A Data-Efficient Unsupervised Deep Learning Deformable SPECT/CT Registration Framework for Voxel-Level Radionuclide Therapy Dosimetry
To develop a data-efficient, unsupervised deep learning framework for deformable SPECT/CT registration that supports voxel-based dosimetry in radionuclide therapy, particularly in clinical settings with limited imaging datasets.
Proffered Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine