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Random walk based segmentation for the prostate on 3D transrectal ultrasound images.

L. Ma, R. Guo, Z. Tian, R. Venkataraman, S. Sarkar, X. Liu, P. Nieh, V. Master, D. Schuster, and B. Fei. Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978607. SPIE, (2016)

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M. Schuster

Dr. Marie Davidova University of Stuttgart

Alexander Schuster University of Stuttgart

Univ. -Prof. Dr. rer. pol. Philipp Schuster University of Stuttgart

M. Nudischer

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A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling.M. Shahedi, M. Halicek, Q. Li, L. Liu, Z. Zhang, S. Verma, D. Schuster, and B. Fei. Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109512I. SPIE, (2019)A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer.B. Fei, V. Master, P. Nieh, H. Akbari, X. Yang, A. Fenster, and D. Schuster. Prostate Cancer Imaging, volume 6963 of Lecture Notes in Computer Science, page 100-108. Springer, (2011)Random walk based segmentation for the prostate on 3D transrectal ultrasound images.L. Ma, R. Guo, Z. Tian, R. Venkataraman, S. Sarkar, X. Liu, P. Nieh, V. Master, D. Schuster, and B. Fei. Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978607. SPIE, (2016)A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate.B. Fei, D. Schuster, V. Master, H. Akbari, A. Fenster, and P. Nieh. Medical Imaging: Image-Guided Procedures, volume 8316 of SPIE Proceedings, page 831613. SPIE, (2012)Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior.X. Yang, D. Schuster, V. Master, P. Nieh, A. Fenster, and B. Fei. Medical Imaging: Image-Guided Procedures, volume 7964 of SPIE Proceedings, page 796432. SPIE, (2011)Accuracy evaluation of a 3D ultrasound-guided biopsy system.W. Wooten, J. Nye, D. Schuster, P. Nieh, V. Master, J. Votaw, and B. Fei. Medical Imaging: Image-Guided Procedures, volume 8671 of SPIE Proceedings, page 86712H. SPIE, (2013)Implementation Brief: Involving Users in the Implementation of an Imaging Order Entry System.D. Schuster, S. Hall, C. Couse, D. Swayngim, and K. Kohatsu. JAMIA, 10 (4): 315-321 (2003)Combining population and patient-specific characteristics for prostate segmentation on 3D CT images.L. Ma, R. Guo, Z. Tian, R. Venkataraman, S. Sarkar, X. Liu, F. Tade, D. Schuster, and B. Fei. Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978427. SPIE, (2016)A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics.M. Shahedi, L. Ma, M. Halicek, R. Guo, G. Zhang, D. Schuster, P. Nieh, V. Master, and B. Fei. Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 1057616. SPIE, (2018)