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The Journal of Urology|November 1, 1994
Artificial neural networks in the diagnosis and prognosis of prostate cancer: a pilot studyP B Snow, D S Smith, W J CatalonaMolecular Urology|January 16, 2002
Neural network analysis of the prediction of cancer recurrence following debulking laparotomy and chemotherapy in stages III and IV ovarian cancerP B Snow, J M Brandt, R L WilliamsJournal of the American College of Cardiology|August 1, 1996
Artificial neural networks: current status in cardiovascular medicineD Itchhaporia, P B Snow, R J Almassy, et al.Cancer|April 20, 2001
Evaluation of artificial neural networks for the prediction of pathologic stage in prostate carcinomaM Han, P B Snow, J M Brandt, et al.Cancer|April 20, 2001
Neural network and regression predictions of 5-year survival after colon carcinoma treatmentP B Snow, D J Kerr, J M Brandt, et al.Cancer|April 20, 2001
The problem of cutoff levels in a screened population: appropriateness of informing screenees about their risk of having prostate carcinomaW Horninger, G Bartsch, P B Snow, et al.The Prostate|January 5, 2000
Evaluation of prostate cancer patients receiving multiple staging tests, including ProstaScint scintiscansG P Murphy, P B Snow, J Brandt, et al.The Journal of Urology|May 1, 1995
Neural network analysis of quantitative histological factors to predict pathological stage in clinical stage I nonseminomatous testicular cancerJ W Moul, P B Snow, E B Fernandez, et al.The Prostate|February 15, 2001
Introduction to artificial neural networks for physicians: taking the lid off the black boxD M Rodvold, D G McLeod, J M Brandt, et al.Prostate Cancer and Prostatic Diseases|December 24, 2002
Artificial neural networks in urology: Update 2000T Reckwitz, S R Potter, P B Snow, et al.Pageof 2