Skylar Gay

Publications

• Dosimetric impact and detectability of multi-leaf collimator positioning errors on Varian Halcyon
• Improving Lab Culture through Self-Assessment: A Case Study
• Radiation planning assistant - A streamlined, fully automated radiotherapy treatment planning system
• Cost-effective immobilization for whole brain radiation therapy
• Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?
• Radiation-induced lung toxicity in mice irradiated in a strong magnetic field
• Resection cavity auto-contouring for patients with pediatric medulloblastoma using only CT information
• Technical Note: Dose prediction for head and neck radiotherapy using a three-dimensional dense dilated U-net architecture
• Multi-organ segmentation of abdominal structures from non-contrast and contrast enhanced CT images
• A snapshot of medical physics practice patterns
• Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography
• A Bi-directional, Multi-modality Framework for Segmentation of Brain Structures
• Deep Learning–Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans
• Quantum Heat Engines and the Generalized Uncertainty Principle
• Effects of alterations in positron emission tomography imaging parameters on radiomics features
• Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow
• Landmark‐based auto‐contouring of clinical target volumes for radiotherapy of nasopharyngeal cancer
• Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach
• Advanced information and communication technologies including artificial intelligence for global radiation oncology
• Deep learning–based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers
• Synthetic Megavoltage Cone Beam Computed Tomography Image Generation for Improved Contouring Accuracy of Cardiac Pacemakers
• A real-time contouring feedback tool for consensus-based contour training
• Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy
• Fully-automated, CT-only GTV contouring for palliative head and neck radiotherapy
• OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines
• A comparison of knowledge-based dose prediction approaches to assessing head and neck radiotherapy plan quality
• Comparison of Vendor-Pretrained and Custom-Trained Deep Learning Segmentation Models for Head-and-Neck, Breast, and Prostate Cancers