日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Organ-specific equivalent uniform dose constraints and radiobiological parameters for radiation treatment planning of abdominal tumors

腹部肿瘤放射治疗计划的器官特异性等效均匀剂量限制和放射生物学参数

Dabaghmanesh, Samira; Li, X Allen; Paulson, Eric S; Erickson, Beth; Hall, William; Tai, An

Omitting Regional Nodal Irradiation after Response to Neoadjuvant Chemotherapy

新辅助化疗后若疗效显著,可省略区域淋巴结照射

Mamounas, Eleftherios P; Bandos, Hanna; White, Julia R; Julian, Thomas B; Khan, Atif J; Shaitelman, Simona F; Torres, Mylin A; Vicini, Frank A; Ganz, Patricia A; McCloskey, Susan A; Lucas, Peter C; Gupta, Nilendu; Li, X Allen; McCormick, Beryl; Smith, Benjamin; Tendulkar, Rahul D; Kavadi, Vivek S; Matsumoto, Koji; Seaward, Samantha Andrews; Irvin, William J Jr; Lin, Jolinta Y; Mutter, Robert W; Muanza, Thierry M; Stromberg, Jannifer; Jagsi, Reshma; Weiss, Anna C; Curran, Walter J Jr; Wolmark, Norman

Quantification and Dosimetric Impact of Normal Organ Motion During Adaptive Radiation Therapy Planning Using a 1.5 Tesla Magnetic Resonance-Equipped Linear Accelerator (MR-Linac)

利用1.5特斯拉磁共振直线加速器(MR-Linac)进行自适应放射治疗计划时,正常器官运动的量化及其剂量学影响

Wittmann, David; Paulson, Eric S; Banerjee, Anjishnu; Banla, Leou Ismael; Schultz, Christopher; Awan, Musaddiq; Chen, Xinfeng; Omari, Eenas A; Straza, Michael; Li, X Allen; Erickson, Beth; Hall, William A

Deep learning based automatic contour refinement for inaccurate auto-segmentation in MR-guided adaptive radiotherapy

基于深度学习的自动轮廓优化方法用于解决磁共振引导自适应放射治疗中自动分割不准确的问题

Ding, Jie; Zhang, Ying; Amjad, Asma; Sarosiek, Christina; Dang, Nguyen Phuong; Zarenia, Mohammad; Li, X Allen

Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors

基于深度学习的腹部肿瘤磁共振引导在线自适应放射治疗空气体积自动分割

Ahunbay, Ergun; Parchur, Abdul K; Xu, Jiaofeng; Thill, Dan; Paulson, Eric S; Li, X Allen

Deep learning-based prediction of deliverable adaptive plans for MR-guided adaptive radiotherapy: A feasibility study

基于深度学习的磁共振引导自适应放射治疗可实施自适应计划预测:可行性研究

Buchanan, Laura; Hamdan, Saleh; Zhang, Ying; Chen, Xinfeng; Li, X Allen

Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs

基于深度学习的多序列磁共振图像上腹部器官自动分割

Amjad, Asma; Xu, Jiaofeng; Thill, Dan; Zhang, Ying; Ding, Jie; Paulson, Eric; Hall, William; Erickson, Beth A; Li, X Allen

Development of a comprehensive cardiac atlas on a 1.5 Tesla Magnetic Resonance Linear Accelerator

在1.5特斯拉磁共振直线加速器上开发综合心脏图谱

Schottstaedt, Aronne M; Paulson, Eric S; Rubenstein, Jason C; Chen, Xinfeng; Omari, Eenas A; Li, X Allen; Schultz, Chris J; Puckett, Lindsay L; Robinson, Clifford G; Alongi, Filippo; Gore, Elizabeth M; Hall, William A

Auto-detection of necessity for MRI-guided online adaptive replanning using a machine learning classifier

利用机器学习分类器自动检测MRI引导在线自适应重规划的必要性

Parchur, Abdul K; Lim, Sara; Nasief, Haidy G; Omari, Eenas A; Zhang, Ying; Paulson, Eric S; Hall, William A; Erickson, Beth; Li, X Allen

Development of a multi-layer quality assurance program to evaluate the uncertainty of deformable dose accumulation in adaptive radiotherapy

开发多层质量保证程序,以评估自适应放射治疗中可变形剂量累积的不确定性

Zhong, Hualiang; Garcia-Alvarez, Juan A; Kainz, Kristofer; Tai, An; Ahunbay, Ergun; Erickson, Beth; Schultz, Christopher J; Li, X Allen