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C E Floyd

Showing results (51-60 of 78) with videos related to

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Medical Physics|December 1, 1994
An artificial neural network approach to quantitative single photon emission computed tomographic reconstruction with collimator, attenuation, and scatter compensationM T Munley, C E Floyd, J E Bowsher, et al.
Investigative Radiology|May 1, 1991
Single-exposure conventional and computed radiography image acquisitionH G Chotas, J T Dobbins, C E Floyd, et al.
Radiology|July 1, 1993
Measurement of scatter fractions in erect posteroanterior and lateral chest radiographyL K Jordan, C E Floyd, J Y Lo, et al.
Physics in Medicine and Biology|January 1, 1995
A Monte Carlo investigation of dual-energy-window scatter correction for volume-of-interest quantification in 99Tcm SPECTJ Q Luo, K F Koral, M Ljungberg, et al.
International Journal of Radiation Oncology, Biology, Physics|June 2, 1998
Artificial neural network model of survival in patients treated with irradiation with and without concurrent chemotherapy for advanced carcinoma of the head and neckT J Bryce, M W Dewhirst, C E Floyd, et al.
Medical Physics|July 1, 1986
Cone beam collimation for single photon emission computed tomography: analysis, simulation, and image reconstruction using filtered backprojectionR J Jaszczak, C E Floyd, S H Manglos, et al.
Radiology|April 1, 1997
Predicting breast cancer invasion with artificial neural networks on the basis of mammographic featuresJ Y Lo, J A Baker, P J Kornguth, et al.
Investigative Radiology|May 1, 1993
Scatter compensation for digital chest radiography using maximum likelihood expectation maximizationC E Floyd, A H Baydush, J Y Lo, et al.
Investigative Radiology|October 1, 1994
Bayesian restoration of chest radiographs. Scatter compensation with improved signal-to-noise ratioC E Floyd, A H Baydush, J Y Lo, et al.
Cancer|December 1, 1994
Prediction of breast cancer malignancy using an artificial neural networkC E Floyd, J Y Lo, A J Yun, et al.
Pageof 8

Showing results (51-60 of 78) with videos related to

Sort By:
Pageof 8
Medical Physics|December 1, 1994
An artificial neural network approach to quantitative single photon emission computed tomographic reconstruction with collimator, attenuation, and scatter compensationM T Munley, C E Floyd, J E Bowsher, et al.
Investigative Radiology|May 1, 1991
Single-exposure conventional and computed radiography image acquisitionH G Chotas, J T Dobbins, C E Floyd, et al.
Radiology|July 1, 1993
Measurement of scatter fractions in erect posteroanterior and lateral chest radiographyL K Jordan, C E Floyd, J Y Lo, et al.
Physics in Medicine and Biology|January 1, 1995
A Monte Carlo investigation of dual-energy-window scatter correction for volume-of-interest quantification in 99Tcm SPECTJ Q Luo, K F Koral, M Ljungberg, et al.
International Journal of Radiation Oncology, Biology, Physics|June 2, 1998
Artificial neural network model of survival in patients treated with irradiation with and without concurrent chemotherapy for advanced carcinoma of the head and neckT J Bryce, M W Dewhirst, C E Floyd, et al.
Medical Physics|July 1, 1986
Cone beam collimation for single photon emission computed tomography: analysis, simulation, and image reconstruction using filtered backprojectionR J Jaszczak, C E Floyd, S H Manglos, et al.
Radiology|April 1, 1997
Predicting breast cancer invasion with artificial neural networks on the basis of mammographic featuresJ Y Lo, J A Baker, P J Kornguth, et al.
Investigative Radiology|May 1, 1993
Scatter compensation for digital chest radiography using maximum likelihood expectation maximizationC E Floyd, A H Baydush, J Y Lo, et al.
Investigative Radiology|October 1, 1994
Bayesian restoration of chest radiographs. Scatter compensation with improved signal-to-noise ratioC E Floyd, A H Baydush, J Y Lo, et al.
Cancer|December 1, 1994
Prediction of breast cancer malignancy using an artificial neural networkC E Floyd, J Y Lo, A J Yun, et al.
Pageof 8