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D W Ruck

Showing results (1-10 of 8) with videos related to

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Cancer Letters|March 15, 1994
Artificial neural networks for early detection and diagnosis of cancerS K Rogers, D W Ruck, M Kabrisky
Neural Computation|January 1, 1997
Selecting optimal experiments for multiple output multilayer perceptronsL M Belue, K W Bauer, D W Ruck
Applied Optics|October 12, 2010
Optical wavelet transforms from computer-generated holographyP G Block, S K Rogers, D W Ruck
Applied Optics|November 25, 2010
Processing wave-front-sensor slope measurements using artificial neural networksD A Montera, B M Welsh, M C Roggemann, et al.
Applied Optics|January 20, 1997
Prediction of wave-front sensor slope measurements with artificial neural networksD A Montera, B M Welsh, M C Roggemann, et al.
Applied Optics|December 4, 2010
Use of artificial neural networks for Hartmann-sensor lenslet centroid estimationD A Montera, B M Welsh, M C Roggemann, et al.
IEEE Transactions on Neural Networks|January 1, 1990
The multilayer perceptron as an approximation to a Bayes optimal discriminant functionD W Ruck, S K Rogers, M Kabrisky, et al.
IEEE Transactions on Medical Imaging|April 9, 1998
Computer-aided breast cancer detection and diagnosis of masses using difference of Gaussians and derivative-based feature saliencyW E Polakowski, D A Cournoyer, S K Rogers, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Cancer Letters|March 15, 1994
Artificial neural networks for early detection and diagnosis of cancerS K Rogers, D W Ruck, M Kabrisky
Neural Computation|January 1, 1997
Selecting optimal experiments for multiple output multilayer perceptronsL M Belue, K W Bauer, D W Ruck
Applied Optics|October 12, 2010
Optical wavelet transforms from computer-generated holographyP G Block, S K Rogers, D W Ruck
Applied Optics|November 25, 2010
Processing wave-front-sensor slope measurements using artificial neural networksD A Montera, B M Welsh, M C Roggemann, et al.
Applied Optics|January 20, 1997
Prediction of wave-front sensor slope measurements with artificial neural networksD A Montera, B M Welsh, M C Roggemann, et al.
Applied Optics|December 4, 2010
Use of artificial neural networks for Hartmann-sensor lenslet centroid estimationD A Montera, B M Welsh, M C Roggemann, et al.
IEEE Transactions on Neural Networks|January 1, 1990
The multilayer perceptron as an approximation to a Bayes optimal discriminant functionD W Ruck, S K Rogers, M Kabrisky, et al.
IEEE Transactions on Medical Imaging|April 9, 1998
Computer-aided breast cancer detection and diagnosis of masses using difference of Gaussians and derivative-based feature saliencyW E Polakowski, D A Cournoyer, S K Rogers, et al.
Pageof 1