Area of research
Radiology, Nuclear Medicine and Imaging · Biomedical Engineering
Research interest
Research interests include Computer science, Medicine, Lung cancer, Context (archaeology), Machine learning, and Medical physics.
Paradigm shift in early detection: Lung cancer screening to comprehensive CT screening
Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer
AI integrations with lung cancer screening: Considerations in developing AI in a public health setting
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment
Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons
Development of metaverse for intelligent healthcare
Physiological random processes in precision cancer therapy
Task-based measures of image quality and their relation to radiation dose and patient risk
Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons
A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data
Evaluating Imaging and Computer-aided Detection and Diagnosis Devices at the FDA