David M. Schuster
Orcid: 0000-0003-3077-742X
According to our database1,
David M. Schuster
authored at least 14 papers
between 2003 and 2022.
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Bibliography
2022
Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
2020
Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
2019
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
2018
A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
2017
Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
2016
Combining population and patient-specific characteristics for prostate segmentation on 3D CT images.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
2013
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
2012
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
2011
Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior.
Proceedings of the Medical Imaging 2011: Visualization, 2011
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011
2003
Implementation Brief: Involving Users in the Implementation of an Imaging Order Entry System.
J. Am. Medical Informatics Assoc., 2003