Luc Gingras,Yunuen Cervantes,Frederic Beaulieu et al.
Luc Gingras et al.
Background: As small radiation fields play an ever-increasing role in radiation therapy, accurate dosimetry of these fields becomes critical to ensure high quality dose calculation and treatment optimization. Despite the ...
MR-Linac is a better choice for adaptive therapy compared to cone-beam CT [0.03%]
与锥形束CT相比，MR- Linac是自适应治疗的更好选择
Filippo Alongi,Dandan Zheng,Indra J Das
Filippo Alongi
A graphical user interface for Monte Carlo dose calculations for brachytherapy with egs_brachy [0.03%]
用于近距离治疗蒙特卡罗剂量计算的图形用户界面egs_brachy
Narjes Moghadam,Fatemeh Akbari,Shannon Jarvis et al.
Narjes Moghadam et al.
Background: Recent advancements in brachytherapy necessitate precise dose calculations, transitioning from the traditional TG43 planning methods to the more sophisticated TG186 recommendations. However, the availability o...
A general model for head and neck auto-segmentation with patient pre-treatment imaging during adaptive radiation therapy [0.03%]
自适应放射治疗中利用患者治疗前影像进行头颈自动勾画的通用模型
Brett Clark,Nicholas Hardcastle,Mathieu Gaudreault et al.
Brett Clark et al.
Background: During head and neck (HN) radiation therapy, patients may undergo anatomical changes due to tumor shrinkage or weight loss. For these patients, adaptive radiation therapy (ART) is required to correct treatment...
Co-training semi-supervised medical image segmentation based on pseudo-label weight balancing [0.03%]
基于伪标签权重平衡的半监督医学图像分割协同训练方法
Jiashi Zhao,Li Yao,Wang Cheng et al.
Jiashi Zhao et al.
Purpose: Major challenges in current semi-supervised segmentation methods: (1) The complementary nature of information in pseudo-label: a key limitation of consistent regularization methods is the tendency of sub-networks...
An implicit neural deformable ray model for limited and sparse view-based spatiotemporal reconstruction [0.03%]
基于有限和稀疏视角时空重建的隐式神经可变形光线模型
Yuanwei He,Dan Ruan
Yuanwei He
Background: Continuous spatiotemporal volumetric reconstruction is highly valuable, especially in radiation therapy, where tracking and calculating actual exposure during a treatment session is critical. This allows for a...
Deep learning framework for interpretable quality control of echocardiography video [0.03%]
用于心脏超声视频质量控制的可解释深度学习框架
Liwei Du,Wufeng Xue,Zhanru Qi et al.
Liwei Du et al.
Background: Echocardiography (echo) has become an indispensable tool in modern cardiology, offering real-time imaging that helps clinicians evaluate heart function and identify abnormalities. Despite these advantages, the...
Knowledge relay: Synergetic generation and transfer learning for pancreatic tumor segmentation on multimodal images [0.03%]
知识传递：生成协同和迁移学习在多模式图像胰腺肿瘤分割中的应用
Shuiping Gou,Ningtao Liu,Wenbo Liu et al.
Shuiping Gou et al.
Background: Pancreatic cancer is among the most lethal malignancies, with the lowest survival rates. The use of image-guided radiotherapy has shown significant potential in enhancing surgical outcomes for pancreatic cance...
Optimization of Low-Contrast Detectability in Abdominal Imaging: A Comparative Analysis of PCCT, DECT, and SECT Systems [0.03%]
腹部成像中低对比度可检测性的优化：PCCT、DECT和SECT系统的比较分析
Jessica D Flores,Erik Wåhlin,Louise Blomkvist et al.
Jessica D Flores et al.
Background: Clear representation of anatomy is essential in the assessment of pathology in computed tomography (CT). With the introduction of photon-counting CT (PCCT) and more advanced iterative reconstruction (IR) algor...
Uncertainty-guided multitask semi-supervised network for the multi-organ segmentation of breast cancer CBCT [0.03%]
用于乳腺癌CBCT多器官分割的不确定性引导多任务半监督网络
Zi-Yi Wang,Wei Sun,Heng Zhang et al.
Zi-Yi Wang et al.
Background: The delineation of organs at risk (OARs) and clinical target volume (CTV) is an important step in adaptive radiotherapy (ART). Cone-beam computed tomography (CBCT) images are easy to obtain in radiotherapy (RT...