( en | de | ru )

 

Disambiguation of "Schuster, David M."

Author of the publication

copydeleteadd this publication to your clipboard
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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

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)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)A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer., , , , , , and . Prostate Cancer Imaging, volume 6963 of Lecture Notes in Computer Science, page 100-108. Springer, (2011)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)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)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)