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 Cancer
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.

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
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.

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

Markerless Tumor Tracking using Fast-kV Switching Dual Energy Imaging with the On-Board Imager of a Commercial Linac.
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.
First clinical use of 4d-mri for online adaptive mr-grt on a high field mr-linac. 5. Clinical imrt irradiation with an mr-linac system: a methodology and preliminary results for a real-time verification of spatial accuracy of dose delivery.