Buchumschlag

Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapy

Fuente: Wiley Open Access

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Bining Yang, Yuxiang Liu, Ran Wei, Kuo Men, Jianrong Dai
Format:	Artículo Open Access
Veröffentlicht:	Wiley 2024
Schlagworte:	Medical Physics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Prediction of real‐time cine‐MR images during MRI‐guided radiotherapy of liver cancer using a GAN–ConvLSTM network
von: Guodong Jin, et al.
Veröffentlicht: (2025)

Longitudinal evaluation of workflow optimization in radiotherapy: A 4‐year retrospective study
von: Chenlei Guo, et al.
Veröffentlicht: (2025)

Cross‐technique transfer learning to predict the dose distribution for radiotherapy planning based on a limited sample size
von: Xiaohong Wang, et al.
Veröffentlicht: (2026)

A deep‐learning framework for the prediction of the type of adaptive strategy of MR‐guided prostate radiotherapy
von: Wenlong Xia, et al.
Veröffentlicht: (2025)

A multi‐source feature‐driven deep learning method to generate linear energy transfer distribution for proton therapy
von: Qian Liu, et al.
Veröffentlicht: (2025)

Quantification of head and neck cancer patients' anatomical changes during radiotherapy: prediction of replanning need
von: Rios-Ibacache, Odette, et al.
Veröffentlicht: (2025)

An MR‐only deep learning inference model‐based dose estimation algorithm for MR‐guided adaptive radiation therapy
von: Zhiqiang Liu, et al.
Veröffentlicht: (2025)

Developing an automatic decision‐assistance tool to choose proton/photon radiotherapy for patients with prostate cancer
von: Mengyang Li, et al.
Veröffentlicht: (2026)

Diagnostic image‐based treatment planning for online adaptive ultra‐hypofractionated prostate cancer radiotherapy with MR‐Linac
von: Yuan Xu, et al.
Veröffentlicht: (2025)

An efficient method to evaluate the mechanical accuracy of MR‐Linac configured with an MV panel
von: Zhihui Hu, et al.
Veröffentlicht: (2025)

A novel dose calculation system implemented in image domain
von: Jiawei Fan, et al.
Veröffentlicht: (2025)

Deep learning‐based dose prediction for magnetic resonance‐guided prostate radiotherapy
von: Samuel Fransson, et al.
Veröffentlicht: (2024)

Innovative electromagnetic coupling design and performance testing of a drive module for multi‐leaf collimators
von: Qingfeng Xu, et al.
Veröffentlicht: (2025)

Predicting anatomical variations in radiotherapy with a vector quantized variational autoencoder generative model
von: Yue Zou, et al.
Veröffentlicht: (2025)

Deep learning‐based Monte Carlo dose prediction for heavy‐ion online adaptive radiotherapy and fast quality assurance: A feasibility study
von: Rui He, et al.
Veröffentlicht: (2025)

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma
von: Yang, Bohan, et al.
Veröffentlicht: (2025)

Landmark‐based auto‐contouring of clinical target volumes for radiotherapy of nasopharyngeal cancer
von: Carlos Sjogreen, et al.
Veröffentlicht: (2024)

A deep learning model for inter-fraction head and neck anatomical changes
von: Burlacu, Tiberiu, et al.
Veröffentlicht: (2024)

Applying deep generative model in plan review of intensity modulated radiotherapy
von: Peng Huang, et al.
Veröffentlicht: (2025)

Design and performance of a novel multi‐leaf collimator composed of leaves with fixed and movable layers
von: Qingfeng Xu, et al.
Veröffentlicht: (2024)

Small and large‐scale information collaborative unet for metastatic lymph node segmentation of multi‐modal nasopharyngeal carcinoma MRI images
von: Haoyang Zhou, et al.
Veröffentlicht: (2026)

Deep learning based super‐resolution for CBCT dose reduction in radiotherapy
von: Adrian Thummerer, et al.
Veröffentlicht: (2024)

Response prediction of radiotherapy in lung cancer patients using multimodal data
von: Xiaojuan Duan, et al.
Veröffentlicht: (2025)

Automatic localization of anatomical landmarks in head cine fluoroscopy images via deep learning
von: Wilbur KS Fum, et al.
Veröffentlicht: (2024)

Deep learning‐based target decomposition for markerless lung tumor tracking in radiotherapy
von: Yabo Fu, et al.
Veröffentlicht: (2024)

A GPU‐accelerated Monte Carlo dose engine for external beam radiotherapy
von: Zihao Liu, et al.
Veröffentlicht: (2025)

Critical review of patient outcome study in head and neck cancer radiotherapy
von: Chen, Jingyuan, et al.
Veröffentlicht: (2025)

Development of a proof‐of‐concept treatment planning system for multi‐beam photon FLASH intensity modulated radiation therapy
von: Guo Chenlei, et al.
Veröffentlicht: (2026)

A GPU‐accelerated radiation dose engine for small animal proton radiotherapy
von: Haonian Gong, et al.
Veröffentlicht: (2026)

Impact of harmonization on predicting complications in head and neck cancer after radiotherapy using MRI radiomics and machine learning techniques
von: Benyamin Khajetash, et al.
Veröffentlicht: (2025)

Radiomics‐guided generative adversarial network for automatic primary target volume segmentation for nasopharyngeal carcinoma using computed tomography images
von: Juebin Jin, et al.
Veröffentlicht: (2024)

Machine learning in image‐based outcome prediction after radiotherapy: A review
von: Xiaohan Yuan, et al.
Veröffentlicht: (2024)

Identification of macrotrabecular‐massive hepatocellular carcinoma through multiphasic CT‐based representation learning method
von: Zhenyang Zhang, et al.
Veröffentlicht: (2024)

Beam field guided diffusion model for liver cancer radiotherapy dose distribution prediction
von: Xiangxu Cao, et al.
Veröffentlicht: (2025)

Novel pre‐spatial data fusion deep learning approach for multimodal volumetric outcome prediction models in radiotherapy
von: John C. Asbach, et al.
Veröffentlicht: (2025)

A simulation study of a novel spiral volumetric modulated arc therapy for enhanced dose delivery efficiency and quality in radiotherapy
von: Kuo Li, et al.
Veröffentlicht: (2026)

Millimeter wave‐based patient setup verification and motion tracking during radiotherapy
von: Max Bressler, et al.
Veröffentlicht: (2024)

Dose prediction via deep learning to enhance treatment planning of lung radiotherapy including simultaneous integrated boost techniques
von: Wenhua Cao, et al.
Veröffentlicht: (2025)

Impact of normal lung volume choices on radiation pneumonitis risk prediction in locally advanced NSCLC radiotherapy
von: Gadsby, Alyssa, et al.
Veröffentlicht: (2024)

Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy
von: Iris D. Kolenbrander, et al.
Veröffentlicht: (2024)