Deep learning–based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers
MP Gronberg, A Jhingran, TJ Netherton… - Medical …, 2023 - Wiley Online Library
Background In recent years, deep‐learning models have been used to predict entire three‐
dimensional dose distributions. However, the usability of dose predictions to improve plan …
dimensional dose distributions. However, the usability of dose predictions to improve plan …
Consistency in contouring of organs at risk by artificial intelligence vs oncologists in head and neck cancer patients
Abstract Background In the Danish Head and Neck Cancer Group (DAHANCA) 35 trial,
patients are selected for proton treatment based on simulated reductions of Normal Tissue …
patients are selected for proton treatment based on simulated reductions of Normal Tissue …
[HTML][HTML] Optimal timing of re-planning for head and neck adaptive radiotherapy
Y Gan, JA Langendijk, E Oldehinkel, Z Lin… - Radiotherapy and …, 2024 - Elsevier
Background and purpose Adaptive radiotherapy (ART) relies on re-planning to correct
treatment variations, but the optimal timing of re-planning to account for dose changes in …
treatment variations, but the optimal timing of re-planning to account for dose changes in …
[HTML][HTML] Knowledge-based planning for fully automated radiation therapy treatment planning of 10 different cancer sites
CV Chung, MS Khan, A Olanrewaju, M Pham… - Radiotherapy and …, 2025 - Elsevier
Purpose Radiation treatment planning is highly complex and can have significant inter-and
intra-planner inconsistency, as well as variability in planning time and plan quality …
intra-planner inconsistency, as well as variability in planning time and plan quality …
[HTML][HTML] Automated contouring and statistical process control for plan quality in a breast clinical trial
H Baroudi, CIHM Nguyen, S Maroongroge… - Physics and Imaging in …, 2023 - Elsevier
Background and purpose Automatic review of breast plan quality for clinical trials is time-
consuming and has some unique challenges due to the lack of target contours for some …
consuming and has some unique challenges due to the lack of target contours for some …
Intentional deep overfit learning for patient‐specific dose predictions in adaptive radiotherapy
Background The framework of adaptive radiation therapy (ART) was crafted to address the
underlying sources of intra‐patient variation that were observed throughout numerous …
underlying sources of intra‐patient variation that were observed throughout numerous …
Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy
Deep learning-based automated contouring and treatment planning has been proven to
improve the efficiency and accuracy of radiotherapy. However, conventional radiotherapy …
improve the efficiency and accuracy of radiotherapy. However, conventional radiotherapy …
Enhancing stereotactic ablative boost radiotherapy dose prediction for bulky lung cancer: A multi‐scale dilated network approach with scale‐balanced structure loss
L Huang, X Gao, Y Li, F Lyu, Y Gao… - Journal of Applied …, 2025 - Wiley Online Library
Purpose Partial stereotactic ablative boost radiotherapy (P‐SABR) effectively treats bulky
lung cancer; however, the planning process for P‐SABR requires repeated dose …
lung cancer; however, the planning process for P‐SABR requires repeated dose …
[HTML][HTML] Assessment of bias in scoring of AI-based radiotherapy segmentation and planning studies using modified TRIPOD and PROBAST guidelines as an example
Background and purpose Studies investigating the application of Artificial Intelligence (AI) in
the field of radiotherapy exhibit substantial variations in terms of quality. The goal of this …
the field of radiotherapy exhibit substantial variations in terms of quality. The goal of this …
Artificial neural network-assisted prediction of radiobiological indices in head and neck cancer
Background and purpose We proposed an artificial neural network model to predict
radiobiological parameters for the head and neck squamous cell carcinoma patients treated …
radiobiological parameters for the head and neck squamous cell carcinoma patients treated …