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

Implementing a fully computed tomography-free online adaptive palliative radiotherapy: a one-visit workflow

实施完全无需计算机断层扫描的在线自适应姑息性放射治疗:单次就诊工作流程

Jaglal, Ashaya T; Nelissen, Koen J; van Vlaenderen, Angelique R W; de la Fuente, Amy L; Schneiders, Famke L; van Rossum, Peter S N; Wiersma, Jan; Verbakel, Wilko F A R; Senan, Suresh; Visser, Jorrit; Versteijne, Eva

Cone beam computed tomography-guided online adaptive radiation therapy: Clinical implementation in breast and axillary target volumes

锥形束计算机断层扫描引导在线自适应放射治疗:在乳腺和腋窝靶区的临床应用

van Vlaenderen, Angelique R W; Middelburg-van Rijn, Judith G; Nelissen, Koen J; Goudschaal, Karin N; Ter Beek, Lars; van der Himst, Jessica; Glebbeek, Cassey E; van Maurik, Lisette M; Bakker, Amber L; Bijker, Nina; Verhoeff, Joost J C; Slotman, Ben J; Dinkla, Anna; Verbakel, Wilko F A R; van den Bongard, Desirée H J G

Hybrid proton planning combining spread-out Bragg peak beams with transmission beams to shorten field delivery times while maintaining plan quality

混合质子治疗计划结合了扩展布拉格峰束和透射束,以缩短治疗时间,同时保持计划质量。

Hytönen, Roni; Vanderstraeten, Reynald; Verbakel, Wilko F A R

Explainable AI for raising confidence in deep learning-based tumor tracking models

可解释人工智能用于提高对基于深度学习的肿瘤追踪模型的信心

Grama, Dragos; Dahele, Max; Slotman, Ben; Verbakel, Wilko F A R

Clinical Implementation of Cone Beam Computed Tomography-Guided Online Adaptive Radiation Therapy in Whole Breast Irradiation

锥形束计算机断层扫描引导在线自适应放射治疗在全乳照射中的临床应用

Nelissen, Koen J; Verbakel, Wilko F A R; Middelburg-van Rijn, Judith G; Rijksen, Barbara L T; Admiraal, Marjan A; Visser, Jorrit; van der Himst, Jessica; Goudschaal, Karin N; Bucko, Ewa; Slotman, Ben J; van Vlaenderen, Angelique R W; van den Bongard, Desiree H J G

Effects of ayahuasca in preclinical studies with animals: a systematic review

死藤水在动物临床前研究中的作用:系统评价

Walsh-Monteiro, A; Morato, S; Uribe, F A R; Gouveia, A Jr; Pedroso, J S

Impact of annotation imperfections and auto-curation for deep learning-based organ-at-risk segmentation

标注缺陷和自动注释对基于深度学习的风险器官分割的影响

Strijbis, Victor I J; Gurney-Champion, O J; Slotman, Berend J; Verbakel, Wilko F A R

Dose distribution prediction for head-and-neck cancer radiotherapy using a generative adversarial network: influence of input data

利用生成对抗网络预测头颈癌放射治疗的剂量分布:输入数据的影响

Gu, Xiaojin; Strijbis, Victor I J; Slotman, Ben J; Dahele, Max R; Verbakel, Wilko F A R

Evaluation of a workflow for cone-beam CT-guided online adaptive palliative radiotherapy planned using diagnostic CT scans

评估基于诊断性CT扫描的锥形束CT引导在线自适应姑息性放射治疗的工作流程

Nelissen, Koen J; Versteijne, Eva; Senan, Suresh; Hoffmans, Daan; Slotman, Ben J; Verbakel, Wilko F A R

Influence of Beam Angle on Normal Tissue Complication Probability of Knowledge-Based Head and Neck Cancer Proton Planning

光束角度对正常组织并发症概率的影响;基于知识的头颈癌质子治疗计划

Hytönen, Roni; Vanderstraeten, Reynald; Dahele, Max; Verbakel, Wilko F A R