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

Sharing a flexible urethral sparing SBRT prostate RapidPlan model and quantifying plan quality via dosimetric scorecard with clinical implementation

分享一种灵活的、可保留尿道的SBRT前列腺RapidPlan模型,并通过剂量学评分卡量化计划质量,并应用于临床实践。

Sackett, Jonathan; Magliari, Anthony; Clark, Ryan; Rosa, Lesley; Guida, Kenny; Gao, Riqiang; Arberet, Simon; Kamen, Ali

Beam's eye view to fluence maps 3D network for ultra fast VMAT radiotherapy planning

Beam 的视角,通过三维网络构建射束强度图,实现超快速 VMAT 放射治疗计划

Arberet, Simon; Ghesu, Florin C; Gao, Riqiang; Kraus, Martin; Sackett, Jonathan; Kuusela, Esa; Kamen, Ali

Accelerated free-breathing abdominal T2 mapping with deep learning reconstruction of radial turbo spin-echo data

利用深度学习重建径向快速自旋回波数据,加速自由呼吸腹部T2映射

Toner, Brian; Arberet, Simon; Zhang, Shu; Han, Fei; Ahanonu, Eze; Goerke, Ute; Johnson, Kevin; Abouelfetouh, Zeyad; Codreanu, Ion; Sridhar, Sajeev; Arif-Tiwari, Hina; Deshpande, Vibhas; Martin, Diego R; Nadar, Mariappan; Altbach, Maria I; Bilgin, Ali

Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection

采用基于深度学习的图像重建的单次激发技术在3T磁场下加速肝脏T2加权磁共振成像:对图像质量和病灶检测的影响

Ginocchio, Luke A; Smereka, Paul N; Tong, Angela; Prabhu, Vinay; Nickel, Dominik; Arberet, Simon; Chandarana, Hersh; Shanbhogue, Krishna P

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

2020年fastMRI机器学习磁共振图像重建挑战赛结果

Muckley, Matthew J; Riemenschneider, Bruno; Radmanesh, Alireza; Kim, Sunwoo; Jeong, Geunu; Ko, Jingyu; Jun, Yohan; Shin, Hyungseob; Hwang, Dosik; Mostapha, Mahmoud; Arberet, Simon; Nickel, Dominik; Ramzi, Zaccharie; Ciuciu, Philippe; Starck, Jean-Luc; Teuwen, Jonas; Karkalousos, Dimitrios; Zhang, Chaoping; Sriram, Anuroop; Huang, Zhengnan; Yakubova, Nafissa; Lui, Yvonne W; Knoll, Florian