| Novel Detection Technologies |
TH-CD-207-6: Radiography and Fluoroscopy
How Does Anti-Charge Sharing Impact the Zero-Frequency DQE of Photon Counting Detector Systems? Theoretical Framework and Experimental Validation |
Xu Ji |
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TH-EF-202-2: Cone-beam Computed Tomography
A Novel High Quantum Efficiency MV X-Ray Detector for Image-Guided Radiotherapy |
Jian Liu |
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| Re-Imagining CT Methodology |
TH-AB-202-7: Multienergy Computed Tomography
Multi-Energy CT for Multi-Phase Imaging Using Two Contrast Agents: Does It Reduce Radiation Dose? |
Liqiang Ren |
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TH-AB-202-9: Multienergy Computed Tomography
Noise Suppression in Image-Domain Material Decomposition for Triple-Energy CT |
Shanzhou Niu |
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TH-EF-202-3: Cone-beam Computed Tomography
BEST IN PHYSICS (IMAGING): Prospective Control of Prior-Image-Based Reconstruction for Ultralow-Dose CT: Application in Lung Nodule Surveillance |
Hao Zhang |
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| Artifact and Noise Mitigation |
TH-EF-202-9: Cone-beam Computed Tomography
Noise Subtraction for CT Images Acquired at Multiple Dose Levels Using a Deep Convolutional Neural Network |
Andrew Missert |
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TH-EF-202-4: Cone-beam Computed Tomography
CBCT Projection-Domain Scatter Correction with a Residual Convolutional Neural Network |
Yusuke Nomura |
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| Intelligent Treatment Planning |
TH-AB-KDBRA1-4: Novel Treatment Delivery and Verification Strategies
A Novel Method to Facilitate Optimization of VMAT-Based Total Marrow Irradiation Plans with the Knowledge-Based Treatment Planning Technique |
Chunhui Han |
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TH-AB-KDBRC-6: Adaptive Radiation Therapy
Integrating Virtual Bronchoscopy with Ventilation Mapping for Preserving Post-Treatment Respiratory Function in Lung Stereotactic Ablative Radiotherapy |
Esther Vicente |
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| Informing Therapy with Biology |
TH-AB-KDBRA1-6: Novel Treatment Delivery and Verification Strategies
A Preclinical Study of Combination Therapy Using Radiation Therapy with 5-Aminolevulinic Acid and Carbamide Peroxide |
Joseph Panetta |
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TH-AB-KDBRA1-12: Novel Treatment Delivery and Verification Strategies
Radiotherapy with No Margins |
Wilfred Ngwa |
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TH-CD-DBRA-10: Radiation Dosimetry and Quality Assurance
Macro-To-Micro Modeling and Dosimetry for the Salivary Gland: Application to 131I and 225Ac-PSMA Therapy |
Robert Hobbs |
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TH-EF-KDBRA1-10: Monte Carlo Simulation and High Performance Computing
Monte Carlo Simulation of the Dose From Radiosynoviorthesis Using Sn-117m, Er-169, and Re-186 Including Stochastic Macrophage Motion |
Aashish Gupta |
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| Ensuring Safety, Quality, and Efficiency |
TH-AB-DBRA-11: Treatment Implications of Motion Management
Novel Visual Feedback Device Provides Enhanced Patient Coaching Experience for Patients Undergoing Left Breast DIBH |
David Campos |
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TH-AB-KDBRB1-9: Point/Counterpoint Live Debate: Artificial Intelligence Will Soon Change the Landscape of Medical Physics Research and Practice
Using Machine Learning to Develop a Novel Error Detection Algorithm for HDR Brachytherapy |
David Sterling |
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TH-AB-KDBRC-7: Adaptive Radiation Therapy
BEST IN PHYSICS (JOINT IMAGING-THERAPY): Avoiding Highly Functional Ventilation Zones Decreases the Risk of Radiation Pneumonitis During Proton and Photon Radiotherapy for Lung Cancer |
Shannon O'Reilly |
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| Precision in Treatment Delivery |
TH-AB-DBRA-2: Treatment Implications of Motion Management
An Externally and Internally Deformable Lung Motion Phantom with Programmable, Variable External-Internal Correlation |
maida ranjbar |
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TH-AB-KDBRA1-1: Novel Treatment Delivery and Verification Strategies
4piVMAT for Efficient Delivery of Highly Conformal Non-Coplanar Plans |
Qihui Lyu |
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TH-AB-KDBRA1-11: Novel Treatment Delivery and Verification Strategies
Simultaneous MLC and Couch Tracking: A Clinical Feasibility Study |
Lei Zhang |
