Phantom-Anchored, Kv-Independent Deep Learning for Clinical Thoracic Iodine Map Generation on Photon-Counting CT
To develop a robust, generalizable iodine map generation framework for photon-counting CT (PCCT) using phantom-based calibration and patient-image fine-tuning.
Proffered Program · Diagnostic and Interventional Radiology Physics