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S B Lo

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Medical Imaging|January 1, 1988
Strip and line path integrals with a square pixel matrix: a unified theory for computational CT projectionsS B Lo
Radiology|September 1, 1973
The "nonvisualized" gallbladder. A tomographic re-evaluationG S Meinick, S B Lo Curcio
The Medical Journal of Malaysia|March 1, 1984
A preliminary study on the use of counterimmunoelectrophoresis and coagglutination methods in the diagnosis of bacterial meningitisY M Cheong, M Jegathesan, S B Lo
IEEE Transactions on Medical Imaging|January 1, 1990
Noise impact on error-free image compressionS B Lo, B Krasner, S K Mun
IEEE Transactions on Medical Imaging|January 1, 1996
Reduction of false positives in lung nodule detection using a two-level neural classificationJ S Lin, S B Lo, A Hasegawa, et al.
IEEE Transactions on Medical Imaging|January 1, 1995
Artificial convolution neural network techniques and applications for lung nodule detectionS B Lo, S A Lou, J S Lin, et al.
Lung Cancer (Amsterdam, Netherlands)|December 7, 2019
Newly diagnosed patients with advanced non-small cell lung cancer: A clinical description of those with moderate to severe depressive symptomsB L Andersen, T R Valentine, S B Lo, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Medical Imaging|January 1, 1988
Strip and line path integrals with a square pixel matrix: a unified theory for computational CT projectionsS B Lo
Radiology|September 1, 1973
The "nonvisualized" gallbladder. A tomographic re-evaluationG S Meinick, S B Lo Curcio
The Medical Journal of Malaysia|March 1, 1984
A preliminary study on the use of counterimmunoelectrophoresis and coagglutination methods in the diagnosis of bacterial meningitisY M Cheong, M Jegathesan, S B Lo
IEEE Transactions on Medical Imaging|January 1, 1990
Noise impact on error-free image compressionS B Lo, B Krasner, S K Mun
IEEE Transactions on Medical Imaging|January 1, 1996
Reduction of false positives in lung nodule detection using a two-level neural classificationJ S Lin, S B Lo, A Hasegawa, et al.
IEEE Transactions on Medical Imaging|January 1, 1995
Artificial convolution neural network techniques and applications for lung nodule detectionS B Lo, S A Lou, J S Lin, et al.
Lung Cancer (Amsterdam, Netherlands)|December 7, 2019
Newly diagnosed patients with advanced non-small cell lung cancer: A clinical description of those with moderate to severe depressive symptomsB L Andersen, T R Valentine, S B Lo, et al.
Pageof 1