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

A respiratory motion analysis for guiding stereotactic arrhythmia radiotherapy motion management

呼吸运动分析在指导立体定向心律失常放射治疗运动管理中的应用

Wang, Yuhao; Hao, Yao; An, Hongyu; Gach, H Michael; Robinson, Clifford G; Cuculich, Phillip S; Yang, Deshan

Real-time 3D MR guided radiation therapy through orthogonal MR imaging and manifold learning

基于正交磁共振成像和流形学习的实时三维磁共振引导放射治疗

Ginn, John; Wang, Chunhao; Yang, Deshan

ICD lead and primary metal artifact detection and inpainting in cardiac CT images

心脏CT图像中ICD导线和主金属伪影的检测和修复

McKeown, Trevor; Gach, H Michael; Hao, Yao; An, Hongyu; Robinson, Clifford G; Cuculich, Phillip S; Yang, Deshan

A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms

用于评估可变形图像配准算法的血管分叉肝脏CT标志点对数据集

Zhang, Zhendong; Criscuolo, Edward Robert; Hao, Yao; McKeown, Trevor; Yang, Deshan

A vessel bifurcation landmark pair dataset for abdominal CT deformable image registration (DIR) validation

用于腹部CT可变形图像配准(DIR)验证的血管分叉标志点对数据集

Criscuolo, Edward R; Zhang, Zhendong; Hao, Yao; Yang, Deshan

Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis

利用神经常微分方程的放射基因组学可解释人工智能识别立体定向放射外科手术后脑转移放射性坏死

Zhao, Jingtong; Vaios, Eugene; Yang, Zhenyu; Lu, Ke; Floyd, Scott; Yang, Deshan; Ji, Hangjie; Reitman, Zachary J; Lafata, Kyle J; Fecci, Peter; Kirkpatrick, John P; Wang, Chunhao

A motion analysis of cardiac substructures for guiding stereotactic arrhythmia radiotherapy motion management

心脏亚结构运动分析在立体定向心律失常放射治疗运动管理中的应用

Wang, Yuhao; McKeown, Trevor; Hao, Yao; An, Hongyu; Gach, H Michael; Robinson, Clifford G; Cuculich, Phillip S; Yang, Deshan

A comprehensive lung CT landmark pair dataset for evaluating deformable image registration algorithms

用于评估可变形图像配准算法的综合性肺部CT标志点对数据集

Criscuolo, Edward R; Fu, Yabo; Hao, Yao; Zhang, Zhendong; Yang, Deshan

A deep learning approach to remove contrast from contrast-enhanced CT for proton dose calculation

一种利用深度学习方法去除增强CT图像对比度以进行质子剂量计算的方法

Wang, Xu; Hao, Yao; Duan, Ye; Yang, Deshan

Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning.

技术说明:利用深度学习在 0.35 T MRI-Linac 上最大限度地减少 CIED 伪影

Curcuru Austen N, Yang Deshan, An Hongyu, Cuculich Phillip S, Robinson Clifford G, Gach H Michael