Accurate auto-contouring is essential for efficient prostate radiotherapy, particularly in image-guided and adaptive workflows, where contour quality influences clinical decision-making. This study quantitatively evaluates Radformation auto-contouring perform...
Author profile
Pretesh Patel, MD
Department of Radiation Oncology and Winship Cancer Institute, Emory University
Micro-ultrasound (microUS) provides high-resolution visualization of the prostate for interventional procedures; however, the scarcity of annotated datasets limits the development of robust automated segmentation methods. This study leverages a foundation-mod...
Cone-beam CT (CBCT) is integral to modern radiotherapy workflows; however, limited soft-tissue contrast and imaging artifacts restrict its quantitative use, particularly for online auto-segmentation in CBCT-guided adaptive radiotherapy. Models pretrained on c...
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...
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...
Prostate MRI is increasingly used in modern radiotherapy, but compared with CT, large-scale MRI datasets remain limited for fine-tuning foundation models. This study investigates the cross-modality transferability of a CT–fine-tuned foundation model to prosta...