999, pp. 787-790
Artificial neural networks applied to the diagnosis and prognosis of prostate cancer
Authors: Snow, PB Brandt, JM
Citation: Pb. Snow et Jm. Brandt, Artificial neural networks applied to the diagnosis and prognosis of prostate cancer, MOL UROL, 2(3), 1998, pp. 239-244
Artificial neural networks applied to the diagnosis and prognosis of prostate cancer - Open discussion
Authors: Garnick, MB Snow, PB Trachtenberg, J Howell, S Bostwick, D
Citation: Mb. Garnick et al., Artificial neural networks applied to the diagnosis and prognosis of prostate cancer - Open discussion, MOL UROL, 2(3), 1998, pp. 245-245
Risultati: 1-14 |