147 related articles for article (PubMed ID: 34658779)
1. Improvement Using Planomics Features on Prediction and Classification of Patient-Specific Quality Assurance Using Head and Neck Volumetric Modulated Arc Therapy Plan.
Li B; Chen J; Guo W; Mao R; Zheng X; Cheng X; Cui T; Lou Z; Wang T; Li D; Tao H; Lei H; Ge H
Front Neurosci; 2021; 15():744296. PubMed ID: 34658779
[No Abstract] [Full Text] [Related]
2. Evaluation of prediction and classification performances in different machine learning models for patient-specific quality assurance of head-and-neck VMAT plans.
Kusunoki T; Hatanaka S; Hariu M; Kusano Y; Yoshida D; Katoh H; Shimbo M; Takahashi T
Med Phys; 2022 Jan; 49(1):727-741. PubMed ID: 34859445
[TBL] [Abstract][Full Text] [Related]
3. Improvement of prediction and classification performance for gamma passing rate by using plan complexity and dosiomics features.
Hirashima H; Ono T; Nakamura M; Miyabe Y; Mukumoto N; Iramina H; Mizowaki T
Radiother Oncol; 2020 Dec; 153():250-257. PubMed ID: 32712247
[TBL] [Abstract][Full Text] [Related]
4. Study of the prediction of gamma passing rate in dosimetric verification of intensity-modulated radiotherapy using machine learning models based on plan complexity.
Bin S; Zhang J; Shen L; Zhang J; Wang Q
Front Oncol; 2023; 13():1094927. PubMed ID: 37546404
[TBL] [Abstract][Full Text] [Related]
5. Integrating plan complexity and dosiomics features with deep learning in patient-specific quality assurance for volumetric modulated arc therapy.
Han C; Zhang J; Yu B; Zheng H; Wu Y; Lin Z; Ning B; Yi J; Xie C; Jin X
Radiat Oncol; 2023 Jul; 18(1):116. PubMed ID: 37434171
[TBL] [Abstract][Full Text] [Related]
6. Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy.
Li J; Wang L; Zhang X; Liu L; Li J; Chan MF; Sui J; Yang R
Int J Radiat Oncol Biol Phys; 2019 Nov; 105(4):893-902. PubMed ID: 31377162
[TBL] [Abstract][Full Text] [Related]
7. Machine learning-based ensemble prediction model for the gamma passing rate of VMAT-SBRT plan.
Sun W; Mo Z; Li Y; Xiao J; Jia L; Huang S; Liao C; Du J; He S; Chen L; Zhang W; Yang X
Phys Med; 2024 Jan; 117():103204. PubMed ID: 38154373
[TBL] [Abstract][Full Text] [Related]
8. Using machine learning to predict gamma passing rate in volumetric-modulated arc therapy treatment plans.
Salari E; Shuai Xu K; Sperling NN; Parsai EI
J Appl Clin Med Phys; 2023 Feb; 24(2):e13824. PubMed ID: 36495010
[TBL] [Abstract][Full Text] [Related]
9. Predicting gamma evaluation results of patient-specific head and neck volumetric-modulated arc therapy quality assurance based on multileaf collimator patterns and fluence map features: A feasibility study.
Thongsawad S; Srisatit S; Fuangrod T
J Appl Clin Med Phys; 2022 Jul; 23(7):e13622. PubMed ID: 35584035
[TBL] [Abstract][Full Text] [Related]
10. Texture analysis on the fluence map to evaluate the degree of modulation for volumetric modulated arc therapy.
Park SY; Kim IH; Ye SJ; Carlson J; Park JM
Med Phys; 2014 Nov; 41(11):111718. PubMed ID: 25370632
[TBL] [Abstract][Full Text] [Related]
11. Multi-task autoencoder based classification-regression model for patient-specific VMAT QA.
Wang L; Li J; Zhang S; Zhang X; Zhang Q; Chan MF; Yang R; Sui J
Phys Med Biol; 2020 Nov; 65(23):235023. PubMed ID: 33245054
[TBL] [Abstract][Full Text] [Related]
12. Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance.
Hu T; Xie L; Zhang L; Li G; Yi Z
Int J Neural Syst; 2022 Jan; 32(1):2150055. PubMed ID: 34895106
[TBL] [Abstract][Full Text] [Related]
13. Efficient dose-volume histogram-based pretreatment patient-specific quality assurance methodology with combined deep learning and machine learning models for volumetric modulated arc radiotherapy.
Gong C; Zhu K; Lin C; Han C; Lu Z; Chen Y; Yu C; Hou L; Zhou Y; Yi J; Ai Y; Xiang X; Xie C; Jin X
Med Phys; 2022 Dec; 49(12):7779-7790. PubMed ID: 36190117
[TBL] [Abstract][Full Text] [Related]
14. Predictive gamma passing rate of 3D detector array-based volumetric modulated arc therapy quality assurance for prostate cancer via deep learning.
Matsuura T; Kawahara D; Saito A; Miura H; Yamada K; Ozawa S; Nagata Y
Phys Eng Sci Med; 2022 Dec; 45(4):1073-1081. PubMed ID: 36202950
[TBL] [Abstract][Full Text] [Related]
15. Unbiased evaluation of predicted gamma passing rate by an event-mixing technique.
Koganezawa AS; Matsuura T; Kawahara D; Nakashima T; Shiba E; Murakami Y; Nagata Y
Med Phys; 2024 Jan; 51(1):5-17. PubMed ID: 38009570
[TBL] [Abstract][Full Text] [Related]
16. Impact of plan parameters on the dosimetric accuracy of volumetric modulated arc therapy.
Masi L; Doro R; Favuzza V; Cipressi S; Livi L
Med Phys; 2013 Jul; 40(7):071718. PubMed ID: 23822422
[TBL] [Abstract][Full Text] [Related]
17. Development of a plan complexity mitigation algorithm based on gamma passing rate predictions for volumetric-modulated arc therapy.
Ono T; Nakamura M; Ono Y; Nakamura K; Mizowaki T
Med Phys; 2022 Mar; 49(3):1793-1802. PubMed ID: 35064567
[TBL] [Abstract][Full Text] [Related]
18. Error detection model developed using a multi-task convolutional neural network in patient-specific quality assurance for volumetric-modulated arc therapy.
Kimura Y; Kadoya N; Oku Y; Kajikawa T; Tomori S; Jingu K
Med Phys; 2021 Sep; 48(9):4769-4783. PubMed ID: 34101848
[TBL] [Abstract][Full Text] [Related]
19. Description and evaluation of a new volumetric-modulated arc therapy plan complexity metric.
Li G; Jiang W; Li Y; Wang Q; Xiao J; Zhong R; Bai S
Med Dosim; 2021 Summer; 46(2):188-194. PubMed ID: 33353791
[TBL] [Abstract][Full Text] [Related]
20. Machine learning-generated decision boundaries for prediction and exploration of patient-specific quality assurance failures in stereotactic radiosurgery plans.
Braun J; Quirk S; Tchistiakova E
Med Phys; 2022 Mar; 49(3):1955-1963. PubMed ID: 35064564
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
