| Re-Imagining CT Methodology |
MO-AB-KDBRA1-2: John R. Cameron Young Investigator Symposium
A Stationary Computed Tomography Module Using Photocathode-Driven X-Ray Sources |
Avilash Cramer |
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| Emerging Modalities and Platforms |
MO-AB-KDBRA1-9: John R. Cameron Young Investigator Symposium
Optimization of a Spectroscopic Photoacoustic Imaging Technique to Noninvasively Assess Oxygen Saturation in Murine Femoral Bone Marrow |
Cayla Wood |
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MO-AB-KDBRA1-10: John R. Cameron Young Investigator Symposium
A Novel Multi-Projection Bioluminescence Tomography for Small Animal Radiation Research Platform (SARRP) |
Xiangkun Xu |
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MO-K-KDBRC-7: Advanced Computing Applications
A Virtual Reality Platform for Medical Imaging Analysis and Radiation Therapy Planning |
Christopher Williams |
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| Functional Imaging |
MO-AB-KDBRA1-4: John R. Cameron Young Investigator Symposium
Diffusion-Prepared Multi-Shot BSSFP Imaging with Gradient Stabilizer for High-Resolution and Distortion-Free Diffusion Imaging |
Yu Gao |
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MO-K-DBRB-2: Quantitative Imaging: PET/CT, PET/MR, and MR
Improved PET Quantification by Adaptive Denoising and Regularized Image Reconstruction: A Feasibility Study |
Mauro Namias |
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| Informing Therapy with Biology |
MO-AB-KDBRA1-6: John R. Cameron Young Investigator Symposium
Mapping Biological Effects Along a Scanned 81.4 MeV Proton Beam: LET Modulation of the DNA Repair Response |
Lawrence Bronk |
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MO-K-DBRA-5: Data Science: Applications in Radiation Therapy
Incorporating a Novel Radiomics Framework for Biologically Optimised Prostate RadioTherapy (BiRT) |
Annette Haworth |
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MO-K-KDBRC-6: Advanced Computing Applications
JACK KROHMER JUNIOR INVESTIGATOR COMPETITION WINNER: Selecting Predictive Genomic Biomarkers for Oropharyngeal Cancer Treatment Prediction by Use of Advanced Machine Learning Method |
Jian Wu |
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| Ensuring Safety, Quality, and Efficiency |
MO-K-KDBRC-1: Advanced Computing Applications
Automated Standardization of Organ Labeling in Head and Neck Using Deep Learning |
Timothy Rozario |
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MO-K-DBRA-2: Data Science: Applications in Radiation Therapy
BEST IN PHYSICS (THERAPY): Health Information Gateway and Exchange (HINGE): Radiation Oncology Data Analytics Portal |
Joseph Nalluri |
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| New Approaches to Quantify Dose |
MO-AB-KDBRA1-1: John R. Cameron Young Investigator Symposium
A Novel SPECT/CT-Based Lung Dose Estimation for Treatment Planning in Y90 Microsphere Radioembolization Therapy |
Benjamin Lopez |
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MO-AB-KDBRA1-8: John R. Cameron Young Investigator Symposium
Scintillator Target Imaging Provides Accurate Remote Multi-Site Surface Dosimetry |
Irwin Tendler |
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MO-K-DBRA-8: Data Science: Applications in Radiation Therapy
Volumetric Dose Prediction On Head and Neck Cancer Patients with a Novel Deep Learning Architecture: Hierarchically Densely Connected U-Net |
Dan Nguyen |
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| MRI in RT |
MO-K-KDBRC-2: Advanced Computing Applications
BEST IN PHYSICS (JOINT IMAGING-THERAPY): Deep Learning Mapping of CT to MRI for Longitudinal Tracking of Lung Tumors for MRI-Guided Radiotherapy |
Jue Jiang |
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| Response Assessment |
MO-K-DBRB-5: Quantitative Imaging: PET/CT, PET/MR, and MR
Automated Evaluation of Proton Therapy Related Changes in Intracranial Vessel Diameter On Longitudinal Magnetic Resonance Angiography |
Chihyang Hsu |
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| Prediction and Classification |
MO-K-KDBRC-6: Advanced Computing Applications
JACK KROHMER JUNIOR INVESTIGATOR COMPETITION WINNER: Selecting Predictive Genomic Biomarkers for Oropharyngeal Cancer Treatment Prediction by Use of Advanced Machine Learning Method |
Jian Wu |
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| Artificial Intelligence and Machine Learning |
MO-K-DBRA-4: Data Science: Applications in Radiation Therapy
Feasibility of Using Machine Learning Techniques to Predict the Results of VMAT Patient-Specific QC Measurements |
Dal Granville |
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MO-K-DBRA-8: Data Science: Applications in Radiation Therapy
Volumetric Dose Prediction On Head and Neck Cancer Patients with a Novel Deep Learning Architecture: Hierarchically Densely Connected U-Net |
Dan Nguyen |
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MO-K-KDBRC-1: Advanced Computing Applications
Automated Standardization of Organ Labeling in Head and Neck Using Deep Learning |
Timothy Rozario |
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MO-K-KDBRC-2: Advanced Computing Applications
BEST IN PHYSICS (JOINT IMAGING-THERAPY): Deep Learning Mapping of CT to MRI for Longitudinal Tracking of Lung Tumors for MRI-Guided Radiotherapy |
Jue Jiang |
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MO-K-KDBRC-3: Advanced Computing Applications
Automated Detection of Vertebral Body Metastases for Fully-Automated Palliative Radiotherapy Using Transfer Learning |
Tucker Netherton |
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MO-K-KDBRC-4: Advanced Computing Applications
An Automated Method to Generate Patient-Specific Dose Distributions for Radiotherapy Using Deep Learning |
Xinyuan Chen |
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MO-K-KDBRC-6: Advanced Computing Applications
JACK KROHMER JUNIOR INVESTIGATOR COMPETITION WINNER: Selecting Predictive Genomic Biomarkers for Oropharyngeal Cancer Treatment Prediction by Use of Advanced Machine Learning Method |
Jian Wu |
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