Deep learning‐based dose prediction for magnetic resonance‐guided prostate radiotherapy
Fuente:
Wiley Open Access
Saved in:
| Main Authors: | Samuel Fransson, Robin Strand, David Tilly |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy
by: Iris D. Kolenbrander, et al.
Published: (2024)
by: Iris D. Kolenbrander, et al.
Published: (2024)
Deep learning based super‐resolution for CBCT dose reduction in radiotherapy
by: Adrian Thummerer, et al.
Published: (2024)
by: Adrian Thummerer, et al.
Published: (2024)
A deep‐learning framework for the prediction of the type of adaptive strategy of MR‐guided prostate radiotherapy
by: Wenlong Xia, et al.
Published: (2025)
by: Wenlong Xia, et al.
Published: (2025)
Deep learning‐based synthetic‐CT‐free photon dose calculation in MR‐guided radiotherapy: A proof‐of‐concept study
by: Fan Xiao, et al.
Published: (2025)
by: Fan Xiao, et al.
Published: (2025)
Beam field guided diffusion model for liver cancer radiotherapy dose distribution prediction
by: Xiangxu Cao, et al.
Published: (2025)
by: Xiangxu Cao, et al.
Published: (2025)
Towards optimal heterogeneous prostate radiotherapy dose prescriptions based on patient‐specific or population‐based biological features
by: Yutong Zhao, et al.
Published: (2024)
by: Yutong Zhao, et al.
Published: (2024)
Monte Carlo–based optimization of CTV‐to‐PTV margins for image‐guided VMAT prostate radiotherapy
by: Quan Chen, et al.
Published: (2026)
by: Quan Chen, et al.
Published: (2026)
Deep learning‐based Monte Carlo dose prediction for heavy‐ion online adaptive radiotherapy and fast quality assurance: A feasibility study
by: Rui He, et al.
Published: (2025)
by: Rui He, et al.
Published: (2025)
Cross‐technique transfer learning to predict the dose distribution for radiotherapy planning based on a limited sample size
by: Xiaohong Wang, et al.
Published: (2026)
by: Xiaohong Wang, et al.
Published: (2026)
Quantifying dose perturbations in high‐risk prostate radiotherapy due to translational and rotational motion of prostate and pelvic lymph nodes
by: Karolina A. Klucznik, et al.
Published: (2024)
by: Karolina A. Klucznik, et al.
Published: (2024)
Magnetic resonance guided adaptive post prostatectomy radiotherapy: Accumulated dose comparison of different workflows
by: Sean P. Hassan, et al.
Published: (2024)
by: Sean P. Hassan, et al.
Published: (2024)
Knowledge‐based plan library‐guided adaptive proton stereotactic ablative radiotherapy (SABR) for localized prostate cancer
by: Keyur D. Shah, et al.
Published: (2025)
by: Keyur D. Shah, et al.
Published: (2025)
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
by: Sean J. Domal, et al.
Published: (2025)
by: Sean J. Domal, et al.
Published: (2025)
Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data
by: Hui‐Ju Wang, et al.
Published: (2025)
by: Hui‐Ju Wang, et al.
Published: (2025)
Transformer‐based deep learning for predicting brain tumor recurrence using magnetic resonance imaging
by: Qiuyu Zhou, et al.
Published: (2025)
by: Qiuyu Zhou, et al.
Published: (2025)
Experimental investigation of real‐time 3D beam's eye view image‐guided radiotherapy for prostate SBRT
by: Danielle Chrystall, et al.
Published: (2025)
by: Danielle Chrystall, et al.
Published: (2025)
Large‐language‐model empowered 3D dose prediction for intensity‐modulated radiotherapy
by: Zehao Dong, et al.
Published: (2024)
by: Zehao Dong, et al.
Published: (2024)
Deep learning‐based magnetic resonance imaging analysis for chronic cerebral hypoperfusion risk
by: Meiyi Yang, et al.
Published: (2024)
by: Meiyi Yang, et al.
Published: (2024)
Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapy
by: Bining Yang, et al.
Published: (2024)
by: Bining Yang, et al.
Published: (2024)
Impact of deep learning model uncertainty on manual corrections to auto-segmentation in prostate cancer radiotherapy
by: Rogowski, Viktor, et al.
Published: (2025)
by: Rogowski, Viktor, et al.
Published: (2025)
The use of dose surface maps as a tool to investigate spatial dose delivery accuracy for the rectum during prostate radiotherapy
by: Haley M. Patrick, et al.
Published: (2024)
by: Haley M. Patrick, et al.
