Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks
出版年份 2019 全文链接
标题
Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks
作者
关键词
-
出版物
MEDICAL PHYSICS
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2019-12-26
DOI
10.1002/mp.13994
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
- (2019) Bo Wang et al. MEDICAL PHYSICS
- Stereotactic Body Radiation Therapy for Localized Prostate Cancer: A Systematic Review and Meta-Analysis of Over 6,000 Patients Treated On Prospective Studies
- (2019) William C. Jackson et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Feasibility of stereotactic radiotherapy using a 1.5 T MR-linac: Multi-fraction treatment of pelvic lymph node oligometastases
- (2019) Anita M. Werensteijn-Honingh et al. RADIOTHERAPY AND ONCOLOGY
- A Prospective Single-Arm Phase 2 Study of Stereotactic Magnetic Resonance Guided Adaptive Radiation Therapy for Prostate Cancer: Early Toxicity Results
- (2019) Anna M.E. Bruynzeel et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Progressively Trained Convolutional Neural Networks for Deformable Image Registration
- (2019) Koen A. J. Eppenhof et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deformable Image Registration Using Cue-aware Deep Regression Network
- (2018) Xiaohuan Cao et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Weakly-supervised convolutional neural networks for multimodal image registration
- (2018) Yipeng Hu et al. MEDICAL IMAGE ANALYSIS
- Magnetic Resonance Imaging only Workflow for Radiotherapy Simulation and Planning in Prostate Cancer
- (2018) L.G.W. Kerkmeijer et al. CLINICAL ONCOLOGY
- Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging
- (2018) Minh Nguyen Nhat To et al. International Journal of Computer Assisted Radiology and Surgery
- A deep learning framework for unsupervised affine and deformable image registration
- (2018) Bob D. de Vos et al. MEDICAL IMAGE ANALYSIS
- Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks
- (2018) Koen A. J. Eppenhof et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- 10-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer
- (2016) Freddie C. Hamdy et al. NEW ENGLAND JOURNAL OF MEDICINE
- MRI-guided prostate adaptive radiotherapy – A systematic review
- (2016) A.J. McPartlin et al. RADIOTHERAPY AND ONCOLOGY
- An adaptive MR-CT registration method for MRI-guided prostate cancer radiotherapy
- (2015) Hualiang Zhong et al. PHYSICS IN MEDICINE AND BIOLOGY
- Radiotherapy planning using MRI
- (2015) Maria A Schmidt et al. PHYSICS IN MEDICINE AND BIOLOGY
- The ViewRay System: Magnetic Resonance–Guided and Controlled Radiotherapy
- (2014) Sasa Mutic et al. SEMINARS IN RADIATION ONCOLOGY
- elastix: A Toolbox for Intensity-Based Medical Image Registration
- (2009) S. Klein et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Integrating a 1.5 T MRI scanner with a 6 MV accelerator: proof of concept
- (2009) B W Raaymakers et al. PHYSICS IN MEDICINE AND BIOLOGY
- Accuracy and sensitivity of finite element model-based deformable registration of the prostate
- (2008) Kristy K. Brock et al. MEDICAL PHYSICS
- Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information
- (2008) Stefan Klein et al. MEDICAL PHYSICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started