-
1
-
-
0035871371
-
Artificial neural networks opening the black box
-
J. Dayhoff and J. DeLeo, "Artificial neural networks opening the black box," Cancer Supplement, vol. 91, No. 8, pp. 1615-1635, 2001.
-
(2001)
Cancer Supplement
, vol.91
, Issue.8
, pp. 1615-1635
-
-
Dayhoff, J.1
DeLeo, J.2
-
3
-
-
0031990532
-
Constrained learning in neural networks: Application to stable factorization of 2-D polynomials
-
S. J. Perantonis, N. Ampazis, S. Varoufakis, and G. Antoniou, "Constrained learning in neural networks: Application to stable factorization of 2-D polynomials," Neural Processing Lett., vol. 7, pp. 5-14, 1998.
-
(1998)
Neural Processing Lett
, vol.7
, pp. 5-14
-
-
Perantonis, S.J.1
Ampazis, N.2
Varoufakis, S.3
Antoniou, G.4
-
4
-
-
0032712063
-
Linear and nonlinear feedforward neural network classifiers: A comprehensive understanding
-
D. S. Huang and S. D. Ma, "Linear and nonlinear feedforward neural network classifiers: A comprehensive understanding," J. Intelligent Syst., vol. 9, pp. 1-38, 1999.
-
(1999)
J. Intelligent Syst
, vol.9
, pp. 1-38
-
-
Huang, D.S.1
Ma, S.D.2
-
5
-
-
0028788276
-
Application of artificial neural networks to clinical medicine
-
W. G. Baxt, "Application of artificial neural networks to clinical medicine," Lancet, vol. 346, no. 113, pp. 5-8, 1995.
-
(1995)
Lancet
, vol.346
, Issue.113
, pp. 5-8
-
-
Baxt, W.G.1
-
6
-
-
39049192161
-
Applying an artificial neural network to predict osteoporosis in the elderly
-
J. S. Chiu, Y. C. Li, F. C. Yu, and Y. F. Wang, "Applying an artificial neural network to predict osteoporosis in the elderly," Studies in Health Technology and Informatics, vol. 124, pp. 609-614, 2006.
-
(2006)
Studies in Health Technology and Informatics
, vol.124
, pp. 609-614
-
-
Chiu, J.S.1
Li, Y.C.2
Yu, F.C.3
Wang, Y.F.4
-
7
-
-
49949097778
-
-
G. Lemineur, R. Harba, N. Kilic, O. N. Ucan, O. Osman, and L. Benhamou, Efficient estimation of osteoporosis using artificial neural networks, In 33rd Annual Conf. IEEE Industrial Electronics Society (IECON), Taipei, Taiwan 5-8, 2007, pp. 3039-3044.
-
G. Lemineur, R. Harba, N. Kilic, O. N. Ucan, O. Osman, and L. Benhamou, "Efficient estimation of osteoporosis using artificial neural networks," In 33rd Annual Conf. IEEE Industrial Electronics Society (IECON), Taipei, Taiwan 5-8, 2007, pp. 3039-3044.
-
-
-
-
8
-
-
0032075752
-
Artificial neural networks for automatic ECG analysis
-
R. Silipo and C. Marchesi, "Artificial neural networks for automatic ECG analysis", IEEE Trans. Signal Processing, vol. 46, pp. 1417-1425, 1998.
-
(1998)
IEEE Trans. Signal Processing
, vol.46
, pp. 1417-1425
-
-
Silipo, R.1
Marchesi, C.2
-
9
-
-
0347724097
-
Modelling survival after treatment of intraocular melanoma using artificial neural networks and Bayes theorem
-
A. Taktak, A. Fisher, and B. Damato, "Modelling survival after treatment of intraocular melanoma using artificial neural networks and Bayes theorem,"Phys. Med. Biol., vol. 49, pp. 87-98, 2004.
-
(2004)
Phys. Med. Biol
, vol.49
, pp. 87-98
-
-
Taktak, A.1
Fisher, A.2
Damato, B.3
-
10
-
-
0032148763
-
An investigation of neural networks in thyroid function diagnosis
-
G. Zhang and V. Berardi, "An investigation of neural networks in thyroid function diagnosis," Health Care Management Science, vol. 1, pp. 29-37, 1998.
-
(1998)
Health Care Management Science
, vol.1
, pp. 29-37
-
-
Zhang, G.1
Berardi, V.2
-
11
-
-
67549126892
-
Images compression for medical diagnosis using neural networks
-
L. Lanzarini, M. V. Camacho, A. Badran, and I. D. G. Armando, "Images compression for medical diagnosis using neural networks," J. Computer Science and Technology, Vol.2, No. 1, 1999, pp. 78-80.
