[HTML][HTML] Radiomic feature repeatability and its impact on prognostic model generalizability: A multi-institutional study on nasopharyngeal carcinoma patients

J Zhang, SK Lam, X Teng, Z Ma, X Han, Y Zhang… - Radiotherapy and …, 2023 - Elsevier
Background and purpose To investigate the radiomic feature (RF) repeatability via
perturbation and its impact on cross-institutional prognostic model generalizability in …

Towards simulation-free MR-linac treatment: utilizing male pelvis PSMA-PET/CT and population-based electron density assignments

ME Carr, U Jelen, M Picton, V Batumalai… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. This study aimed to investigate the dosimetric impact of using population-based
relative electron density (RED) overrides in lieu of simulation computerized tomography (CT) …

A multi-task deep learning model for EGFR genoty** prediction and GTV segmentation of brain metastasis

Z Zhou, M Wang, R Zhao, Y Shao, L **ng, Q Qiu… - Journal of Translational …, 2023 - Springer
Background The precise prediction of epidermal growth factor receptor (EGFR) mutation
status and gross tumor volume (GTV) segmentation are crucial goals in computer-aided lung …

Is it necessary to perform measurement‐based patient‐specific quality assurance for online adaptive radiotherapy with Elekta Unity MR‐Linac?

Y Xu, W **a, W Ren, M Ma, K Men… - Journal of Applied …, 2024 - Wiley Online Library
This study aimed to investigate the necessity of measurement‐based patient‐specific quality
assurance (PSQA) for online adaptive radiotherapy by analyzing measurement‐based …

Reconstruction of multi‐phase parametric maps in 4D‐magnetic resonance fingerprinting (4D‐MRF) by optimization of local T1 and T2 sensitivities

YL Wong, T Li, C Liu, HFV Lee, LYA Cheung… - Medical …, 2024 - Wiley Online Library
Background Time‐resolved magnetic resonance fingerprinting (MRF), or 4D‐MRF, has been
demonstrated its feasibility in motion management in radiotherapy (RT). However, the …

On‐board synthetic 4D MRI generation from 4D CBCT for radiotherapy of abdominal tumors: A feasibility study

P Quintero, C Wu, R Otazo, L Cervino… - Medical …, 2024 - Wiley Online Library
Background Magnetic resonance‐guided radiotherapy with an MR‐guided LINAC
represents potential clinical benefits in abdominal treatments due to the superior soft‐tissue …

Review of functional magnetic resonance imaging in the assessment of nasopharyngeal carcinoma treatment response

KL Wong, KH Cheng, SK Lam, C Liu… - Precision Radiation …, 2022 - Wiley Online Library
Nasopharyngeal carcinoma (NPC) is a common malignancy endemic in South‐East Asia.
Functional magnetic resonance imaging (fMRI) has been used for prompt detection of …

AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic …

MS Hosseini, SMR Aghamiri, A Fatemi Ardekani… - Journal of Imaging …, 2025 - Springer
Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue
interfaces pose a significant challenge for high-precision radiation therapy modalities like …

Radiotherapy data analysis and reporting (RADAR) toolkit: an end-to-end artificial intelligence development solution for precision medicine

J Zhang - 2023 - theses.lib.polyu.edu.hk
Radiotherapy is one of the mainstream treatment modalities for cancer. A large amount of
structured data, including image, dose, and structure delineations, is produced during …

Implementation of a retrofit MRI simulator for radiation therapy planning

K Cahill, S Rienecker, P O'Connor, M Denham… - 2023 - Wiley Online Library
Magnetic resonance imaging (MRI) is being integrated into routine radiation therapy (RT)
planning workflows. To reap the benefits of this imaging modality, patient positioning, image …