FÍSICA MÉDICA

• Quality Assurance of Contouring for NRG Oncology/RTOG 1308 Clinical Trial
  Based onAutomated Segmentation with Deep Active Learning.

 

• Comparing deep learning-based auto-segmentation of organs at risk and clinical
  target volumes to expert inter-observer variability in radiotherapy planning.

 

• External validation and radiologist comparison of a deep learning model (dlm) to
  identify extranodal extension (ene) in head and neck squamous cell carcinoma
  (hnscc) with pretreatment computed tomography (ct) imaging.

 

• A Deep-Learning Based 3D Tumor Motion Prediction Algorithm for Non-Invasive
  Intra-Fractional Tumor-Tracked Radiotherapy (nifteRT) on Linac-MR.​

• Imaging-driven Biophysical Model for the Differentiation of Tumor Progression
  from Radiation Necrosis

 

• Effective Volume of Parotid Glands for Assessing Radiation Injury during
  Radiation Therapy for Head and Neck Cancer

 

• Habitat Evolution Imaging Biomarkers to Assess Early Response and Predict Treatment Outcomes in Oropharyngeal Cance​

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• Dose-distribution-driven pet image-based outcome prediction (ddd-piop): a framework design for oropharyngeal cancer imrt application

• Predicting late radiation-induced xerostomia with parotid pet biomarkers and dose metrics.

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• Optimizing Efficiency and Safety in External Beam Radiotherapy Using Automated Plan Check (APC) Tool and Six Sigma Methodology

 

• Reducing Treatment Delays with a Modified No-Fly Policy​

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• Targeted needs assessment of dosimetry and treatment planning education for united states radiation oncology residents.

 

• Patient safety and process improvements in radiation therapy through 10 years of incident reporting and learning.

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• Applying a machine learning approach to predict acute radiation toxicities for head and neck cancer patients.

 

• Deep-learning based automatic delineation improves ctv contouring quality and efficiency for pathological n2 (pn2) non-small cell lung cancer (nsclc) receiving post-operation radiation therapy.

 

• Elevated coronary artery calcium quantified by a deep learning model from radiotherapy planning scans predicts mortality in lung cancer.

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• Targeted needs assessment of dosimetry and treatment planning education for united states radiation oncology residents.

 

• Implementation of machine learning-based treatment planning tool for whole breast radiotherapy using irregular surface compensator technique.

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• The Low-Dose Bath Paradox: Do Spatial Irradiation Patterns Play a Role in the Incidence of Radiation Pneumonitis Following PSPT or IMRT?

 

• The effect of bolus on local control for patients treated with mastectomy and adjuvant radiotherapy.

 

• Acute Toxicity Patterns in Adaptive High Precision Radiotherapy for Head and Neck Cancer - a Randomised Controlled Trial

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• A novel framework for spatial normalization of dose distributions in voxel-based analyses of brain irradiation outcomes.​

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• Markerless Tumor Tracking using Fast-kV Switching Dual Energy Imaging with the On-Board Imager of a Commercial Linac.

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• Real-Time Scatter Imaging during Lung Stereotactic Body Radiation Therapy (SBRT) Treatment: An Initial Report.

 

• Real-time kv target tracking in pancreatic sbrt: characterizing the clinical and dosimetric impact.

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• First clinical use of 4d-mri for online adaptive mr-grt on a high field mr-linac.

• Clinical imrt irradiation with an mr-linac system: a methodology and preliminary results
  for a real-time verification of spatial accuracy of dose delivery.

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