The Value of Artificial Neural Network Techniques to Develop Diagnostic Systems in Cardiology von DASSEN, WILLEM R.M., MULLENEERS, ROB G.A.

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Evaluation of new self‐learning techniques for the generation of criteria for differentiation of wide‐QRS tachycardia in supraventricular tachycardia and ventricular tachycardia... von Dassen, Willem R.M., Mulleneers, Rob G.A., Smeets, Joep L.R.M., Wellens, Hein J.J., Karthaus, Vincent L.J., Talmon, Jan L.

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An Artificial Neural Network to Localize Atrioventricular Accessory Pathways in Patients Suffering from the Wolff-Parkinson-White Syndrome von DASSEN, WILLEM R.M., MULLENEERS, ROB G.A., DULK, KAREL DEN, SMEETS, JOEP R.L.M., CRUZ, FERNANDO, PENN, OLAF C.K.M., WELLENS, HEIN J.J.

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Proposal for an editorial policy for publications describing the use of artificial neural networks in electrocardiography von Dassen, Willem R.M., Mulleneers, Rob G.A., Talmon, Jan L.

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The influence of initial parameters on the learning behavior and performance of an artificial neural network von Dassen, Willem R.M., Mulleneers, Rob G.A., den Dulk, Karel, Wellens, Hein J.J.

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Further improvement of classical criteria for differentiation of wide-QRS tachycardia in SVT and VT using artificial neural network techniques von Dassen, W.R.M., Mulleneers, R.G.A., den Dulk, K., Karthaus, V.L.J., Talmon, J.L., Wellens, H.J.J.

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