-
1
-
-
8444224448
-
Neural Computation in Medicine: Perspectives and Prospectives
-
H. Malgren, M Borga, L Niklasson, editors, Goteborg, 13-6 May 2000, Springer Verlag
-
R. Dybkowski, Neural Computation in Medicine: Perspectives and Prospectives. In H. Malgren, M Borga, L Niklasson, editors, proceedings of the ANNIMAB-1 Conference (Artificial Neural Networks in Medicine and Biology), Goteborg, 13-6 May 2000, Springer Verlag, pp. 26-36, 2000.
-
(2000)
Proceedings of the ANNIMAB-1 Conference (Artificial Neural Networks In Medicine and Biology)
, pp. 26-36
-
-
Dybkowski, R.1
-
2
-
-
0036127092
-
A review of evidence of health benefit from artificial neural networks in medical intervention
-
P. J. G. Lisboa, A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Networks, 15 (1): 9-37, 2002.
-
(2002)
Neural Networks
, vol.15
, Issue.1
, pp. 9-37
-
-
Lisboa, P.J.G.1
-
3
-
-
0028788276
-
Application of artificial neural networks to clinical medicine
-
W. G. Baxt, Application of artificial neural networks to clinical medicine. Lancet, 346:1135-38, 1995.
-
(1995)
Lancet
, vol.346
, pp. 1135-1138
-
-
Baxt, W.G.1
-
4
-
-
0030756045
-
Artificial neural networks in cancer research
-
R. N. Naguib and G. V. Sherb et al. Artificial neural networks in cancer research. Pathobiology, 65(3):129-139, 1997
-
(1997)
Pathobiology
, vol.65
, Issue.3
, pp. 129-139
-
-
Naguib, R.N.1
Sherb, G.V.2
-
5
-
-
0031921607
-
Feed forward neural networks for the analysis of censored survival data: A partial logistic regression approach
-
E. Biganzoli, P. Boracchi, L. Mariani, et al. Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach. Stat Med, 17:1169-86, 1998.
-
(1998)
Stat Med
, vol.17
, pp. 1169-1186
-
-
Biganzoli, E.1
Boracchi, P.2
Mariani, L.3
-
6
-
-
0000478224
-
Exploiting Prior Knowledge In Network Optimization: An Illustration From Medical Prognosis
-
D. Lowe and A. R. Webb, Exploiting prior knowledge in network optimization: an illustration from medical prognosis. Network,1:299-323, 1990.
-
(1990)
Network
, vol.1
, pp. 299-323
-
-
Lowe, D.1
Webb, A.R.2
-
7
-
-
0343090468
-
Bias reduction in skewed binary classification with Bayesian neural networks
-
P. J. G. Lisboa, A Vellido and H. Wong, Bias reduction in skewed binary classification with Bayesian neural networks, Neural Networks, 13:407-410, 2000.
-
(2000)
Neural Networks
, vol.13
, pp. 407-410
-
-
Lisboa, P.J.G.1
Vellido, A.2
Wong, H.3
-
9
-
-
0038162240
-
A Bayesian neural network approach for modeling censored data with an application to prognosis after surgery for breast cancer
-
P. J. G. Lisboa, H. Wong, P. Harris, R. Swindell, A Bayesian neural network approach for modeling censored data with an application to prognosis after surgery for breast cancer. Artificial Intelligence in Medicine, 28:1-25, 2003.
-
(2003)
Artificial Intelligence In Medicine
, vol.28
, pp. 1-25
-
-
Lisboa, P.J.G.1
Wong, H.2
Harris, P.3
Swindell, R.4
-
10
-
-
0011827330
-
Neural networks as statistical methods in survival analysis
-
R. Dybowski and V. Gant, Editors, Landes Biosciences Publishers
-
B. D. Ripley and R. M. Ripley, Neural networks as statistical methods in survival analysis. In R. Dybowski and V. Gant, editors, Artificial Neural Networks: Prospects for Medicine, Landes Biosciences Publishers, 1998.
-
(1998)
Artificial Neural Networks: Prospects For Medicine
-
-
Ripley, B.D.1
Ripley, R.M.2
-
11
-
-
0027205884
-
A Scaled conjugate gradient algorithm for fast supervised learning
-
M. Mφller
-
M. Mφller, A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks, 6(4):525-33, 1993.
-
(1993)
Neural Networks
, vol.6
, Issue.4
, pp. 525-533
-
-
Mφller, A.1
-
12
-
-
84886995274
-
On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology
-
University of Freiburg
-
G. Schwarzer, W. Vach, W. M. Schumacher, On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Tech. rep., Center for Data Analysis and Model Building, University of Freiburg, 1997.
-
(1997)
Tech. Rep., Center For Data Analysis and Model Building
-
-
Schwarzer, G.1
Vach, W.2
Schumacher, W.M.3
-
13
-
-
0030211964
-
Bagging Predictors
-
L. Breiman, Bagging Predictors, Machine Learning, 24:123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
14
-
-
84972539015
-
Neural networks: A review from a statistical perspective
-
B. Cheng and D. M. Titterington, Neural networks: A review from a statistical perspective. Statistical Science, 9:2-54, 1994.
-
(1994)
Statistical Science
, vol.9
, pp. 2-54
-
-
Cheng, B.1
Titterington, D.M.2
-
16
-
-
84898947879
-
Practical confidence and prediction intervals
-
in M. Mozer, M. Jordan & T. Petch, eds, 9, MIT Press, Cambridge, MA
-
G. E. Heskes, Practical confidence and prediction intervals, in M. Mozer, M. Jordan & T. Petch, eds, Advances in Neural Information Processing Systems, 9, MIT Press, Cambridge, MA, pp. 176-182, 1997.
-
(1997)
Advances In Neural Information Processing Systems
, pp. 176-182
-
-
Heskes, G.E.1
-
18
-
-
8644262601
-
Confidence intervals and prediction intervals for feed-forward neural networks
-
In R. Dybowski, V. Gant editors, Cambridge: Cambridge University Press
-
R. Dybowski, S. Roberts, Confidence intervals and prediction intervals for feed-forward neural networks. In R. Dybowski, V. Gant editors, Clinical Applications of Artificial Neural Networks. Cambridge: Cambridge University Press, pp. 298-326, 2001.
-
(2001)
Clinical Applications of Artificial Neural Networks
, pp. 298-326
-
-
Dybowski, R.1
Roberts, S.2
-
19
-
-
0035505634
-
Confidence estimation methods for neural networks: A practical comparison
-
G. Papadopoulos, P. J. Edwards, A. F. Murray, Confidence estimation methods for neural networks: a practical comparison, IEEE transactions on neural networks, 12(6):1278-87, 2001.
-
(2001)
IEEE Transactions On Neural Networks
, vol.12
, Issue.6
, pp. 1278-1287
-
-
Papadopoulos, G.1
Edwards, P.J.2
Murray, A.F.3
|