Browsing "1. Journal Papers" by Identifier : 0094-2405

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Showing results 1 to 16 of 16

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Issue DateTitleJournal Title
2023A high-resolution cone beam computed tomography (HRCBCT) reconstruction framework for CBCT-guided online adaptive therapyMEDICAL PHYSICS
2015A virtual simulator designed for collision prevention in proton therapyMEDICAL PHYSICS
2023Acute coronary event (ACE) prediction following breast radiotherapy by features extracted from 3D CT, dose, and cardiac structuresMEDICAL PHYSICS
2019Commissioning of a fluoroscopic-based real-time markerless tumor tracking system in a superconducting rotating gantry for carbon-ion pencil beam scanning treatmentMEDICAL PHYSICS
2020Contact lens-type ocular in vivo dosimeter for radiotherapyMEDICAL PHYSICS
2023Deep learning proton beam range estimation model for quality assurance based on two-dimensional scintillated light distributions in simulationsMEDICAL PHYSICS
2015Development of a 3D optical scanning-based automatic quality assurance system for proton range compensatorsMEDICAL PHYSICS
2023Development of a quasi-3D dosimeter using radiochromic plastic for patient-specific quality assuranceMEDICAL PHYSICS
2023Ensemble learning and personalized training for the improvement of unsupervised deep learning-based synthetic CT reconstructionMEDICAL PHYSICS
2020Flexible film dosimeter for in vivo dosimetryMEDICAL PHYSICS
2024Generating 3D images of VMAT plans for predictive models and activation maps associated with plan deliverabilityMEDICAL PHYSICS
2022Intentional deep overfit learning (IDOL): A novel deep learning strategy for adaptive radiation therapyMEDICAL PHYSICS
2019MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation modelMedical Physics
2023Segmentation by test-time optimization for CBCT-based adaptive radiation therapyMEDICAL PHYSICS
2019Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapyMedical Physics
2023Technical note: Progressive deep learning: An accelerated training strategy for medical image segmentationMEDICAL PHYSICS
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