Author profile
Department of Radiation Oncology and Winship Cancer Institute, Emory University
While image translation models like CycleGANs are increasingly used in medical imaging tasks, evaluating their training behavior remains challenging. Current practices often rely on batch-wise loss curves or selected visual outputs, both of which can be noisy...
Stereotactic Body Radiation Therapy (SBRT) has gained attention for the treatment of patients with refractory ventricular tachycardia (VT). VT substrates are complex, multifocal, progressive, and may require urgent treatment. As a result, plan quality can var...
Deformable image registration (DIR) in medical imaging remains inherently ill-conditioned due to structural ambiguities and weak anatomical constraints. Although foundation models (FMs) have shown strong promise for unsupervised DIR, existing approaches typic...
Therapy Physics
Online adaptive proton therapy is highly sensitive to interfractional anatomical variation, yet conventional online replanning workflows remain time‑intensive and limit routine clinical implementation, particularly for hypofractionated prostate stereotactic b...
Low-count PET acquisition and inter-radiotracer translation offer effective strategies to reduce radiation dose and mitigate tracer availability constraints. Recent self-supervised learning (SSL) foundation models (e.g., DINOv3) have demonstrated strong abili...