David M. Schuster

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 9

Top Topics

Prostate Segmentation

Statistical Shape Model

Top Venues

Medical Imaging: Image-Guided Procedures

Medical Imaging: Image Processing

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Medical Imaging: Computer-Aided Diagnosis

Publications

Tonghe Wang, Yang Lei, Eduard Schreibmann, Justin Roper, David M. Schuster, Jeffrey D. Bradley, Tian Liu, Ashesh B. Jani, Xiaofeng Yang
Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Tonghe Wang, Yang Lei, Olayinka A. Abiodun Ojo, Oladunni A. Akin-Akintayo, Akinyemi A. Akintayo, Walter J. Curran, Tian Liu, David M. Schuster, Xiaofeng Yang
MRI-based prostate and dominant lesion segmentation using deep neural network. Medical Imaging: Computer-Aided Diagnosis (2021)
Tonghe Wang, Yang Lei, Oladunni O. Akin-Akintayo, Olayinka A. Abiodun Ojo, Akinyemi A. Akintayo, Walter J. Curran, Tian Liu, David M. Schuster, Xiaofeng Yang
Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
Yang Lei, Sibo Tian, Yabo Fu, Xue Dong, Tonghe Wang, Ashesh B. Jani, David M. Schuster, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang
Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography. Medical Imaging: Image Processing (2020)
Maysam Shahedi, Martin T. Halicek, Qinmei Li, Lizhi Liu, Zhenfeng Zhang, Sadhna Verma, David M. Schuster, Baowei Fei
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling. Medical Imaging: Image-Guided Procedures (2019)
Maysam Shahedi, Ling Ma, Martin T. Halicek, Rongrong Guo, Guoyi Zhang, David M. Schuster, Peter Nieh, Viraj Master, Baowei Fei
A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics. Medical Imaging: Image-Guided Procedures (2018)
Ling Ma, Rongrong Guo, Guoyi Zhang, Funmilayo Tade, David M. Schuster, Peter Nieh, Viraj Master, Baowei Fei
Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion. Medical Imaging: Image Processing (2017)
Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter T. Nieh, Viraj V. Master, David M. Schuster, Baowei Fei
Random walk based segmentation for the prostate on 3D transrectal ultrasound images. Medical Imaging: Image-Guided Procedures (2016)
Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Funmilayo Tade, David M. Schuster, Baowei Fei
Combining population and patient-specific characteristics for prostate segmentation on 3D CT images. Medical Imaging: Image Processing (2016)
Walter J. Wooten, Jonathan A. Nye, David M. Schuster, Peter T. Nieh, Viraj Master, John R. Votaw, Baowei Fei
Accuracy evaluation of a 3D ultrasound-guided biopsy system. Medical Imaging: Image-Guided Procedures (2013)
Baowei Fei, David M. Schuster, Viraj Master, Hamed Akbari, Aaron Fenster, Peter Nieh
A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate. Medical Imaging: Image-Guided Procedures (2012)
Baowei Fei, Viraj Master, Peter Nieh, Hamed Akbari, Xiaofeng Yang, Aaron Fenster, David M. Schuster
A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer. Prostate Cancer Imaging (2011)
Xiaofeng Yang, David M. Schuster, Viraj Master, Peter Nieh, Aaron Fenster, Baowei Fei
Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior. Medical Imaging: Image-Guided Procedures (2011)
David M. Schuster, Suzanne E. Hall, Carole B. Couse, Debra S. Swayngim, Keith Y. Kohatsu
Implementation Brief: Involving Users in the Implementation of an Imaging Order Entry System. J. Am. Medical Informatics Assoc. 10 (4) (2003)