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Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomography.

R. Alfano, G. Bauman, J. Thiessen, I. Rachinsky, W. Pavlosky, J. Butler, M. Gaed, M. Moussa, J. Gómez, J. Chin, S. Pautler, and A. Ward. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)

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Glenn S Levine

Šāʾûl Bauman

Andreas Bauman

Clarence Bauman

Andreas Glennemeier

Other publications of authors with the same name

Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging.M. Shahedi, D. Cool, G. Bauman, M. Bastian-Jordan, A. Fenster, and A. Ward. J. Digit. Imaging, 30 (6): 782-795 (2017)Accuracy and variability of tumor burden measurement on multi-parametric MRI.M. Salarian, E. Gibson, M. Shahedi, M. Gaed, J. Gómez, M. Moussa, C. Romagnoli, D. Cool, M. Bastian-Jordan, J. Chin and 3 other author(s). Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410I. SPIE, (2014)Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI.R. Alfano, D. Soetemans, G. Bauman, E. Gibson, M. Gaed, M. Moussa, J. Gomez, J. Chin, S. Pautler, and A. Ward. Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 1057515. SPIE, (2018)3D prostate histology reconstruction: an evaluation of image-based and fiducial-based algorithms.E. Gibson, M. Gaed, J. Gómez, M. Moussa, C. Romagnoli, J. Chin, C. Crukley, G. Bauman, A. Fenster, and A. Ward. Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 86760A. SPIE, (2013)Texture-based prostate cancer classification on MRI: how does inter-class size mismatch affect measured system performance?R. Alfano, D. Soetemans, G. Bauman, M. Gaed, M. Moussa, J. Gomez, J. Chin, S. Pautler, and A. Ward. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501D. SPIE, (2019)A dimensionless dynamic contrast enhanced MRI parameter for intra-prostatic tumour target volume delineation: initial comparison with histology.W. Hrinivich, E. Gibson, M. Gaed, J. Gomez, M. Moussa, C. McKenzie, G. Bauman, A. Ward, A. Fenster, and E. Wong. Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 90362I. SPIE, (2014)Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomography.R. Alfano, G. Bauman, J. Thiessen, I. Rachinsky, W. Pavlosky, J. Butler, M. Gaed, M. Moussa, J. Gómez, J. Chin and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts.E. Gibson, M. Gaed, W. Hrinivich, J. Gómez, M. Moussa, C. Romagnoli, J. Mandel, M. Bastian-Jordan, D. Cool, S. Ghoul and 6 other author(s). Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410N. SPIE, (2014)Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement.M. Salarian, M. Shahedi, E. Gibson, M. Gaed, J. Gómez, M. Moussa, G. Bauman, and A. Ward. Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 86760F. SPIE, (2013)

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Disambiguation of "Bauman, Glenn S."