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Physics in Medicine and Biology|November 19, 2013
Real-time estimation of prostate tumor rotation and translation with a kV imaging system based on an iterative closest point algorithmJoubin Nasehi Tehrani, Ricky T O'Brien, Per Rugaard Poulsen, et al.
Physics in Medicine and Biology|February 19, 2021
Dose-based optimisation for multi-leaf collimator tracking during radiation therapyLars Mejnertsen, Emily Hewson, Doan Trang Nguyen, et al.
Physics in Medicine and Biology|June 26, 2018
An in silico performance characterization of respiratory motion guided 4DCT for high-quality low-dose lung cancer imagingSpencer Martin, Ricky O' Brien, Christian Hofmann, et al.
International Journal of Radiation Oncology, Biology, Physics|November 7, 2020
A Review of Cardiac Radioablation (CR) for Arrhythmias: Procedures, Technology, and Future OpportunitiesSuzanne Lydiard PGDip, Oliver Blanck, Geoffrey Hugo, et al.
Medical Physics|October 21, 2024
Necessity and impact of specialization of large foundation model for medical segmentation tasksEric Nguyen, Hengjie Liu, Dan Ruan
The Quarterly Journal of Nuclear Medicine and Molecular Imaging : Official Publication of the Italian Association of Nuclear Medicine (AIMN) [And] the International Association of Radiopharmacology (IAR), [And] Section of the Society Of|April 14, 2022
Efficient 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based machine learning model for predicting epidermal growth factor receptor mutations in non-small cell lung cancerDan Ruan, Janyao Fang, Xinyu Teng
Medical Physics|January 10, 2016
Fast leaf-fitting with generalized underdose/overdose constraints for real-time MLC trackingDouglas Moore, Dan Ruan, Amit Sawant
Physics in Medicine and Biology|June 15, 2016
Prediction of high-dimensional states subject to respiratory motion: a manifold learning approachWenyang Liu, Amit Sawant, Dan Ruan
Medical Physics|July 25, 2008
On the accuracy of a moving average algorithm for target tracking during radiation therapy treatment deliveryRohini George, Yelin Suh, Martin Murphy, et al.
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