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TH-EF-KDBRA1-7: Monte Carlo Simulation and High Performance Computing
Experimental Verification of 4D Monte Carlo Simulations in a Deforming Anatomy |
Sara Gholampourkashi |
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TH-EF-KDBRA1-8: Monte Carlo Simulation and High Performance Computing
GPU-Accelerated Optimization of Biologically Effective Dose for Inverse-Planned Nonuniform Spatio-Temporal Fractionation |
Aaron Hagan |
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| New Approaches to Quantify Dose |
TH-CD-DBRA-9: Radiation Dosimetry and Quality Assurance
Fiber Optic Dosimeters Based On Silver-Only Coated Hollow Waveguides for Radiation Therapy Dosimetry |
Arash Darafsheh |
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TH-EF-KDBRA1-5: Monte Carlo Simulation and High Performance Computing
Distributed Multi-GPU Photon Beamlet Dose Calculation for Efficient Radiation Treatment Planning |
Ryan Neph |
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| MRI in RT |
TH-AB-KDBRA1-8: Novel Treatment Delivery and Verification Strategies
Performance of a Doubly-Focused Double-Stack Multi-Leaf Collimator (MLC) System On a MR Guided Linear Accelerator |
Bin Cai |
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TH-EF-KDBRB1-9: MRI in Treatment Planning
Patient-Specific Synthetic CT Generation for MRI-Only Prostate Radiotherapy Treatment Planning |
Xiaofeng Yang |
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| Prediction and Classification |
TH-AB-DBRA-7: Treatment Implications of Motion Management
Impact of Parotid Gland Migration On Xerostomia Prediction |
Rosario Astaburuaga |
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TH-AB-DBRB-4: Radiomics (Session 5 of the Certificate Series)
A Multi-Objective Based Feature Selection Method for Lung Nodule Malignancy Classification |
Zhiguo Zhou |
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TH-AB-KDBRB1-6: Point/Counterpoint Live Debate: Artificial Intelligence Will Soon Change the Landscape of Medical Physics Research and Practice
Lung Nodule Malignancy Prediction by Combining Handcrafted Features and Deep Convolutional Neural Network |
Shulong Li |
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| Artificial Intelligence and Machine Learning |
TH-AB-KDBRB1-5: Point/Counterpoint Live Debate: Artificial Intelligence Will Soon Change the Landscape of Medical Physics Research and Practice
Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning |
Zohaib Iqbal |
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TH-AB-KDBRB1-6: Point/Counterpoint Live Debate: Artificial Intelligence Will Soon Change the Landscape of Medical Physics Research and Practice
Lung Nodule Malignancy Prediction by Combining Handcrafted Features and Deep Convolutional Neural Network |
Shulong Li |
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TH-AB-KDBRB1-7: Point/Counterpoint Live Debate: Artificial Intelligence Will Soon Change the Landscape of Medical Physics Research and Practice
A Deep Learning-Based Tumor Auto-Contouring Algorithm for Real-Time Tumor Tracking Using Linac-MR |
Jihyun Yun |
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TH-AB-KDBRB1-9: Point/Counterpoint Live Debate: Artificial Intelligence Will Soon Change the Landscape of Medical Physics Research and Practice
Using Machine Learning to Develop a Novel Error Detection Algorithm for HDR Brachytherapy |
David Sterling |
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TH-CD-207-2: Radiography and Fluoroscopy
Deep Learning in the Classification of Thoracic Radiographic Views to Enable Accurate and Efficient Clinical Workflows |
Jennie Crosby |
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TH-CD-KDBRC-8: Registration and Segmentation
Atrous Convolution and Spatial Pyramid Pooling for More Accurate Tumor Segmentation in MR Images |
Kuo Men |
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TH-CD-KDBRC-9: Registration and Segmentation
A Deep Learning Based Auto Segmentation for H&N Organs On Treatment Planning CT Images |
Shijun Sun |
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TH-EF-202-9: Cone-beam Computed Tomography
Noise Subtraction for CT Images Acquired at Multiple Dose Levels Using a Deep Convolutional Neural Network |
Andrew Missert |
|
TH-EF-202-4: Cone-beam Computed Tomography
CBCT Projection-Domain Scatter Correction with a Residual Convolutional Neural Network |
Yusuke Nomura |
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TH-EF-KDBRB1-9: MRI in Treatment Planning
Patient-Specific Synthetic CT Generation for MRI-Only Prostate Radiotherapy Treatment Planning |
Xiaofeng Yang |
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