Author profile
Duke University
To propose a federated learning (FL) framework incorporating a novel deep ensemble strategy for multi-institutional brain metastasis (BM) segmentation, improving performance in limited local datasets while preserving privacy by avoiding large-scale data trans...
Effective radiotherapy for upper abdominal tumors requires dose escalation but is limited by respiratory motion and the low gastrointestinal radiation tolerance. Current clinical motion management on conventional Linacs relies on simple external surrogates th...
To develop and evaluate a federated learning (FL) framework for brain metastasis (BM) segmentation that integrates an uncertainty score into a novel FL objective, improving segmentation robustness and potentially performance when training on limited-size data...
To study the cardiac and respiratory heart motion together. Cardiorespiratory motion management is a significant topic in stereotactic arrhythmia radiotherapy (STAR). Cardiorespiratory motion consists of the heart beating and respiration. Commonly studied sep...
Radiotherapy for upper abdominal cancers is limited by respiratory motion and the low radiation tolerance, restricting safe dose escalation. Conventional linear accelerators rely on kV X-ray and CBCT imaging but lack real-time internal motion tracking capabil...