-
(1999)
J. Computer Science and Technology
, vol.2
, Issue.1
, pp. 78-80
-
-
Lanzarini, L.1
Camacho, M.V.2
Badran, A.3
Armando, I.D.G.4
-
12
-
-
24344485685
-
Intelligent prediction of vesicoureteral reflux disease
-
D. H. Mantzaris, G. C. Anastassopoulos, A. D. Tsalkidis, and A. V. Adamopoulos, "Intelligent prediction of vesicoureteral reflux disease," WSEAS Trans. Systems, Issue 9, vol. 4, pp. 1440-1449, 2005
-
(2005)
WSEAS Trans. Systems
, vol.4
, Issue.9
, pp. 1440-1449
-
-
Mantzaris, D.H.1
Anastassopoulos, G.C.2
Tsalkidis, A.D.3
Adamopoulos, A.V.4
-
13
-
-
8344289104
-
Urinary bladder tumor grade diagnosis using on-line trained neural networks
-
Heidelberg
-
D. Tasoulis, P. Spyridonos, N. Pavlidis, D. Cavouras, P. Ravazoula, G. Nikiforidis, et all, "Urinary bladder tumor grade diagnosis using on-line trained neural networks," in Proc. Knowledge Based Intelligent Information Eng. Systems Conf., Heidelberg, 2003, pp. 199-206.
-
(2003)
Proc. Knowledge Based Intelligent Information Eng. Systems Conf
, pp. 199-206
-
-
Tasoulis, D.1
Spyridonos, P.2
Pavlidis, N.3
Cavouras, D.4
Ravazoula, P.5
Nikiforidis, G.6
et all7
-
14
-
-
2942592790
-
Prediction of upper urinary tract calculi using an artificial neural network
-
M. Tanthanuch and S. Tanthanuch, "Prediction of upper urinary tract calculi using an artificial neural network," J. Medical Association of Thailand, vol. 87, No. 5, pp. 515-518, 2004.
-
(2004)
J. Medical Association of Thailand
, vol.87
, Issue.5
, pp. 515-518
-
-
Tanthanuch, M.1
Tanthanuch, S.2
-
15
-
-
0043071489
-
Urinary nucleosides as potential tumor markers evaluated by learning vector quantization
-
F. Dieterlea, S. Muller-Hagedorn, H. Liebich, and G. Gauglitza, "Urinary nucleosides as potential tumor markers evaluated by learning vector quantization," Artificial Intelligence in Medicine, vol. 28, issue 3, pp. 265-279, 2003.
-
(2003)
Artificial Intelligence in Medicine
, vol.28
, Issue.3
, pp. 265-279
-
-
Dieterlea, F.1
Muller-Hagedorn, S.2
Liebich, H.3
Gauglitza, G.4
-
16
-
-
0032859274
-
A neural network to predict symptomatic lung injury
-
M. Munley, J. Lo, G. Sibley, G. Bentel, M. Anscher, and L. Marks, "A neural network to predict symptomatic lung injury," J. Physics in Medicine and Biology, vol. 44, pp. 2241-2249, 1999.
-
(1999)
J. Physics in Medicine and Biology
, vol.44
, pp. 2241-2249
-
-
Munley, M.1
Lo, J.2
Sibley, G.3
Bentel, G.4
Anscher, M.5
Marks, L.6
-
17
-
-
67549148092
-
Selective clinical estimation of childhood abdominal pain based on pruned artificial neural networks
-
Athens
-
D. Mantzaris, G. Anastassopoulos, A. Adamopouos, I. Stephanakis, K. Kambouri, and S. Gardikis, "Selective clinical estimation of childhood abdominal pain based on pruned artificial neural networks," in Proc. 3rd WSEAS Int. Conf. on Cellular and Molecular Biology, Biophysics and Bioengineering, Athens, 2007, pp. 50-55.
-
(2007)
Proc. 3rd WSEAS Int. Conf. on Cellular and Molecular Biology, Biophysics and Bioengineering
, pp. 50-55
-
-
Mantzaris, D.1
Anastassopoulos, G.2
Adamopouos, A.3
Stephanakis, I.4
Kambouri, K.5
Gardikis, S.6
-
18
-
-
67549110524
-
Abdominal pain estimation in childhood based on artificial neural network classification
-
Thessaloniki
-
D. Mantzaris, G. Anastassopoulos, A. Adamopouos, I. Stephanakis, K. Kambouri, and S. Gardikis, "Abdominal pain estimation in childhood based on artificial neural network classification," in Proc. the 10th Int. Conf. on Engineering Applications of Neural Networks, Thessaloniki, 2007, pp. 129-134.
