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David M. Schuster
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2020 – today
- 2022
- [c14]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c13]Yabo Fu, Yang Lei, David M. Schuster, Sagar A. Patel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deformable histopathology-MRI image registration using deep learning. Digital and Computational Pathology 2022 - 2021
- [c12]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c11]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. Computer-Aided Diagnosis 2021 - 2020
- [c10]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. Image Processing 2020: 1131338
2010 – 2019
- 2019
- [c9]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. Image-Guided Procedures 2019: 109512I - 2018
- [c8]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. Image-Guided Procedures 2018: 1057616 - 2017
- [c7]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. Image Processing 2017: 101332O - 2016
- [c6]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. Image-Guided Procedures 2016: 978607 - [c5]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. Image Processing 2016: 978427 - 2013
- [c4]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. Image-Guided Procedures 2013: 86712H - 2012
- [c3]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. Image-Guided Procedures 2012: 831613 - 2011
- [c2]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: 100-108 - [c1]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. Image-Guided Procedures 2011: 796432
2000 – 2009
- 2003
- [j1]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): 315-321 (2003)
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