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Disambiguation of "Schuster, David M."

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Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion.

, , , , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101332O. SPIE, (2017)

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David M Eche

David M Eche

David M Stec

David M Allen

Jörg David Schuster

 

Other publications of authors with the same name

Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior., , , , , and . Medical Imaging: Image-Guided Procedures, volume 7964 of SPIE Proceedings, page 796432. SPIE, (2011)Accuracy evaluation of a 3D ultrasound-guided biopsy system., , , , , , and . Medical Imaging: Image-Guided Procedures, volume 8671 of SPIE Proceedings, page 86712H. SPIE, (2013)Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET., , , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Combining population and patient-specific characteristics for prostate segmentation on 3D CT images., , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978427. SPIE, (2016)Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion., , , , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101332O. SPIE, (2017)MRI-based prostate and dominant lesion segmentation using deep neural network., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics., , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 1057616. SPIE, (2018)A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate., , , , , and . Medical Imaging: Image-Guided Procedures, volume 8316 of SPIE Proceedings, page 831613. SPIE, (2012)Random walk based segmentation for the prostate on 3D transrectal ultrasound images., , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978607. SPIE, (2016)Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131338. SPIE, (2020)