Published: (2024)
Correction to “Experimental investigation of real‐time 3D beam's eye view image‐guided radiotherapy for prostate SBRT”
Published: (2026)
Published: (2026)
The implementation of knowledge‐based planning with partial OAR contours for prostate radiotherapy
by: Ositomiwa O. Osipitan, et al.
Published: (2025)
by: Ositomiwa O. Osipitan, et al.
Published: (2025)
Deep learning‐based target decomposition for markerless lung tumor tracking in radiotherapy
by: Yabo Fu, et al.
Published: (2024)
by: Yabo Fu, et al.
Published: (2024)
Rapid multi‐catheter segmentation for magnetic resonance image‐guided catheter‐based interventions
by: Amanda M. Aleong, et al.
Published: (2024)
by: Amanda M. Aleong, et al.
Published: (2024)
New index for quantitative comparison of dose distributions in radiotherapy
by: Vadim Y. Kuperman, et al.
Published: (2025)
by: Vadim Y. Kuperman, et al.
Published: (2025)
A clustering‐based approach to address correlated features in predicting genitourinary toxicity from MRI‐guided prostate SBRT
by: Pouyan Rezapoor, et al.
Published: (2025)
by: Pouyan Rezapoor, et al.
Published: (2025)
Actor critic with experience replay‐based automatic treatment planning for prostate cancer intensity modulated radiotherapy
by: Md Mainul Abrar, et al.
Published: (2025)
by: Md Mainul Abrar, et al.
Published: (2025)
Enhancing prostate cancer segmentation on multiparametric magnetic resonance imaging with background information and gland masks
by: Lei Wang, et al.
Published: (2024)
by: Lei Wang, et al.
Published: (2024)
Improving 3D dose prediction for breast radiotherapy using novel glowing masks and gradient‐weighted loss functions
by: Lance C. Moore, et al.
Published: (2024)
by: Lance C. Moore, et al.
Published: (2024)
Conceptualization of electronic dose to water for dosimetry in external beam radiotherapy
by: Kanematsu, Nobuyuki
Published: (2024)
by: Kanematsu, Nobuyuki
Published: (2024)
Technical note: Phantom‐based evaluation of CBCT dose calculation accuracy for use in adaptive radiotherapy
by: Claas Wessels, et al.
Published: (2024)
by: Claas Wessels, et al.
Published: (2024)
A physics-informed, plug-and-play dose engine for gradient-based radiotherapy treatment planning
by: Simkó, Attila, et al.
Published: (2025)
by: Simkó, Attila, et al.
Published: (2025)
Machine learning in image‐based outcome prediction after radiotherapy: A review
by: Xiaohan Yuan, et al.
Published: (2024)
by: Xiaohan Yuan, et al.
Published: (2024)
Generation of 3D reference dosimetric datasets towards adoption of model‐based dose calculations for permanent implant prostate brachytherapy
by: Fatemeh Akbari, et al.
Published: (2026)
by: Fatemeh Akbari, et al.
Published: (2026)
Deep learning based ultra‐low dose fan‐beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy
by: Hua Jiang, et al.
Published: (2024)
by: Hua Jiang, et al.
Published: (2024)
Multi‐collimator proton minibeam radiotherapy with joint dose and PVDR optimization
by: Weijie Zhang, et al.
Published: (2024)
by: Weijie Zhang, et al.
Published: (2024)
Prediction of early recurrence of adult‐type diffuse gliomas following radiotherapy using multi‐modal magnetic resonance images
by: Elahheh Salari, et al.
Published: (2024)
by: Elahheh Salari, et al.
Published: (2024)
Deep learning‐based low‐dose CT simulator for non‐linear reconstruction methods
by: Sjoerd A. M. Tunissen, et al.
Published: (2024)
by: Sjoerd A. M. Tunissen, et al.
Published: (2024)
Federated learning for enhanced dose–volume parameter prediction with decentralized data
by: Jiahan Zhang, et al.
Published: (2024)
by: Jiahan Zhang, et al.
Published: (2024)
Similar Items
-
Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy
by: Iris D. Kolenbrander, et al.
Published: (2024) -
Deep learning based super‐resolution for CBCT dose reduction in radiotherapy
by: Adrian Thummerer, et al.
Published: (2024) -
A deep‐learning framework for the prediction of the type of adaptive strategy of MR‐guided prostate radiotherapy
by: Wenlong Xia, et al.
Published: (2025) -
Deep learning‐based synthetic‐CT‐free photon dose calculation in MR‐guided radiotherapy: A proof‐of‐concept study
by: Fan Xiao, et al.
Published: (2025) -
Beam field guided diffusion model for liver cancer radiotherapy dose distribution prediction
by: Xiangxu Cao, et al.
Published: (2025)