-
(2007)
Proc. the 10th Int. Conf. on Engineering Applications of Neural Networks
, pp. 129-134
-
-
Mantzaris, D.1
Anastassopoulos, G.2
Adamopouos, A.3
Stephanakis, I.4
Kambouri, K.5
Gardikis, S.6
-
19
-
-
0031772117
-
Application of neural networks in medicine - a review
-
K. Papik, B. Molnar, R. Schaefer, Z. Dombovari, Z. Tulassay, and J. Feher, "Application of neural networks in medicine - a review," Medical Scince Monitor, vol. 4, no. 3, pp.538-546, 1998.
-
(1998)
Medical Scince Monitor
, vol.4
, Issue.3
, pp. 538-546
-
-
Papik, K.1
Molnar, B.2
Schaefer, R.3
Dombovari, Z.4
Tulassay, Z.5
Feher, J.6
-
20
-
-
0032730109
-
Artificial neural networks applied to survival prediction in breast cancer
-
M. Lundina, J. Lundina H. Burked, S. Toikkanenb, L. Pylkkanenc, and H. Joensuua, "Artificial neural networks applied to survival prediction in breast cancer," Oncology, vol.57 no.4 pp.281-286, 1999.
-
(1999)
Oncology
, vol.57
, Issue.4
, pp. 281-286
-
-
Lundina, M.1
Lundina, J.2
Burked, H.3
Toikkanenb, S.4
Pylkkanenc, L.5
Joensuua, H.6
-
21
-
-
0142209269
-
Artificial neural network analysis: A novel application for predicting site-specific bone mineral density
-
E. I. Mohamed, C. Maiolo, R. Linder, S. J. Poppl, and A. De Lorenzo, "Artificial neural network analysis: a novel application for predicting site-specific bone mineral density," Acta Diabetologica, vol. 40, pp. 19-22, 2003.
-
(2003)
Acta Diabetologica
, vol.40
, pp. 19-22
-
-
Mohamed, E.I.1
Maiolo, C.2
Linder, R.3
Poppl, S.J.4
De Lorenzo, A.5
-
22
-
-
0032745223
-
Review artificial neural networks in laboratory medicine and medical outcome prediction
-
E. Tafeit and G. Reibnegger, "Review artificial neural networks in laboratory medicine and medical outcome prediction," Clin. Chem. Lab. Med., vol. 37, no. 9, pp. 845-853, 1999.
-
(1999)
Clin. Chem. Lab. Med
, vol.37
, Issue.9
, pp. 845-853
-
-
Tafeit, E.1
Reibnegger, G.2
-
23
-
-
0036881108
-
The intelligent model of a patient using artificial neural networks for inhalational anaesthesia
-
J. Shieh, S. Fan, and W. Shi, "The intelligent model of a patient using artificial neural networks for inhalational anaesthesia," J. Chinese Institute of Chemical Engineers, vol. 33, no. 6, pp. 609-620,2002.
-
(2002)
J. Chinese Institute of Chemical Engineers
, vol.33
, Issue.6
, pp. 609-620
-
-
Shieh, J.1
Fan, S.2
Shi, W.3
-
24
-
-
0028041135
-
Neural networks at the crossroads: Caution ahead
-
J. W. Gurney, "Neural networks at the crossroads: caution ahead," J. Radiology, vol. 193, no. 1, pp. 27-28, 1994.
-
(1994)
J. Radiology
, vol.193
, Issue.1
, pp. 27-28
-
-
Gurney, J.W.1
-
25
-
-
0029635662
-
Nervous about neural networks
-
J. Wyatt, "Nervous about neural networks," Lancet, vol. 346, pp. 1175-1176, 1995.
-
(1995)
Lancet
, vol.346
, pp. 1175-1176
-
-
Wyatt, J.1
-
26
-
-
0030987793
-
Use of a probabilistic neural network to estimate the risk of mortality after cardiac surgery
-
R. K. Orr, "Use of a probabilistic neural network to estimate the risk of mortality after cardiac surgery", J. Medical Decision Making, vol. 17, no. 2, pp. 178-185, 1997.
-
(1997)
J. Medical Decision Making
, vol.17
, Issue.2
, pp. 178-185
-
-
Orr, R.K.1
-
27
-
-
0001473437
-
On estimation of a probability density function and mode
-
E. Parzen, "On estimation of a probability density function and mode," Annals of Mathematical Statistics, vol. 33, no.3, 1962, pp. 1065-1076.
-
(1962)
Annals of Mathematical Statistics
, vol.33
, Issue.3
, pp. 1065-1076
-
-
Parzen, E.1
-
28
-
-
0003396255
-
-
The Math Works, Inc, Online, Availiable
-
D. Howard and B. Mark (2008), "Neural network toolbox User's Guide", The Math Works, Inc. [Online]. Availiable: http://www.mathworks.com/access/helpdesk/help/pdf-doc/nnet/nnet.pdf.
-
(2008)
Neural network toolbox User's Guide
-
-
Howard, D.1
Mark, B.2
|